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Customer Success Manager – Remote LATAM 
Willing to hire from the following locations: Colombia, Argentina, Mexico, Peru

Signature Boost is a U.S.-based credit education and optimization company helping consumers and business owners improve their overall credit profiles and become better positioned for future financial opportunities.

We're looking for a full-time LATAM Customer Success Manager to become the primary point of contact for our existing clients. This is NOT a cold-calling position and it is not a basic administrative VA role. Your responsibility will be to make sure our clients feel informed, supported, and taken care of throughout their time with Signature Boost.

What You'll Be Responsible For:
- Communicating with clients through our CRM, text, email, and client app
- Responding to routine client questions in a professional and friendly manner
- Proactively checking in with clients each month
- Reviewing client accounts and making sure required credit monitoring remains active
- Following up with clients when documents, information, or action is needed
- Coordinating client status updates with our internal fulfillment team
- Explaining next steps to clients using our established processes and training
- Identifying issues that need to be escalated to management
- Keeping client records, notes, tasks, and conversations organized inside our CRM
- Collecting Google reviews and client testimonials from satisfied customers
- Identifying clients who may benefit from additional services such as credit-building products, tradelines, extensions, or ChexSystems/EWS assistance
- Helping us continuously improve the overall client experience

Who We're Looking For: We care more about your communication skills, organization, judgment, and ability to take ownership than previous credit-industry experience.

You should be:
- Fluent or highly proficient in written and spoken English
- Located in Latin America
- Available during U.S. Pacific business hours
- Extremely organized
- Comfortable communicating directly with U.S. customers
- Friendly, confident, patient, and professional
- Able to handle frustrated customers without becoming emotional or defensive
- Able to follow documented systems and SOPs
- Comfortable learning new software and CRM systems
- Detail-oriented when documenting conversations and client accounts
- Comfortable working independently without needing constant supervision
- Interested in a long-term position with a growing company

Experience with customer success, account management, customer support, CRM software, GoHighLevel, financial services, or credit-related businesses is helpful but NOT required. Spanish fluency is a plus.

Schedule: Full-time remote position. Our primary business hours are Monday-Friday, approximately 9:00 AM-5:00 PM Pacific Time. Applicants must be able to consistently overlap with U.S. Pacific business hours.

Compensation: Starting compensation: $1,500-$2,000 USD per month depending on experience and qualifications. There are additional performance-based earning opportunities for certain client upgrades, products, referrals, and additional services. This is intended to be a long-term position with opportunities for increased responsibility as the company grows.

What Success Looks Like: A successful person in this role will eventually be able to take ownership of the Signature Boost client experience. Clients should know who you are, receive consistent communication, get answers quickly, understand what is happening with their account, and feel that somebody is actively paying attention to their progress. Management should not have to constantly remind you who needs follow-up. You notice things before they become problems.

How To Apply

Please submit:
1. Your résumé or work history.
2. Your location and time zone.
3. Your desired monthly compensation in USD.
4. A description of your previous customer-service or customer-success experience.
5. The CRM/customer communication software you've previously used.
6. A link to a 60-90 second Loom video introducing yourself.

In your Loom video, please answer:
- Tell us briefly about yourself.
- Why do you think you would be good at managing customer relationships?
- A client has been working with our company for several months and sends you the message:

"I've been paying for this and I don't feel like anything is happening. What's going on?"

Tell us how you would respond to the client and what you would do next internally.
(Applications without the requested video will not be considered.)
Online TeachingCurriculum DesignEducational Content

Qualifications and requirements

  • Dominio avanzado del temario PAES M1: conocimiento exhaustivo de la estructura DEMRE, puntaje propio destacado en PAES/PSU y formación en Pedagogía en Matemática o en carreras de base cuantitativa o ingeniería en universidades chilenas.
  • Carisma y naturalidad frente a la cámara: comunicación cercana y fluida, buena dicción y capacidad de hablar el mismo lenguaje de los postulantes (17 a 20 años), sin el tono rígido de la sala de clases tradicional.
  • Experiencia en docencia online en vivo: manejo ágil de la dinámica de grupo, interacción constante con el chat y capacidad de mantener un ritmo activo y entretenido.
  • Claridad pedagógica: explicar paso a paso, anticipar las trampas y errores frecuentes de la prueba y simplificar conceptos para que los entienda incluso quien siente que «los números no son lo suyo».
  • Autonomía y responsabilidad: autogestión, puntualidad en los plazos de entrega y buena disposición para recibir y aplicar feedback.
  • Inglés básico/funcional (deseable, no excluyente): para sincronizaciones internas con el equipo de liderazgo. Todas las clases y contenidos son 100 % en español.

Job functions

Tu misión será lograr que los estudiantes chilenos le tomen el gusto a las matemáticas: hacer simple lo complejo y acompañarlos en cada paso, desde que nos descubren en redes sociales hasta el día de la prueba.
  1. De nuestro lado: todo el respaldo operativo — estrategia de pauta, presupuesto publicitario, marketing, edición y producción audiovisual completa.
  2. De tu lado: carisma, soltura frente a la cámara y una sólida excelencia metodológica.
  3. Proyección: a medida que el proyecto crezca, el rol evolucionará hacia Lead del área de Matemática y mentor/a de los futuros profesores que se sumen al equipoResponsabilidades
  • Docencia en vivo: dictar clases interactivas, talleres prácticos y clases abiertas con alto dinamismo, conectando con la audiencia y adaptando las explicaciones a postulantes con distintos niveles de preparación.
  • Brand face y presencia en medios: participar de forma constante en la grabación de contenidos audiovisuales cortos (reels, TikTok, creativos y cápsulas publicitarias), transmitiendo energía, cercanía y autoridad pedagógica.
  • Estructuración y diseño del curso: desarrollar y ordenar el programa completo de M1 alineado con los 4 ejes del temario oficial DEMRE, creando el calendario de sesiones, los materiales de apoyo y bancos de ejercicios actualizados.
  • Acompañamiento y confianza (etapa inicial): atender llamadas breves o enviar audios de orientación académica a postulantes y apoderados para resolver dudas sobre el método (sin tareas de venta). Esta labor es clave durante el lanzamiento; más adelante, con un equipo comercial dedicado, pasará íntegramente al área de ventas.
  • Compromiso y excelencia operativa: preparar y entregar con anticipación el material de cada clase, manteniendo una comunicación fluida y puntual con el equipo de gestión internacional.
  • Mejora continua con datos y feedback: revisar las evaluaciones y comentarios de los estudiantes tras cada clase para ajustar ritmo, ejemplos y metodología.

Conditions

  • Remuneración competitiva: superior a los preus tradicionales, con carga parcial en el prelanzamiento y aumento al asumir los cursos completos.
  • Cero burocracia: nosotros gestionamos la captación, ventas, tecnología y logística. Tu único foco es enseñar y conectar con los alumnos.
  • Marca personal: respaldo de un equipo de marketing y producción para posicionarte como el profesor de matemática referente de la PAES en Chile.
  • 100 % remoto (boleta de honorarios): dedicación y honorarios progresivos desde el prelanzamiento hasta el ciclo en vivo.
  • Liderazgo a futuro: proyección para dirigir el área académica de Matemática y formar a nuevos docentes en la fase de escalamiento.
Cómo postular (requisito obligatorio)
Junto con tu CV o perfil de LinkedIn, incluye el enlace a un video corto de autopresentación
(30 a 60 segundos) frente a cámara, contándonos quién eres y por qué te apasiona enseñar
matemática.
Las postulaciones sin video no avanzan a la siguiente etapa.
RecruitmentOnboardingApplicant Tracking System

Qualifications and requirements

Requirements
Three or more years recruiting experience, with at least one year in high volume hiring. Twenty or more placements per year, not five.
Direct experience hiring sales, SDR, or call center agents. If you have hired for a BPO or staffed US accounts, that is the strongest possible fit.
Fluent written and spoken English. You will be interviewing candidates in English and assessing their fluency, so yours has to be better than theirs.
Proven sourcing ability outside of job boards. Tell us the channels you actually use.
Comfortable running four to five interviews a day and holding a standard under pressure when a hiring manager wants to move faster.
Reliable internet, quiet workspace, and availability with meaningful overlap to US Eastern time.
Based in Latin America.
Nice to have
Experience recruiting for US companies or agencies.
Familiarity with ATS tools and building a hiring process from scratch.
Background in sales yourself before moving into recruiting.
Experience with contractor onboarding and international payment compliance.

Job functions

Sourcing
Review resumes and recorded video samples against our caller scorecard. You apply the standard, the founder sets it.
Run four to five live screens per day. English fluency, US account outbound experience, tenure history, schedule fit, home office and connectivity.
Coordinate final mock call interviews with the founder. Reference check every candidate who reaches offer stage.
Pipeline and bench
Maintain three pre-screened candidates warm at all times. This is the main deliverable, not just filling open seats.
Own time to fill against a 30 day target and report it weekly. Track conversion by source so we can cut channels that are not producing.
Offers and onboarding handoff
Extend offers within pre-approved compensation bands.
Collect signed contractor agreement, W-8BEN, and verified payment details before any start date. This is a hard gate with no exceptions.
Hand off to onboarding with a complete candidate record. Run 30 and 60 day check-ins and flag attrition risk early.
Offers and onboarding handoff
Extend offers within pre-approved compensation bands.
Collect signed contractor agreement, W-8BEN, and verified payment details before any start date. This is a hard gate with no exceptions.
Hand off to onboarding with a complete candidate record. Run 30 and 60 day check-ins and flag attrition risk early.

Desirable skills

Desirable skills
  • Experience recruiting for US companies or agencies, especially where you owned the relationship with the hiring manager directly
  • Background in sales or as an SDR before moving into recruiting. You will screen better if you have done the job
  • Experience building a hiring process from scratch rather than inheriting one
  • Familiarity with ATS tools, or comfort standing one up
  • Experience with international contractor onboarding, W-8BEN collection, and payment platforms like Wise or Deel
  • Experience hiring inside a BPO or staffing US-based accounts
  • Portuguese in addition to English and Spanish, if we open Brazil

Conditions


Conditions
  • $1,400 to $2,000 USD per month base, depending on experience and trial performance
  • Performance bonus of $300 USD per hire, paid at each hire's 60 day mark. Tiered above three hires per month
  • At target hiring volume, total monthly compensation lands between $2,600 and $3,200 USD
  • Quarterly bonus tied to average time to fill
  • Paid monthly via Wise or Deel
  • 90 day performance review with salary increase on the table
  • Full time exclusive engagement, not a side project
  • Fully remote, work from anywhere in Latin America
  • Required overlap with US Eastern time, 9am to 1pm EST minimum
  • Direct work with the founder, no layers in between
  • You own the recruiting function. You build the process, you are not handed one
  • Clear growth path to Head of Talent as the team scales
  • Paid five day trial at $300 USD before any offer, so you can evaluate us too
Video EditingAdobe Premiere Pro

Qualifications and requirements

Fluency in at least one major editing workflow (Adobe Premiere Pro, CapCut, or comparable). Fluent, near-native English is mandatory, with accurate captions and comfort presenting on a team call with no language barrier. AI-capable: able to build full AI-generated video ads using tools and models such as Veo 3, Kling 3.0, Seedance, and similar platforms. Comfortable creating voiceovers with tools like ElevenLabs and stitching AI scenes, voiceover, subtitles, graphics, and music into one harmonious edit. Solid understanding of direct-response video: hooks, pacing, captions, and CTAs. E-commerce, direct-to-consumer, or digital product editing experience strongly preferred (not generic dropshipping content). A clear, organized portfolio with playable video links is required.

Job functions

Edit and assemble performance-focused video ads for paid social and other growth channels. Work from creative briefs, scripts, raw footage, AI-generated clips, voiceovers, and brand guidelines. Build strong openings and hooks, maintain pacing, and add accurate captions with no grammar mistakes. Select appropriate music and sound effects, incorporate B-roll and AI-generated footage, and ensure every asset feels cohesive from hook to CTA. Maintain a clean editing workflow, organize files clearly, meet deadlines, and communicate proactively when something is unclear or blocked.

Desirable skills

Familiarity with project management tools like Notion, Monday.com, or ClickUp, and Slack for day-to-day communication. Understanding of performance creative testing, Meta ads, TikTok-style pacing, UGC structures, and AI-assisted creative iteration will help you stand out.

Graphic DesignVideo EditingContent Strategy

Qualifications

  • 3+ years of content production experience with proven results driving views and engagement
  • Portfolio demonstrating ability to create high-performing social media content (video clips, reels, shorts)
  • Strong video editing skills (Premiere Pro, Final Cut Pro, CapCut, or similar)
  • Understanding of platform-specific content optimization (YouTube, LinkedIn, Instagram, TikTok, Twitter)
  • Experience repurposing long-form content into multiple short-form assets
  • Graphic design skills for thumbnails, quote graphics, and promotional materials
  • Data-driven approach to content performance and willingness to iterate based on metrics
  • Creative storytelling ability with understanding of hooks, pacing, and audience retention

Responsibilities

  • Content Production: Take raw materials (podcast recordings, event footage, interviews, presentations) and produce polished, engaging content optimized for each platform.
  • Multi-Format Repurposing: Transform single pieces of content into multiple assets—video clips, reels, quote graphics, audiograms, blog snippets, social posts, and ad creatives.
  • Engagement Optimization: Create content designed for maximum views using proven techniques—strong hooks, compelling thumbnails, platform-specific formats, and strategic editing.
  • Video Editing: Edit podcast episodes, event recordings, and interviews into shareable clips with captions, graphics, b-roll, and engaging cuts.
  • Graphic Design: Create eye-catching thumbnails, quote graphics, promotional images, and social media assets that drive clicks.
  • Platform Strategy: Understand what works on each platform (YouTube vs. LinkedIn vs. Instagram) and adapt content accordingly.
  • Performance Tracking: Monitor content performance metrics (views, engagement, watch time, click-through rates) and identify what's working.
  • Experimentation: Continuously test new content formats, editing styles, thumbnail approaches, and distribution strategies to improve results.
  • Content Calendar Management: Coordinate content production schedule to align with events, campaigns, and partnership initiatives.
  • Trend Awareness: Stay current on content trends, viral formats, and platform algorithm changes to keep content relevant and discoverable.
  • Quality Control: Ensure all content meets brand standards while remaining authentic and engaging.
  • Collaboration: Work with partnerships, events, and marketing teams to understand content goals and align production with company objectives.
  • Asset Library Management: Organize and maintain content library for easy repurposing and reference.
  • Reporting: Provide regular reports on content performance, top-performing assets, and insights for future production.

Compensation

$700 - $1200 a month

Infrastructure as CodePythonLarge Language Models

Experience and Skills

  • 5+ years of professional software engineering experience, with a proven track record of deploying and maintaining production systems.
  • C1 English level or higher.
  • Strong programming expertise in Python.
  • Hands-on experience building AI agents or agentic workflows using LangChain, LangGraph, Strands Agents, LlamaIndex, CrewAI, or custom frameworks.
  • Experience with MCP servers, tool-calling, function-calling, or similar patterns where AI agents interact with APIs, tools, or backend services.
  • Hands-on experience developing with LLMs using platforms such as OpenAI, Anthropic, AWS Bedrock, or similar providers.
  • Proven experience designing and building robust APIs and microservices using FastAPI or an equivalent framework.
  • Experience deploying, operating, and monitoring services within AWS cloud environments.
  • Experience with Docker, CI/CD pipelines, GitHub Actions, and Terraform or similar infrastructure-as-code tools.
  • Strong understanding of production reliability, observability, debugging, scalability, and technical debt reduction.

Skills

  • Python
  • LLM
  • OpenAI
  • Anthropic
  • AWS Bedrock
  • FastAPI
  • REST APIs
  • AWS

Key Responsibilities

  • Design, develop, and optimize AI-driven systems, agentic workflows, and tool-using agents.
  • Build and maintain MCP servers or similar tool-calling layers that allow AI agents to interact safely with backend APIs, internal services, and business logic.
  • Develop robust AI services and APIs using Python, FastAPI, and modern backend engineering practices.
  • Deploy, operate, monitor, and scale AI applications in AWS environments using services such as Bedrock, Agent Core, Guardrails, Comprehend, ECS, ECR, Lambda, CloudWatch, and related infrastructure.
  • Implement security, validation, guardrails, and prompt-injection mitigation strategies for LLM applications handling sensitive data.
  • Debug, refactor, and stabilize existing production AI and LLM services to improve reliability, maintainability, latency, and performance.
  • Collaborate with frontend teams working with React, TypeScript, Vite, or similar technologies to integrate AI agents with user-facing product experiences.
  • Use CI/CD practices, GitHub Actions, Docker, Terraform, and infrastructure-as-code workflows to support reliable delivery.
  • Communicate technical trade-offs, project progress, risks, and architectural decisions clearly to technical and non-technical stakeholders.

Nice to Have

  • LangGraph
  • LlamaIndex
  • LangChain
  • Docker
  • AWS ECS
  • Gunicorn
  • CloudWatch
  • Vector Databases
  • Semantic Search
  • AWS Textract
  • pytest
  • CI/CD

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Machine LearningPythonCloud Platforms

What We're Looking For

Required:

  • 3+ years of hands-on Data Science or ML Engineering experience
  • Demonstrated experience building GenAI applications — RAG systems, LLM-powered pipelines, or agent frameworks in production or near-production settings
  • Strong proficiency in classical ML: regression, classification, and model evaluation
  • Proficiency in Python; experience with cloud platforms (AWS, GCP, or Azure)
  • Fluent in both English and Spanish — you'll work with US clients and collaborate across our LATAM offices.
  • Strong communication skills; comfortable presenting to non-technical stakeholders

What You'll Do


  • Design and build agentic AI systems — multi-step reasoning pipelines, tool-use agents, and orchestration frameworks (LangChain, LlamaIndex, or equivalent)
  • Develop and deploy RAG architectures over structured and unstructured data sources, including document retrieval, embedding strategies, and LLM integration
  • Build and productionize regression, classification, forecasting, and clustering models to drive measurable business outcomes
  • Evaluate and improve LLM-based systems using structured evaluation frameworks (LLM-as-a-judge, retrieval quality, hallucination detection)
  • Translate ambiguous client challenges into concrete analytical hypotheses and solution designs
  • Build scalable data pipelines for ingestion, transformation, and model serving
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders

Preferred:


  • Experience with computer vision (image classification, object detection, or multimodal models)
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or equivalent)
  • Consulting or client-facing experience
  • Knowledge of MLOps practices: model monitoring, versioning, CI/CD for ML

Why Join Us


  • Work on high-impact, real-world AI problems across industries from day one
  • Be part of a founding remote team with direct access to US leadership
  • Collaborative, technically rigorous culture with a strong knowledge-sharing ethos
PythonAWSBackend Development

Experience and Skills

  • Mid-level experience with 3 or more years of professional software engineering experience
  • Strong proficiency in Python development, including writing clean, maintainable, and testable code
  • Solid experience working with AWS cloud services and infrastructure
  • Exposure to LangChain and/or LangGraph is preferred

Skills

  • Python
  • AWS
  • Backend Development
  • API Development

Key Responsibilities

  • Develop, test, and deploy robust backend services and APIs using Python.
  • Manage and configure AWS cloud resources to support application deployment and scalability.
  • Collaborate with product managers and designers to translate product requirements into functional technical solutions.
  • Participate in code reviews, maintain high code quality standards, and contribute to team technical discussions.

Nice to Have

  • LangGraph
  • Artificial Intelligence
  • LLMs
  • Agentic AI

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

.NetC#Entity Framework Core

Experience and Skills

  • 8+ years of backend development experience, with recent hands-on expertise in .NET 8+ and modern hosting models.
  • C1 English level or higher.
  • Proven experience leading at least two complete legacy migration cycles in regulated industries such as fintech, taxes, or healthcare.
  • Deep understanding of .NET fundamentals, including .NET Standard compatibility, GC behavior, async patterns, and memory allocation minimization.
  • Advanced database and ORM experience, specifically with EF Core, Dapper, SQL Server or MySQL, and high-volume bulk operations.
  • Strong background in distributed systems architecture, including CQRS, event-driven messaging (SQS, Azure Service Bus, or RabbitMQ), and Redis caching.
  • Experience with migration patterns such as Strangler Fig, Golden Master testing, and parallel runs.
  • Daily experience using Claude Code with structured workflows, token management strategies, and Model Context Protocol (MCP) architectures.

Skills

  • .NET 8
  • C#
  • EF Core
  • Dapper
  • SQL Server
  • MySQL
  • CQRS
  • Redis
  • AWS SQS
  • Azure Service Bus
  • Claude Code
  • MCP

Key Responsibilities

  • Lead the incremental migration of legacy backend systems using the Strangler Fig pattern, feature flags, and parallel runs to ensure zero client-visible incidents.
  • Design and implement production-grade REST APIs in .NET 8+ using Clean Architecture, DDD, and CQRS principles.
  • Expose backend endpoints as secure and reliable MCP tools for AI agents to consume business logic.
  • Own the data access layer, utilizing EF Core for domain operations and Dapper for high-performance read paths.
  • Design caching strategies, messaging patterns, and asynchronous processing to handle seasonal traffic spikes.
  • Implement idempotency, observability, circuit breakers, and other resiliency patterns from day one.
  • Proactively communicate migration scope, technical risks, and trade-offs to non-technical stakeholders.
  • Collaborate daily with AI engineering teams to align on backend and AI integration decisions.

Nice to Have

  • LangChain
  • RAG
  • Datadog
  • OpenTelemetry
  • Terraform
  • Docker
  • Kubernetes
  • AWS

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK).
  • Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI, Gemini Enterprise), Anthropic (Claude, Managed Agents, MCP), or OpenAI (Responses API, AgentKit) — and working experience with one cloud platform (GCP, Azure, or AWS).
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
A certification on at least one major AI platform or cloud is a strong differentiator at application. If you do not hold one yet, obtaining one within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

  • Examples: Claude Certified Developer – Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer Associate, or equivalent AWS credentials.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.

Key Capabilities

A strong candidate will bring:

  • Breadth across the full stack, with depth in at least one AI platform
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


A Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps, agents automating workflows, and the pipelines supporting them. You own components end to end: React front end, Python/Node service, RAG pipeline, and evals.

This role combines breadth and depth: taking a feature from front end to cloud deployment, plus strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You'll have direct client exposure and support junior engineers' growth.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor engineers; contribute to accelerators and standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK — ideally with experience taking at least one solution to production on GCP.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).
  • Strong working experience with GCP; Azure or AWS is a plus.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
A Google Cloud certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

  • Google Cloud Professional Machine Learning Engineer (preferred), covering Vertex AI, generative AI, and production ML.
  • Google Cloud Generative AI Leader is valued as a foundation, complemented by hands-on Vertex AI / Gemini Enterprise delivery experience.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


A Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps over enterprise data, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, and evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on Gemini Enterprise and the Google AI Stack

  • Build agents with Gemini models, Vertex AI, ADK, and Agent Engine.
  • Configure Gemini Enterprise: Agent Designer, the Inbox, and agent sandboxes.
  • Connect Gemini Enterprise to client systems via connectors, with proper permissions.
  • Build grounded apps with Vertex AI Search, RAG Engine, Search grounding, and BigQuery.
  • Implement interoperability via A2A and MCP.
  • Track Google's releases and translate new capabilities into client value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, and quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, and infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort with partners.
  • Mentor engineers; contribute to accelerators and engineering standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the OpenAI ecosystem: Responses API or Agents SDK, function calling, and prompt engineering for GPT and reasoning models — ideally with experience taking at least one solution to production (OpenAI API or Azure OpenAI).
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (OpenAI Agents SDK, LangGraph/LangChain).
  • Working experience with at least one cloud platform; Azure experience is a strong plus for Azure OpenAI delivery.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
Certifications are a strong differentiator at application. OpenAI's proctored certification program is still rolling out publicly, so where a formal OpenAI credential is not yet available to you, we expect you to obtain the closest available credential within your first 2 months in the role — Artefact sponsors the exam and gives you time to prepare.

  • OpenAI Academy certifications and badges, as they become generally available.
  • Microsoft Certified: Azure AI Engineer Associate is highly valued for Azure OpenAI delivery.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Experience with realtime/voice APIs, multimodal applications, or fine-tuning at scale.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in the OpenAI platform, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


Artefact is looking for a Senior Deployed AI Engineer specialized in the OpenAI ecosystem: embedded with clients, taking AI products from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps, agents automating workflows, and pipelines supporting them. You own components end to end: front end, service, data, deployment, evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on the OpenAI Platform

  • Build agentic systems on OpenAI: Responses API, Conversations API, Agents SDK, incl. sandboxed execution for long-running tasks.
  • Build and optimize enterprise agents with AgentKit and ChatGPT Enterprise (custom GPTs, connectors, governance).
  • Apply function calling, structured outputs, model selection across GPT/reasoning families per trade-off.
  • Deliver on Azure OpenAI where required: security, networking, quota.
  • Use OpenAI's eval and fine-tuning tooling to improve quality.
  • Track OpenAI's releases and translate capabilities into client value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor junior engineers; contribute to accelerators and standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the Anthropic ecosystem: Claude API, Claude Agent SDK or Claude Code, and MCP — ideally with experience taking at least one solution to production.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Claude Agent SDK, LangGraph/LangChain).
  • Working experience with at least one cloud platform (GCP, AWS, or Azure); running Claude via Vertex AI or Amazon Bedrock is a plus.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications

An Anthropic certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — as a member of our team, Artefact will sponsor your exam and give you time to prepare.

  • Claude Certified Developer – Foundations (Anthropic Certification Program), or a higher-level Claude Certified Architect credential.
  • Anthropic Academy completion certificates (Claude API, MCP, Claude Code) are valued as supporting evidence.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Contributions to the MCP ecosystem, published MCP servers, or open-source agentic tooling.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in the Anthropic platform, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


Our team is looking for Senior Deployed AI Engineers specialized in the Anthropic (Claude) ecosystem: embedded with clients, taking AI products from idea to production.

In this role, you'll design and build the interfaces, services, and agentic systems at the heart of our work: conversational apps, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on the Anthropic Platform

  • Build agentic systems with the Claude API and Agent SDK: tool use, extended thinking, prompt caching, citations.
  • Deploy cloud-hosted agents with Claude Managed Agents: sandboxed execution, memory, checkpointing, orchestration, tracing.
  • Build MCP servers/clients connecting Claude to enterprise systems.
  • Make Claude Code core to delivery — skills, subagents, hooks.
  • Deploy Claude via the API, Vertex AI, or Bedrock, choosing Opus/Sonnet/Haiku per trade-off.
  • Track Anthropic's releases and translate capabilities into value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor engineers; contribute to accelerators and standards.

Preferred Experience


Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo). Experience with Terraform or CI/CD pipelines. Contributions to the MCP ecosystem, published MCP servers, or open-source agentic tooling.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonAsynchronous ProgrammingData Modeling

Experience and Skills

  • Mid-level experience with 4+ years of professional backend engineering experience.
  • C1 English level or higher.
  • Strong proficiency in Python or a comparable modern backend language.
  • Hands-on experience designing, developing, and maintaining REST APIs and service-oriented architectures.
  • Working knowledge of asynchronous programming, concurrency, and background job processing.
  • Solid experience working with relational databases and data modeling.
  • Familiarity with message queues, worker systems, or event-driven processing.
  • Demonstrated experience writing comprehensive unit and integration tests.
  • Hands-on experience with Unit Testing, Integration Testing, OpenAI, Anthropic, LLM, AWS, Docker, PostgreSQL, Redis.

Skills

  • Python
  • REST APIs
  • Asynchronous Programming
  • Data Modeling
  • Message Queues
  • Unit Testing
  • Integration Testing
  • Solid
  • OpenAI
  • Anthropic
  • LLM
  • AWS
  • Docker
  • PostgreSQL
  • Redis

Key Responsibilities

  • Implement and maintain backend services, REST APIs, and document-processing pipelines under senior engineering guidance.
  • Build concurrent and asynchronous workflows to handle multi-page documents and long-running background tasks.
  • Integrate LLM-powered summarization, document analysis, and structured outputs into backend workflows following established patterns.
  • Develop and support background worker processes with robust error handling, retries, timeouts, and failure recovery.
  • Design and maintain data models tracking relationships between source documents, extracted data, and downstream entities.
  • Participate actively in code reviews, testing, debugging, and production troubleshooting.

Nice to Have

  • PostgreSQL
  • Redis
  • Docker
  • AWS
  • AWS ECS
  • OpenAI API
  • Anthropic API
  • OCR

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

AI AgentsDistributed SystemsSoftware Architecture

Experience and Skills

  • 5+ years of software engineering experience, with 2+ years of deep experience working with agentic workflows.
  • C1 English level or higher.
  • Proven hands-on experience designing and building multi-agent systems.
  • Strong fundamentals in distributed systems and software architecture.
  • Demonstrated track record of delivering ambitious technical work beyond basic demos and tutorials.
Skills
  • AI Agents
  • Multi-Agent Systems
  • Distributed Systems
  • Software Architecture
  • LLMs

Key Responsibilities

  • Build and optimize the core reasoning and execution layers of the autonomous agent platform.
  • Design, develop, and orchestrate complex, parallel multi-agent architectures.
  • Take full ownership of critical technical and architectural decisions in an early-stage, zero-to-one environment.
  • Collaborate directly with early customers and design partners to refine product capabilities and integrate feedback.

Nice to Have

  • Python
  • LangChain
  • LlamaIndex
  • Vector Databases

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
SpanishProduct OwnershipScrum

Experience and Skills

  • Mid-level seniority with 3+ years of verifiable experience as a Product Owner or in an equivalent technical delivery coordination role.
  • Demonstrated experience managing backlogs, sprint planning, and daily ceremonies within an agile environment.
  • Hands-on experience using ClickUp or an equivalent modern project tracking and capacity management tool.
  • Demonstrated experience coordinating cross-functional technical teams across multiple parallel workstreams.
  • Native or bilingual Spanish proficiency with structured, clear written and verbal communication skills.
  • Hands-on experience with Product Ownership, Agile Methodologies, Scrum, Backlog Management.

Skills

  • Product Ownership
  • Agile Methodologies
  • Scrum
  • Backlog Management
  • Sprint Planning
  • ClickUp

Key Responsibilities

  • Maintain and update comprehensive project documentation, timelines, and roadmaps across three active initiatives.
  • Facilitate daily standups and agile ceremonies, proactively identifying delivery risks and removing blockers.
  • Serve as the operational bridge connecting remote software development teams with technical infrastructure counterparts.
  • Track and organize deliverables, team capacity, and task progress using ClickUp.
  • Support the discovery, intake, and assessment of new digital and AI opportunities.

Nice to Have

  • Artificial Intelligence
  • AI Agents

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonMachine Learning

Experience and Skills

  • 6+ years of experience in software engineering, with a strong focus on shipping production-grade machine learning and AI systems.
  • C1 English level or higher.
  • Deep proficiency in Python, including advanced data structures and algorithms.
  • Hands-on experience orchestrating coding agents (such as Claude Code or Codex) within real engineering workflows.
  • Strong working knowledge of Model Context Protocol (MCP) mechanics, tool calls, and agent-to-agent (A2A) protocols.
  • Experience building and maintaining LLM evaluation pipelines, including golden datasets, LLM-as-judge frameworks, and recall/precision tracking.
  • Familiarity with open-weight model families (such as Qwen, Llama, or Mistral) and Mixture-of-Experts (MoE) architectures.
  • Experience with major model-hosting and inference platforms, including AWS Bedrock, Vertex AI, Azure OpenAI, Cerebras, or Base10.
  • Hands-on experience with Mixture of Experts, low latency.

Skills

  • Python
  • LLM
  • Model Context Protocol
  • Claude Code
  • Codex
  • Machine Learning
  • AWS Bedrock
  • Vertex AI
  • Azure OpenAI
  • Qwen
  • Llama
  • Mistral
  • Mixture of Experts
  • Claude
  • AWS
  • Azure
  • OpenAI
  • low latency

Key Responsibilities

  • Design and orchestrate multi-agent workflows, managing planning, implementation, and independent validation agents.
  • Architect MCP integrations and determine optimal modularization strategies for async, heavy-lifting workloads.
  • Establish and maintain spec-driven (SDD) and eval-driven (EDD) development workflows, including written constraint files to prevent agent drift.
  • Build robust LLM evaluation pipelines using LLM-as-judge setups, confusion matrices, and recall/precision tracking.
  • Evaluate, fine-tune, and deploy open-weight models across various hosting and inference providers.
  • Contribute to large-scale document intelligence pipelines, focusing on OCR, classification, and named entity recognition (NER).
  • Collaborate with technical leadership to translate complex regulatory and business logic into reliable agent workflows.

Nice to Have

  • OCR
  • OpenCV
  • AWS Textract
  • Amazon SageMaker
  • Spanish
  • Portuguese
  • Japanese

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonMachine LearningSQL

Experience and Skills

  • 6+ years of professional experience in AI/ML Engineering, Data Engineering, Data Science, or a closely related field.
  • C1 English level or higher.
  • Hands-on experience building or integrating LLM applications, particularly RAG and/or MCP.
  • Strong hands-on experience with AWS and cloud-based data architectures
  • Experience with traditional machine learning and predictive modeling.
  • Advanced SQL skills and experience working with relational databases.
  • Experience working with PII, sensitive, or regulated data and implementing appropriate data protection practices.
  • Strong understanding of how data is generated, collected, transformed, stored, and consumed within business environments.
  • Proven experience designing and implementing end-to-end data pipelines.
Skills
  • Python
  • R
  • SQL
  • Machine Learning
  • Time Series Forecasting
  • GCP
  • Azure
  • AWS
  • MLOps
  • Statistics
  • Data Pipelines

Key Responsibilities

  • Business & Data Discovery: Partner with business and technical stakeholders to understand processes, KPIs, data sources, and translate business needs into technical solutions.
  • AI & LLM: Build and integrate AI solutions using LLMs, RAG, MCP, and internal enterprise data.
  • Machine Learning & Analytics: Develop and support predictive models, forecasting, and other ML use cases as the data platform evolves.
  • Data Governance & Communication: Ensure data quality, security, and compliance while communicating insights and technical concepts clearly to non-technical stakeholders.

Nice to Have

  • Power BI
  • GIS
  • Geospatial Analytics
  • Survival Analysis
  • Customer Segmentation

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
PostgreSQLSupabaseJavaScript

Qualifications and requirements

  • 3+ years building full-stack web applications
  • Solid SQL and PostgreSQL; hands-on experience with Supabase (auth, RLS, edge functions) or an equivalent BaaS
  • Strong with REST APIs, JSON, HTTP, and webhooks — you read API docs and integrate without hand-holding
  • JavaScript/TypeScript proficiency (Node.js); Python is a plus
  • Comfortable with formal/boolean logic and state management — the same thinking that makes an AI agent behave correctly
  • Advanced English (C1+), spoken and written — you will read subtle US customer requirements and review recorded calls daily
  • Meticulous, autonomous, and communicative in a remote team
  • Located in Colombia and available during US Central business hours

Job functions

  • Build and maintain the platform behind our AI voice agents: Supabase/PostgreSQL backend, REST APIs, and webhooks
  • Design and ship automations in Pipedream that connect agents to customer scheduling tools, CRMs, and email/SMS
  • Configure and tune AI voice agents for new customers: prompts, conversation logic, escalation rules, edge cases
  • Convert customer intake notes and real call recordings into correct agent behavior
  • Analyze call transcripts and system logs, find failures, and fix them at the root
  • Contribute to low-code/BPM work on the Appian platform for enterprise consulting projects
  • Maintain reusable configuration templates and technical documentation by industry
  • Join English-language onboarding and technical calls with US customers

Desirable skills

  • Pipedream, n8n, Make, or Zapier workflow automation
  • Appian or another low-code / BPM platform (Power Platform, OutSystems, Mendix)
  • LLM prompt engineering, voice AI, or chatbot platforms
  • Twilio, Telnyx, LiveKit, or other telephony/voice APIs
  • Cloudflare, Stripe, SendGrid
  • Experience with dental, legal, or home-services customers

Benefits

  • 3,000 USD salary paid monthly, with a compensation review at 6 months
  • Full-time Colombian employment contract through an Employer of Record — statutory benefits included, not a contractor arrangement
  • 100% remote, long-term position
  • Direct work with the founder; your code and configurations ship to paying customers within days
  • Hands-on experience across production voice AI, Supabase, workflow automation, and enterprise low-code
PythonAI AgentsLarge Language Models

Experience and Skills

  • 5+ years of professional software engineering experience, with a proven track record of deploying and maintaining production systems.
  • C1 English level or higher.
  • Strong programming expertise in Python.
  • Hands-on experience building AI agents or agentic workflows using LangChain, LangGraph, Strands Agents, LlamaIndex, CrewAI, or custom frameworks.
  • Experience with MCP servers, tool-calling, function-calling, or similar patterns where AI agents interact with APIs, tools, or backend services.
  • Hands-on experience developing with LLMs using platforms such as OpenAI, Anthropic, AWS Bedrock, or similar providers.
  • Proven experience designing and building robust APIs and microservices using FastAPI or an equivalent framework.
  • Experience deploying, operating, and monitoring services within AWS cloud environments.
  • Experience with Docker, CI/CD pipelines, GitHub Actions, and Terraform or similar infrastructure-as-code tools.
  • Strong understanding of production reliability, observability, debugging, scalability, and technical debt reduction.
Skills
  • Python
  • LLM
  • OpenAI
  • Anthropic
  • AWS Bedrock
  • FastAPI
  • REST APIs
  • AWS

Key Responsibilities

  • Design, develop, and optimize AI-driven systems, agentic workflows, and tool-using agents.
  • Build and maintain MCP servers or similar tool-calling layers that allow AI agents to interact safely with backend APIs, internal services, and business logic.
  • Develop robust AI services and APIs using Python, FastAPI, and modern backend engineering practices.
  • Deploy, operate, monitor, and scale AI applications in AWS environments using services such as Bedrock, Agent Core, Guardrails, Comprehend, ECS, ECR, Lambda, CloudWatch, and related infrastructure.
  • Implement security, validation, guardrails, and prompt-injection mitigation strategies for LLM applications handling sensitive data.
  • Debug, refactor, and stabilize existing production AI and LLM services to improve reliability, maintainability, latency, and performance.
  • Collaborate with frontend teams working with React, TypeScript, Vite, or similar technologies to integrate AI agents with user-facing product experiences.
  • Use CI/CD practices, GitHub Actions, Docker, Terraform, and infrastructure-as-code workflows to support reliable delivery.
  • Communicate technical trade-offs, project progress, risks, and architectural decisions clearly to technical and non-technical stakeholders.

Nice to Have

  • LangGraph
  • LlamaIndex
  • LangChain
  • Docker
  • AWS ECS
  • Gunicorn
  • CloudWatch
  • Vector Databases
  • Semantic Search
  • AWS Textract
  • pytest
  • CI/CD

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
Workflow AutomationAI AgentsSystems Thinking

Experience and Skills

  • Senior-level professional with 3-5 years of relevant experience in AI operations, automation, engineering, research, or a related field.
  • C1 English level or higher
  • Demonstrated experience building AI systems and AI agents.
  • Experience designing workflow automation and optimizing processes.
  • Strong systems thinking and bottleneck analysis skills.
  • Experience with client delivery, SLA management, and client communication.
  • Ability to support account growth, apply commercial judgment, prioritize using KPIs, and measure impact.
  • Hands-on experience with AI system building, Client delivery and SLA management, Account growth and commercial judgment, KPI-based prioritization and impact measurement, Client communication in English, KPI-Based Prioritization, Impact Measurement, Process Optimization.

Skills

  • AI system building
  • Workflow automation
  • Systems thinking and bottleneck analysis
  • Client delivery and SLA management
  • Account growth and commercial judgment
  • KPI-based prioritization and impact measurement
  • Client communication in English
  • Systems Thinking
  • Bottleneck Analysis
  • Client Delivery
  • SLA Management
  • Account Growth
  • Commercial Judgment
  • KPI-Based Prioritization
  • Impact Measurement
  • Client Communication
  • AI Agents
  • Process Optimization

Key Responsibilities

  • Build, deploy, and improve AI systems, agents, and workflow automations that address operational needs.
  • Analyze processes, identify bottlenecks, and implement improvements that increase efficiency, quality, or throughput.
  • Own client delivery, service-level expectations, issue resolution, and ongoing communication with US clients.
  • Track KPIs, evaluate impact, and prioritize initiatives based on measurable business outcomes.
  • Identify account growth opportunities and contribute to commercially sound recommendations.
  • Establish feedback loops and continuously iterate on AI systems and operational processes.

Nice to Have

  • Custom agent skills and harnesses
  • Agent orchestration
  • MCP/API integrations
  • Agent context and memory design
  • AI evaluations and feedback loops
  • Custom Agent Skills
  • Agent Harnesses
  • MCP
  • API Integrations
  • Agent Context Design
  • Agent Memory Design
  • AI Evaluations
  • Feedback Loops

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

SQL ServerPostgreSQLOracle

Requerimientos del cargo

  • 5+ years as a DBA or Database Engineer, with strong SQL Server production experience.
  • Hands-on experience building LLM or agent-based automation, beyond using ChatGPT (e.g. agents with custom tools, RAG or MCP integrations).
  • Cloud databases on AWS and/or Azure.
  • Strong Python/scripting skills.
  • Solid performance troubleshooting on live systems: you check blocking and active sessions first, then execution plans, then what changed.
  • C1 English.

Funciones del cargo

  • Operate and optimize SQL Server, PostgreSQL, Oracle and Azure SQL environments on AWS and Azure: performance troubleshooting, backups, HA/DR, Always On and replication.
  • Run daily database work through AI tools and MCP connections from the command line, replacing manual processes.
  • Design, build and deploy autonomous Python agents that automate DBA workflows end-to-end, with built-in safety controls and human oversight.
  • Respond to incidents and support migrations.

Opcionales

  • PostgreSQL or Oracle on RDS, Azure SQL DB, MongoDB.
  • Data engineering background (streaming, high-volume ingestion, Airflow).

Condiciones

  • Fully remote, with flexibility to work from anywhere in South America, Central America or Mexico.
  • Full-time, long-term contract through Niuro.
  • One dedicated client team, with a real, funded path into agentic AI engineering.
Retrieval-Augmented GenerationLarge Language ModelsPrompt Engineering

Requerimientos del cargo

  • 4+ years in AI/ML-focused roles delivering software products to production.
  • Hands-on experience with LLMs (OpenAI, Claude, Mistral or open-source alternatives).
  • Experience with AI agent frameworks and/or agentic architectures.
  • Strong knowledge of prompt engineering, embeddings and vector databases.
  • Experience designing and implementing RAG architectures.
  • Experience testing and evaluating AI systems and LLM-powered applications.
  • Strong Python skills and experience building APIs with FastAPI, Django or similar frameworks.
  • Production experience with at least one major cloud platform (AWS, GCP or Azure).
  • Experience with Docker, Kubernetes and Terraform.
  • Solid software engineering fundamentals: testing, code reviews, Git, modular design and maintainable code.
  • Experience deploying, monitoring and maintaining AI systems in production.
  • Hands-on experience with LangChain and Transformers.
  • Ability to work autonomously and communicate effectively with both technical and non-technical stakeholders.
  • Professional English.

Funciones del cargo

You'll join an AI & Data team as a senior engineer, working independently while collaborating closely with engineering and product teams. You'll design and implement LLM-based solutions such as RAG systems, AI agents, copilots and other generative AI applications. You'll fine-tune, evaluate and deploy both proprietary and open-source foundation models, and build scalable APIs and services that integrate AI into applications. You'll own the full lifecycle of AI features, from experimentation and prototyping through deployment and monitoring. You'll work with DevOps on CI/CD and infrastructure as code, and implement observability, error tracking and performance monitoring for AI systems. You'll also contribute to AI architecture discussions, share knowledge and mentor other engineers, and look for new opportunities to bring AI into products. Success means going beyond prototypes: reliable, observable AI features running in production and delivering real business value.

Opcionales

  • MLOps practices and model deployment workflows.
  • AI evaluation and testing tools such as Promptfoo, Giskard or similar.
  • Experience with multi-agent systems.
  • Experience identifying and implementing AI use cases within digital products.

Condiciones

  • 00% remote position for candidates based in Latin America (Brazil, Argentina, Uruguay and Colombia preferred).
  • Full-time, direct hire with the client company.
  • Flexible working schedule.
  • Continuous learning and professional development opportunities.
  • Access to modern AI technologies and development tools.
  • Collaboration with experienced professionals across different technical disciplines.
  • Challenging AI projects and production-grade solutions.
  • Selection process: HR Interview → Technical Challenge → Technical Interview → Offer.
PythonSQLDatabricks

Description

We’re looking for a senior-minded Nearshore engineer who can turn SAS-based logic into robust, governed Databricks pipelines using Python, SQL, and modern CI/CD practices—while maintaining strict delivery discipline.

Required experience

  • 4+ years of professional data or software engineering experience.
  • Strong Python and SQL skills.
  • Hands-on Databricks experience with Unity Catalog, Workflows, and Databricks Asset Bundles.
  • Proficiency with GitLab CI/CD (pipelines, merge request workflows, and automated testing) and disciplined Git branching and code reviews.
  • Clear written and spoken English for client-facing collaboration.
  • Demonstrated ownership: scoping work, delivering outcomes, and proactively flagging risks without being prompted.

Focus areas

  • Pipeline reliability, validation, and delivery of converted code.
  • Parity checks between SAS and Databricks outputs.
  • Deployment and governance using DABs + GitLab CI/CD + Unity Catalog.

Additional experience

  • Spark and Delta Lake performance tuning.
  • Data validation and reconciliation experience.
  • Infrastructure-as-code or DAB-based deployment experience.
  • SAS reading ability and exposure to healthcare data (plus experience with Azure) are valued.

How we work: We value clarity, accountability, and continuous improvement. We’ll expect you to communicate trade-offs, confirm assumptions early, and build trust through predictable delivery, thoughtful reviews, and transparent risk management.

Functions

We’ll rely on you to drive the end-to-end conversion delivery from SAS inventories to validated Python/SQL outputs on Databricks, with a strong focus on pipeline reliability and data validation.

  • Pipeline engineering: Build and run pipelines that process SAS inventories and produce converted outputs.
  • Quality and parity validation: Validate converted code for parity against SAS outputs (e.g., row counts, checksums, schema, and data types).
  • Deployment ownership: Own deployments through Databricks Asset Bundles (DABs) and GitLab CI/CD, ensuring repeatable releases.
  • Databricks governance: Manage Unity Catalog objects, permissions, and promotion across environments.
  • Operational excellence: Troubleshoot job failures and performance issues, and take preventive actions to improve pipeline stability.
  • Performance tuning: Apply tuning techniques for Apache Spark and Delta Lake to meet reliability and execution-time expectations.
  • Data reconciliation: Use data validation and reconciliation practices to ensure correctness and consistency.
  • Infrastructure-as-code mindset: Implement DAB-based deployment patterns and support automated, testable delivery workflows.
  • Client collaboration: Communicate progress, risks, and technical decisions clearly with client and partner stakeholders.

Desirable


  • Experience converting SAS workflows to Python/SQL in production environments.
  • Healthcare data exposure and familiarity with typical data quality and privacy expectations.
  • Azure exposure and understanding of how cloud services fit into end-to-end delivery and operations.
  • Deep experience optimizing Spark jobs (partitioning, caching strategies, skew handling) and Delta Lake (file sizing, compaction patterns).

Benefits


  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
Technical SEOStructured DataDigital Analytics

What We're Looking For

Core Skills
  • 4+ years in SEO with measurable wins you can walk us through
  • Strong technical SEO fundamentals: site architecture, indexing, structured data, Core Web Vitals
  • Experience with programmatic SEO or content at scale
  • Real AI-search work you can show us: content that earned citations, experiments you ran, visibility you moved
  • Fluent with the standard stack: Semrush or Ahrefs, Search Console, GA4 or Amplitude, WordPress
Mindset
  • Ownership-driven: you treat the channel like it's your business
  • Experimental: AI search has no playbook yet, and that excites you
  • Pragmatic with data: you ship, measure, and iterate
  • Strong communicator who can explain what's working and why
  • Don't tick every box? If the core skills fit and you've done real work in this space, apply anyway. We care more about what you've shipped than a perfect checklist.

What You'll Do


Own Organic Growth
Own SEO strategy and execution end to end: technical, content, and off-page
Grow 150k monthly organic visits into a compounding acquisition channel that drives signups and revenue
Build and own the measurement framework and its live dashboard: rankings, AI citations, share of voice, and organic signups. This becomes how the whole company sees the channel
Win AI Search
Grow our visibility across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews through entity coverage, structured data, answer-level content, and everything LLMs read about us
Track how AI models cite and recommend us, with tools like Profound or Peec, or by building our own (we have the engineering support to do it)
Run our digital PR motion: reviews, roundups, and data studies that earn the citations LLMs trust
Work with a rare advantage: our data already powers AI workflows through our API and MCP integrations, so you're marketing a product AI assistants actually use
Scale Programmatic SEO
Run and expand our programmatic page engine: hundreds of pages across niches, geographies, and rankings
Launch and promote free tools built to earn links, mentions, and traffic
Turn our proprietary creator data into content and studies nobody else can publish
Work Across Teams
  • Partner closely with growth and engineering to ship fast
  • Use AI tools and agents daily. We build with them, and expect you to as well
  • Bring the outside in: what's changing in search, and what we should do about it

Nice to Have


  • B2B SaaS background, ideally data products or APIs
  • Digital PR and link-earning experience
  • Basic HTML/CSS and enough technical comfort to work directly with engineers
  • Experience building workflows with AI tools and agents

What You Get


  • A running start: 150k+ monthly visits, a live programmatic engine, and free tools already earning links
  • A data moat: proprietary creator data means you can publish studies and pages competitors simply can't
  • Full channel ownership: your strategy, your roadmap, your results
  • The frontier of search: own AI/LLM visibility at a company whose product is built for the AI era
  • An AI-forward team: modern tools and workflows are the default here
  • Flexible remote setup built around trust and autonomy
  • Fast growth opportunities inside a scaling startup
JavaScriptTypeScriptReact

Requerimientos del cargo

  • Experiencia real desarrollando producto full stack, frontend y backend.
  • Método para trabajar con IA de forma eficiente: saber dar buen contexto, iterar con criterio y no quemar recursos a base de prueba y error. Buscamos a alguien que piense antes de pedir a la IA que desarrolle, no que dispare peticiones a ciegas.
  • Entender el sistema a fondo, no tratar la IA como una caja negra. Hay que comprender cómo encajan las piezas de un proyecto y cómo se conectan entre sí, para que, cuando aparezca un error, sepas dónde mirar y por qué — y no dependas de que la IA lo adivine por ti.
  • Soltura con JavaScript/TypeScript (idealmente Next.js/React) y bases de datos SQL.
  • APIs REST, webhooks e integraciones con sistemas de terceros.
  • Saber integrar IA en el producto cuando el proyecto lo pide: consumir APIs de modelos de lenguaje, salidas estructuradas y function calling, con criterio para revisar lo que generan.
  • Autonomía para coger una solución ya diseñada y llevarla a producción tú solo.
  • Git y buenas prácticas de código.
  • Disponibilidad para solapar varias horas al día (80%) con el horario de España (CET), para coordinarnos.

Funciones del cargo

Trabajarás mano a mano con el fundador técnico. El proyecto llega ya auditado, diseñado y cerrado con el cliente; a partir de ahí, lo construyes tú. Cada cliente es distinto: lo mismo montas un CRM complejo, que un SaaS, que un chatbot con IA, que las tres cosas conectadas entre sí con agentes.

En el día a día:

  • Construyes en Cursor las soluciones ya diseñadas: las montas, las iteras y las dejas listas en producción.
  • Integras las piezas que pida cada proyecto: bases de datos, autenticación, ERPs, pasarelas de pago, mensajería y las APIs externas que hagan falta. El stack cambia según el cliente.
  • Cuando el proyecto lo pide, añades capa de IA: chatbots, asistentes y agentes que conectan con las herramientas del cliente y automatizan procesos de varios pasos.
  • Revisas el código que genera la IA antes de darlo por bueno: que haga lo que debe, que esté limpio, que no deje agujeros, y cazas y corriges los bugs.
  • Cuidas la seguridad y la protección de datos de lo que construyes, según lo que requiera cada proyecto.
  • Pruebas los flujos, los dejas funcionando en el cliente y los pules hasta que queden finos.

Opcionales


  • Experiencia construyendo agentes de IA o sistemas multi-agente.
  • Bases de datos vectoriales y RAG.
  • Python para piezas de IA o automatización.
  • Experiencia con bases de datos y backend como servicio (tipo Supabase/Firebase).
  • Integraciones con ERP o software de facturación, y con e-commerce.
  • Automatizaciones y conexión de herramientas (webhooks, APIs, flujos entre sistemas).
  • Nociones de protección de datos (RGPD) y seguridad aplicada.
  • Experiencia en entornos multi-tenant (un mismo sistema para varios clientes).
  • Bots y mensajería (WhatsApp, Telegram y similares).
  • Haber trabajado con clientes B2B o en proyectos a medida.

Condiciones


  • 100% remoto, desde cualquier país de LATAM.
  • Pago en USD, mensual y puntual, gestionado a través de una plataforma de pagos internacional (contrato y facturación incluidos).
  • Relación como contractor: facturas por tus servicios, con total transparencia.
  • Horario flexible dentro del solape con España.
  • Proyectos variados y reales: cada cliente es un problema distinto: un CRM, un SaaS, un sistema de predicción de stock, un chatbot con IA… no te vas a aburrir montando lo mismo.
  • Recorrido real según lo que demuestres: entras como primera incorporación técnica, trabajando mano a mano con el fundador técnico. Si destacas, ampliamos tu rol y tu responsabilidad — con la subida de sueldo que lo acompaña.
  • Trabajo con IA de forma nativa: usamos las mejores herramientas del mercado, no vas a pelearte con procesos anticuados.
Customer SupportMicrosoft 365Remote Support

Required Qualifications

  • 6-18 months of technical support, desktop support, ISP/telecom, NOC, or comparable troubleshooting experience.
  • Strong spoken and written English for customer interactions.
  • Windows troubleshooting, basic networking, remote support, and ticket-documentation fundamentals.
  • Reliable remote-work setup and availability during agreed U.S. business hours.
  • Strong ownership, documentation, and willingness to learn structured MSP processes.

What you will do

  • Serve as a first-line support contact and own straightforward tickets from intake through documented closure.
  • Troubleshoot Windows endpoints, common applications, printers/peripherals, VPN/connectivity, and Microsoft 365 user issues.
  • Perform approved routine Microsoft 365 tasks after onboarding: password/MFA support, basic user/license/mailbox administration, onboarding/offboarding steps, and common Outlook/Teams/OneDrive troubleshooting.
  • Use ConnectWise PSA for ticket lifecycle, time entry, status, client/site context, and escalation notes.
  • Use RMM/remote-support tools to gather diagnostics and remediate low-risk endpoint issues under documented procedures.
  • Coordinate with ISPs, carriers, vendors, or warranty providers when incidents depend on external parties.
  • Recognize security-related symptoms and follow Bitmax escalation procedures without disabling controls or making unapproved exceptions.
Work arrangement
  • Remote from Latin America.
  • Full-time schedule aligned to agreed U.S. business hours.

What is a plus?

  • • Microsoft 365 user/account support, MFA, Outlook/Teams/OneDrive troubleshooting.
    • Any PSA/RMM/ticketing exposure: ConnectWise, Autotask, HaloPSA, Jira Service Management, ServiceNow, Freshdesk, Zendesk, or similar.
    • Telecom/VoIP/3CX exposure.
    • CompTIA A+ or Network+ coursework, or equivalent hands-on fundamentals.
    • Experience supporting U.S. or international customers remotely.
    • Experience with or working knowledge of ThreatLocker.

Compensation, Benefits & Professional Growth

  • Paid vacation and sick/personal days after successful completion of the initial evaluation period.
  • Paid U.S. holidays according to the company holiday schedule.
  • Access to a company computer for work-related use.
  • Access to Microsoft training and certification resources relevant to the role.
  • Annual performance and compensation review.
  • Eligibility for performance-based bonuses based on individual contribution, reliability, service quality, and company performance.
SaaSEnglishAI Tools

What You’ll Bring

Technical & Industry Experience:

  • Experience in the IT industry (client onboarding, technical support, or customer success in a B2B SaaS environment);
  • Strong technical troubleshooting skills and the ability to explain complex concepts to non-technical users;
  • Familiarity with CRM platforms such as Pipedrive, Jira, Zendesk, or similar systems is preferred.

Communication & Training Skills:

  • Excellent English communication skills (C1 or higher), both written and verbal;
  • Strong presentation and training skills, with the ability to conduct client sessions via Google Meet or phone.

Professionalism & Organization:

  • Highly organized and self-motivated, capable of handling multiple tasks and shifting priorities;
  • Customer-focused approach with a commitment to providing excellent service.

What You’ll Do


Client Support During Implementation:

  • Collect and assess technical issues from newly signed clients to ensure a smooth and efficient onboarding process;
  • Lead troubleshooting meetings and provide real-time technical support via Google Meet, phone calls, and recorded training materials;
  • Ensure timely resolution of implementation-related technical issues.

Technical Support & Client Assistance:

  • Act as the first point of contact for clients experiencing technical issues;
  • Manage client requests via email, phone, live chat, and CRM systems;
  • Diagnose and troubleshoot technical problems, escalating complex cases to developers when necessary;
  • Create and manage bug reports using CRM platforms such as Jira, Pipedrive, or similar systems;
  • Collaborate closely with the QA team to reproduce, investigate, and resolve reported issues.

Ongoing Client Success & Engagement:

  • Proactively follow up with clients to ensure continued platform usage and address potential issues;
  • Assist in creating and maintaining user guides, FAQs, and other training materials to improve client self-service.

What We Offer


    • Fully remote work.
    • Work schedule: 9:00 AM – 5:00 PM (GMT-5)
    • Paid vacation (10 days).
    • An opportunity to significantly influence the direction of the company.
    • Steep learning curve and personal growth opportunities.
    • Access to courses and training.
    • Corporate English language training.
    • Competitive salary.
    • Growth opportunities
Risk ManagementDisaster RecoveryNetwork Security

Requisitos

Formación academica

  • Licenciatura en Ingeniería en Sistemas, Informática, Telecomunicaciones o carrera afín.
  • Deseable contar con certificaciones en ciberseguridad y seguridad de redes.

Experiencia

  • Entre 4 y 5 años de experiencia en Seguridad Informática.
  • Experiencia en Seguridad de Redes y administración de herramientas de seguridad.
  • Gestión de incidentes de seguridad, análisis de vulnerabilidades y mitigación de riesgos.

Conocimientos técnicos

  • Seguridad de redes y comunicaciones.
  • Análisis de vulnerabilidades y gestión de riesgos.
  • Herramientas de monitoreo y protección de seguridad informática.
  • Continuidad del negocio y recuperación ante desastres.
  • Normativas y buenas prácticas de seguridad de la información.

Competencias

  • Capacidad analítica y resolución de problemas.
  • Toma de decisiones ante incidentes críticos.
  • Comunicación efectiva y trabajo colaborativo.
  • Orientación a resultados y gestión de riesgos.

Funciones principales


  • Monitorear y administrar la seguridad de la infraestructura tecnológica y las redes corporativas.
  • Detectar, analizar y gestionar incidentes de seguridad informática, definiendo acciones de contención y escalamiento cuando sea necesario.
  • Identificar vulnerabilidades y coordinar planes de remediación para reducir riesgos de ciberseguridad.
  • Implementar, administrar y optimizar herramientas y controles de seguridad informática.
  • Participar en proyectos tecnológicos asegurando el cumplimiento de estándares y políticas de seguridad.
  • Apoyar auditorías, evaluaciones de riesgo y actividades de cumplimiento relacionadas con seguridad de la información.
  • Ejecutar y dar seguimiento a planes de continuidad del negocio y recuperación ante desastres.
  • Coordinar con proveedores y consultores especializados para la implementación y soporte de soluciones de seguridad.

Deseable


  • Experiencia con herramientas de gestión de vulnerabilidades y monitoreo de seguridad (SIEM/SOAR o equivalentes).
  • Conocimiento de controles de seguridad para endpoints, redes y entornos cloud.
  • Participación previa en iniciativas de mejora de postura de seguridad (auditorías, planes de hardening o remediaciones masivas).
  • Capacidad para elaborar documentación técnica y reportes ejecutivos para seguimiento de riesgos.
  • Certificaciones en ciberseguridad (Security+, CEH, GIAC, CISSP Associate o equivalentes) o experiencia comprobable equivalente.
  • Conocimiento de marcos y estándares de seguridad como ISO 27001, NIST o CIS Controls.

Beneficios


  • Ambiente de trabajo colaborativo y dinámico.
  • Flexibilidad de horarios y equilibrio entre vida laboral y personal.
  • Bono anual por alcance de metas
  • Seguro de vida y gastos médicos
¿Te interesa? Busca la oportunidad perfecta para ti y acompáñanos a llevar alegría y desarrollo cada vez más lejos.
Growth MarketingCustomer SuccessAI Tools

What we’re looking for

We are hiring a self-driven, AI-savvy operator to help build the company’s go-to-market engine and customer experience from the ground up. This is a broad, hands-on founding role for someone who can move fluidly across marketing, customer success, operations, and special projects.
This person will help us generate demand, support prospects and customers, improve onboarding and retention, build scalable workflows using AI, and lead high-priority projects that are critical to company growth. Core requirements are:
  • At least three years experience at a top-tier company or at a startup
  • Experience in at least one of: growth marketing, customer success, GTM ops, founder’s associate / startup operator, or a similarly broad startup role
  • Strong written and spoken English
  • Strong interpersonal skills and good customer presence
  • AI-native or highly AI-savvy; uses AI tools in day-to-day work and can explain how
  • Comfortable switching between strategy and execution
  • Highly organized and reliable
  • Good judgment in ambiguous situations
  • Strong follow-through
  • Excited by early-stage startup environments
This role is a fit if...
  • You like variety, ownership, and fast learning
  • You are energized by helping both customers and the business grow
  • You can write clearly, think commercially, and execute quickly
  • You do not need heavy structure to do great work
This role is not a fit if...
  • You want a narrowly defined specialist role
  • You dislike customer interaction
  • You rely on clear structure and detailed direction
  • You are not comfortable working independently and solving open-ended problems
  • You are not excited about using AI as part of your daily workflow

Responsibilities

This role exists to drive four outcomes:
  • Generate and nurture qualified sales pipeline
  • Build AI-enabled GTM and customer workflows that that help scale the company
  • Deliver an excellent customer experience from first touch through onboarding and ongoing success
  • Lead special projects that materially improve growth, execution, and customer outcomes
Responsibilities
Growth / marketing: run and improve outbound, inbound, content, and lifecycle marketing initiatives, including
  • Create and deploy marketing assets, customer-facing copy, sales enablement materials, case studies, and follow-up sequences
  • Help test positioning, messaging, channels, and growth experiments
  • Track campaign performance and turn insights into next actions
  • Support founder-led sales and GTM execution
Customer success: own or support sales onboarding, training, follow-up, and day-to-day customer communication, including
  • Ensure customers are progressing, getting value, and staying engaged
  • Identify and develop systemic improvements from customer pain points, objections, and product feedback
  • Help improve retention, expansion, and customer satisfaction
  • Create scalable customer playbooks, templates, processes, and automations AI-enabled operations: spearhead the deployment of AI tools to drive workflow efficiency and scale across Sales & Marketing
Use AI tools aggressively and intelligently to improve company processes
  • Build and maintain workflows for prospecting, research, outreach, reporting, onboarding, and support
  • Identify repetitive work that should be automated and implement practical solutions
  • Help the team develop better habits around AI-assisted execution
Special projects: lead special projects that are important to company growth, customer success, or internal effectiveness
General founding-team contribution
  • Work directly with the founders on high-priority opportunities
  • Operate with urgency, judgment, and ownership
  • Help shape the company’s early culture, systems, and standards

Nice to have

  • Experience working with U.S. customers
  • Experience in SaaS, recruiting, HR tech, or SMB software
  • Experience with CRM, email automation, support tools, analytics, and no-code / workflow tools
  • Experience creating customer-facing content or running lightweight growth experiments
  • Experience coordinating cross-functional projects

Additional benefits

This role offers performance bonus and equity participation contingent on performance.
Sales SupportCustomer Service

Qualifications and requirements

We're looking for someone with an active U.S. Property & Casualty (P&C) license, at least one year of insurance experience, and excellent English communication skills. Candidates must have experience in either/both Personal Lines and Commercial Lines insurance and must be living outside of the United States. The ideal candidate is detail-oriented, customer-focused, comfortable handling calls, and experienced with policy servicing, quoting, and working with insurance agency systems.

Job functions

This role is for a Licensed Insurance Virtual Assistant with an active U.S. Property & Casualty license. The person hired will support daily agency operations, including quoting, policy servicing, inbound and outbound calls, sales support, documentation, and carrier coordination.

The candidate will work closely with the assigned insurance agency’s internal team, clients, prospects, and carrier representatives. All Virtual Staffing will support the placement, onboarding, and coordination with the client.

Desirable skills

Candidates with experience in either/both personal and commercial lines, familiarity with agency management systems (such as Applied Epic, AMS360, or HawkSoft), knowledge of common U.S. insurance carriers, prior remote work experience, or insurance coding experience will have an advantage.

Customer ServiceAppointment SchedulingCRM

Qualifications and requirements

• Strong spoken and written English is required
• Clear and professional phone communication
• Previous experience in dispatching, customer service, sales, or appointment scheduling
• Organized, responsible, and comfortable handling several tasks at once
• Reliable computer, high-speed internet, headset, and quiet workspace
• Ability to work during California business hours (Pacific Time)
• Experience working with a U.S. service company is preferred
• Experience with CRM, scheduling software, Yelp, Thumbtack, or Google leads is a plus

Job functions

• Answer incoming calls, text messages, and customer inquiries in English
• Ask customers the right questions and collect job details, photos, and addresses
• Schedule appointments and coordinate electricians’ daily routes
• Follow up with new leads, estimates, and previous customers
• Confirm appointments and notify customers about schedule changes
• Update customer information, job notes, and appointment status
• Communicate with electricians throughout the workday
• Help turn incoming leads into booked appointments
• Request customer reviews and follow up after completed jobs
• Perform basic administrative and customer service tasks

Desirable skills

• Sales and lead-conversion experience
• Dispatching or appointment-scheduling experience
• Experience with U.S. home-service companies
• Familiarity with CRM and scheduling software
• Basic understanding of electrical, construction, or home-service terminology
• Experience with Yelp, Thumbtack, Google Local Services, or similar platforms
• Ability to handle difficult customers professionally
• Strong problem-solving and multitasking skills
• Spanish is welcome, but excellent English is essential

Conditions

• 100% remote, full-time position
• Work schedule aligned with California Pacific Time
• Monday through Friday, with occasional weekend availability
• Fixed monthly salary based on experience
• Performance-based bonuses and a percentage of generated profit
• Long-term employment opportunity
• Training on company procedures and electrical-service terminology
• Opportunity to grow into a Sales and Operations Manager position
• Candidate must provide a reliable computer, high-speed internet, headset, and quiet workspace

SchedulingCustomer ServiceOperations Coordination

What we’re looking for

We are seeking a dependable Weekend Specialist who thrives in a fast-paced, remote environment and can confidently manage multiple priorities with limited supervision. The ideal candidate has excellent written and verbal communication skills, strong attention to detail, and the ability to multitask across multiple service lines and stakeholders.
You should be comfortable making decisions, proactively solving scheduling challenges, and communicating with residents, vendors, and internal teams throughout the weekend.
Prior experience in scheduling, operations, customer service, hospitality, or home services is a plus. Experience with remote teams, CRMs, scheduling platforms, or recruiting is also advantageous.

What you’ll do

Respond promptly to incoming calls, emails, and service inquiries. Schedule, confirm, and update service appointments. Input and maintain accurate customer and appointment information in internal systems. Communicate schedule changes clearly to residents, service partners, and internal teams.
Monitor weekend service requests and ensure they are routed and addressed appropriately. Resolve scheduling conflicts and service issues in a professional and timely manner. Organize workflow by routing requests and managing assignments. Follow up with residents and service providers to ensure appointments are confirmed and completed smoothly.
Assist with special scheduling and administrative requests. Collaborate with weekday and weekend teams to ensure a seamless transition and continuity of operations. Assist with Onboarding Operations, including sourcing and identifying candidates, conducting interviews, and completing onboarding paperwork when needed. Provide a high level of customer service and help create a seamless resident experience.

Nice-to-have

  • Experience with scheduling tools, CRMs, or booking platforms.
  • Background in home services, hospitality, property management, or operations.
  • Experience with recruiting and onboarding processes.

What we offer

  • Fully remote position with a consistent Friday–Sunday schedule.
  • Supportive and collaborative team culture.
  • Opportunity for growth within a fast-growing PropTech company.
  • Opportunities to gain experience across operations, scheduling, customer service, and service coordination.
Schedule: Friday–Sunday, 9:00 AM–10:00 PM with a 1-hour lunch break.
Customer SupportBug ReportingExploratory Testing

Requirements

  • 3+ years in customer support, customer success, or QA for a software product (SaaS).
  • Fluent written and spoken English (C1 or better). Almost all our customers are in the US, Canada and the UK. You will be on video calls with them.
  • Strong technical curiosity. You are comfortable in a web admin panel, you understand what a browser console is, and you can tell a user error from a product bug.
  • Excellent written communication. You can explain one thing clearly instead of three things vaguely.
  • Genuine care about the customer's outcome, not about closing the ticket.
  • Autonomy. You work remote, you manage your own queue, and you ask for help early.
  • Availability overlapping US business hours (at least 09:00–17:00 US Eastern).
  • You already work with AI every day. This is a hard requirement, not a bonus. Equally important: you know when the AI is wrong. We do not want answers pasted to a customer without a human who checked them.

What you will do

This is not a ticket-closing job. You are the person who knows our product better than anyone outside the engineering team.

You have two connected jobs. First, you support our clubs: you answer their questions, solve their problems, and make sure they succeed with the platform. Second, you are the first person to use every new feature we build. You test it before it reaches customers, you report what is broken or confusing, and then you explain the finished feature to the clubs that need it.

Because you tested the feature, your support answers are correct. Because you support customers, your feature feedback is real. The two jobs make each other better.

  • Answer customer questions by email, chat and video call. Own each case until it is solved.
  • Diagnose problems with real data: read the admin panel, reproduce the issue, and decide if it is a configuration mistake, a misunderstanding, or a bug.
  • Write clear, reproducible bug reports for engineering — steps, expected result, actual result, screenshots, affected club.
  • Test new features before release on our staging environment. Try the normal path, then try to break it. Report what is unclear, not only what is broken.
  • Run feature walkthroughs and onboarding calls for club admins. Turn a new release into something a club owner understands in five minutes.
  • Write and maintain help center articles and short how-to videos.
  • Bring the voice of the customer into product decisions. You will tell us which requests keep coming back and which features nobody uses.
  • Help onboard new clubs: set up their courts, pricing, memberships and staff accounts.
  • Use AI every day as part of the job. You will also test and support Ace, our in-product AI copilot for club admins.

Nice to have


  • Experience testing pre-release software, writing test cases, or doing exploratory QA.
  • Experience with a payments product (Stripe, refunds, failed charges, disputes).
  • Experience writing help center documentation or making product videos.
  • Familiarity with support tooling (Intercom, Zendesk, HubSpot) and issue trackers (ClickUp, Jira, Linear).
  • Basic SQL, or the willingness to learn it. We will teach you.
  • Knowledge of racquet sports — pickleball, padel, tennis, squash — or experience working at a sports club or gym.

What we offer


  • $1800-$2500/mo salary
  • Fully remote work from anywhere in Latin America.
  • Direct access to the founders and the engineering team. Your bug report goes to the person who wrote the code, not into a queue.
  • Real influence on the product roadmap.
  • A small team where your work is visible.
  • Paid AI tooling. We give you the accounts and we expect you to use them.
Customer ServiceAppointment SchedulingVendor Coordination

What we’re looking for

We are seeking a dependable Resident Service Concierge who thrives in a fast-paced, remote environment and can confidently manage multiple priorities with limited supervision.
The ideal candidate has:
  • Excellent written and verbal communication skills.
  • Strong customer service and relationship-building skills.
  • Exceptional attention to detail and organizational skills.
  • The ability to multitask across multiple service lines, residents, and service partners.
  • Strong problem-solving skills and the ability to make decisions independently.
  • A proactive approach to resolving scheduling challenges and resident concerns.
  • Comfort working with technology and learning new systems quickly.
  • The ability to remain professional, responsive, and composed in a high-volume environment.
  • Strong follow-through and accountability.

What you’ll do

Respond promptly and professionally to incoming calls, emails, and resident service inquiries. Serve as a primary point of contact for residents throughout the service experience. Schedule, confirm, reschedule, and update service appointments across multiple service lines. Input and maintain accurate resident, service, and appointment information in internal systems. Communicate appointment details, updates, and schedule changes clearly to residents, service partners, and internal teams. Monitor incoming service requests and ensure they are routed and addressed appropriately. Coordinate with service providers to confirm availability and ensure appointments are properly scheduled. Resolve scheduling conflicts, service issues, and resident concerns in a professional and timely manner. Follow up with residents and service providers to ensure appointments are confirmed and completed smoothly. Organize daily workflow by prioritizing requests, routing assignments, and managing multiple service needs simultaneously. Assist with special scheduling, administrative, and operational requests as needed. Collaborate with other team members to ensure continuity and a seamless resident experience. Assist with Onboarding Operations when needed, including sourcing and identifying candidates, conducting interviews, and completing onboarding paperwork. Maintain a high level of professionalism, responsiveness, and attention to detail in every resident interaction. Help continuously improve processes that make the resident experience more seamless and efficient.

Nice-to-have

  • Experience with scheduling tools, CRMs, or booking platforms.
  • Background in hospitality, property management, luxury residential services, or home services.
  • Experience coordinating vendors or service providers.
  • Experience with recruiting and onboarding processes.
  • Experience working in a remote or distributed team environment.

What we offer

Fully remote position with a consistent Monday–Friday, 3:30 PM– 12:00 AM CT schedule. Supportive and collaborative team culture. Opportunity for growth within a fast-growing PropTech company. Opportunities to gain experience across resident services, operations, scheduling, customer service, and service coordination. The opportunity to play a direct role in creating exceptional experiences for residents across communities nationwide. Exposure to a wide range of service lines and operational functions.

Team LeadershipCustomer SupportEnglish (C1)

What we need

  • 2+ years as a team lead, supervisor or shift lead in support or a contact centre, ideally on US accounts.
  • Hands-on configuration experience with at least one helpdesk platform (Zendesk, Intercom, Freshdesk, HubSpot Service, Chatwoot, Gorgias). You should have built workflows in it, not only worked inside one somebody else built.
  • Experience migrating a support operation from one system to another, or standing one up from scratch.
  • English at C1 or above, spoken and written. You will speak with American parents directly.
  • Real command of support metrics: SLA, first response time, answer rate, case ageing, CSAT.
  • Hands-on billing experience: refunds, failed payments, subscriptions or invoicing in a customer-facing role.
  • Genuine availability 8:00 to 18:00 US Eastern, not "reachable".
  • Reliable internet and a workspace suitable for calls.

What you will do

Build and migrate

  • Help design the case model: priorities, SLAs, statuses, routing, tagging.
  • Run the migration from mailbox and spreadsheets onto the new platform, including the cutover plan and what happens if it goes wrong.
  • Configure the platform: automations, macros, assignment rules, reporting.
  • Train the team on the new process and keep it from drifting back.

Run the operation

  • Run the queue through your shift: assign work, watch cases approaching their deadline, move load between agents.
  • Own the phone line: answer rate, callbacks on every missed call, no dropped contact.
  • Escalate hard cases to our second line and to the teaching, IT and finance teams, and push them to an answer rather than forwarding and forgetting.
  • Hand over the shift: every open case with a status and a next step.
  • Check quality against a scorecard and give agents feedback.
  • Report daily on the queue and weekly on the numbers.

Billing and onboarding

  • Work billing cases end to end: failed and duplicate payments, subscription changes, refund requests, chargeback threats.
  • Chase students who have paid but not finished onboarding, and get them activated before the term starts.
  • Be the person finance talks to when a parent's payment history and their case history need to line up.

Nice to have


  • Experience in education or EdTech, or anywhere the customer is a parent.
  • Experience with WhatsApp Business API or Twilio-based telephony.
  • Spanish.

What we offer


  • Full-time, remote, paid in USD.
  • Base 1,500 USD per month plus a performance bonus taking total pay to 2,000 - 2,500 and above.
  • Real authority: you move work and raise critical cases without waiting for sign-off.
  • A build, not an inheritance. You will shape how support works here, then run it.
  • Room to grow: the team is expanding and this role grows with it.
EnglishSpanishCustomer Service

Requirements

We need a dependable, organized professional who is comfortable communicating with both contractors and working-class customers. Strong spoken and written communication is essential, and we value natural, confident conversation over scripted responses.

  • English: good spoken and written proficiency, accent okay.
  • Spanish: fluent/native-level spoken Spanish to communicate comfortably with Spanish-speaking customers
  • Comfort working with U.S. customers in a service and sales context
  • Phone confidence with the ability to explain next steps clearly and professionally
  • Customer service and/or sales experience in the U.S. is strongly preferred
  • Reliability and strong organization for managing ongoing conversations, quotes, orders, and follow-ups
  • Natural communication: able to communicate smoothly rather than sounding scripted
  • Comfort coordinating details and staying consistent through the customer journey (inquiries → quotes → order questions → follow-ups → delivery coordination)
  • Ability to support outbound outreach to contractors and property stakeholders
  • Plus: experience in construction, flooring, cabinetry, home improvement, or building materials

Soft skills we value: patience, professionalism, clarity under time pressure, and an upbeat, helpful tone. We expect a team-minded attitude and a consistent commitment to excellent customer experience.

Role

We are seeking a full-time bilingual English/Spanish Sales & Customer Service Representative to support customers and help grow our pipeline. This is a long-term remote position working U.S. Eastern Time.

  • Handle nearly all customer communication: phone calls, texts, Facebook, and website leads
  • Provide quotes, answer order questions, and complete follow-ups
  • Resolve customer service issues and coordinate timely next steps
  • Support delivery coordination by communicating status and updates clearly
  • Perform outbound outreach to contractors, landlords, and property managers
  • Help generate new business and maintain lead conversations through to next steps
  • Request customer reviews after successful service
  • Assist with basic social media/Facebook marketing to support visibility and engagement

We want someone reliable and organized who can talk naturally with contractors and working-class customers—especially on the phone—without sounding overly scripted.

Desirable

  • Previous U.S. customer service or sales experience
  • Experience with cabinetry, flooring, construction, home improvement, or other building-materials environments
  • Familiarity with managing leads and customer communication across multiple channels (phone, texts, web, Facebook)
  • Comfort working with contractors and stakeholder outreach (contractors, landlords, property managers)
  • Experience coordinating order and delivery updates for customers

Compensation & Schedule

We offer a long-term remote position working U.S. Eastern Time, with 40 hours per week.

Pay target:$6–$9 USD/hour depending on experience. 15 paid holidays annually.

If you’re reliable, organized, and confident communicating naturally in both English and Spanish, we encourage you to apply.

ExcelCustomer ServicePhone Support

¿Qué necesitas para postular?

  • Pensamiento lógico y matemático desarrollado. Es clave ser ágil con los cálculos y sentirse cómodo/a con realizar análisis en tu día a día, el soporte que brindamos a nuestros clientes es sobre cálculos de remuneraciones, conciliaciones bancarias, entre otros (este requisito es excluyente y será evaluado).
  • Mínimo 2 años de experiencia en atención al cliente, específicamente vía teléfono y correo
  • Buena redacción y ortografía.
  • Capacidad para comunicarse fluidamente.
  • Ser una persona dinámica.
  • Trabajar 100% remoto.

¿Qué desafíos enfrentarás?

  • Comunicación constante multicanal, principalmente mediante llamadas, para resolver requerimientos de clientes en vivo.
  • Pensamiento lógico y matemático desarrollado. Es clave ser ágil con los cálculos y sentirse cómodo/a con realizar análisis en tu día a día, el soporte que brindamos a nuestros clientes es sobre cálculos de remuneraciones, conciliaciones bancarias, entre otros (este requisito es excluyente y será evaluado).
  • Mínimo 2 años de experiencia en atención al cliente, específicamente vía teléfono y correo.
  • Gestionar correctamente crm para los tickets de llamadas.
  • Buena redacción y ortografía.
  • Utilización de Excel o Sheets (ej. aplicar fórmulas como SII, tablas dinámicas)
  • Ser una persona dinámica.

Suman Puntos Felices

  • Experiencia en cargos similares en start up
  • Conocimientos y/o experiencia en administración, finanzas o derecho.

Beneficios

Trabajo Remoto 🏠: Tenemos una cultura remota que prioriza los valores y herramientas remotas.

Excelente Cultura 🎉: Mensualmente fomentamos la cultura mediante 2 eventos digitales a nivel empresa y 1 evento a nivel de equipo.

Día Libre el Día de tu Cumpleaños 🎂.

Viernes Corto 🕔: ¡Los días viernes se sale antes!

15 Días de Vacaciones al Año 🌴.

Desarrollo de Carrera 📈: Planes de carrera y cursos formativos.

Días de Salud 💊: Te pagaremos el 100% de los 3 primeros días de una licencia médica que no cubre tu previsión (en cualquier país) cada año.

Provisión de Días de Salud para +3 Días 🏥.

Permisos por Matrimonio, Nacimientos, Lactancia, Adopción 👰🤱.

Bono de Festividades 🎁: Entregamos bono en diciembre.

CRMAI ToolsWritten Communication

What we need from you

  • Fluent written and spoken English. Our clients are US doctors. You will write to them and speak with them every day.
  • You own outcomes. You have handled client relationships and can tell us what you kept, what you lost and why. Haven't owned a client book yet? tell us honestly.
  • You bring bad news early, with a plan. You do not wait to be asked.
  • You write clearly and fast. If your writing needs a second pass to be understood, this is the wrong seat.
  • You can hold a doctor's respect. Calm, direct, prepared, unbothered by pushback.
  • You live in AI tools. You useClaude or similar every day, can show us how, and pick up new tools fast. This matters more to us than your resume.

You do not need to be a GoHighLevel expert on day one, but you must learn fast and be willing to build. You need to work 9:00 AM to 5:00 PM US Eastern, with your camera on.

Skunks on the table

Every line is true. If one makes you want to close the tab, that is useful for both of us. If they make you lean in, you are probably who we are looking for.

  • This is a fully remote position. If you do not have a quiet, productive place to work from home with reliable power and internet, this is not the right role for you.
  • Going quiet is the one thing that does not work here. Missed a deadline? Tell us. Stuck? Say "I hit a wall." Problems get named the same day, in the open.
  • No recipe, and the structure keeps moving. We are "building the plane while flying it," and pods, seats and clients change as we grow. The first 2 to 3 weeks are quiet. The people who thrive start digging before anyone asks.
  • The CEO is direct. Plain feedback, expected back. He loves being challenged and hates silence.
  • Doctors push back, and quality beats volume. Our clients are smart, busy and spending their own money, so you hold your ground with evidence. A cheap lead who cannot afford a $4,000 treatment is not a win. Compliance is non-negotiable: no guarantees, no definitive claims.
  • You are the last set of eyes. Errors that should have been caught in QA come out of the pod's bonus pool, just as retention and expansion grow it.

Our values: give a shit · better before bigger · sincere candor · move fast and fix it · prove it works · unimpeachable character.

The job

  • You own the relationship. The doctor emails you, Slacks you and gets on calls with you.
  • You turn requests into work. Every client ask becomes a ClickUp task the team can act on without a follow-up question, with the why attached. "Build a new landing page" is not a brief. "The heatmap shows people stop scrolling before the CTA, so the CTA moves above the fold" is. When it is something you can build, you build it.
  • You narrate the numbers. In two minutes, in plain English: what is working, what is not, and what is next.
  • You catch problems first. The client never discovers an issue we have not already told them about.
  • You spot the next win. Not a pitch. Arithmetic out loud with the client's own numbers until the next step is obvious.

This is not a messenger seat: from day one you also build GoHighLevel automations, workflows and landing pages, using AI to move fast. And if all you do on a call is read a report, you are not doing the job.

What a good month looks like

  • Every client request became a ClickUp task with enough context that nobody had to come back to you to ask what it meant.
  • You ran the client calls yourself. The CEO was not on them.
  • You built or fixed automations, workflows or pages yourself instead of leaving them in someone else's queue.
  • Your pod's daily client updates went out accurate, because you read them before they shipped and corrected the one that was wrong.
  • No client surprised anyone with a problem, and no client cancelled without the risk being visible weeks earlier.
  • You brought at least one expansion case built on a client's real numbers, or explained why the timing was wrong.

How we work

  • Reply to clients within 1 business hour, even if it is "got it, looking into it," with a real answer or a timeline within 24. Reply to internal Slack within 10 minutes.
  • Decisions live on the ClickUp task or in the client channel. Never in DMs.
  • Monday all-hands, 9:00 to 10:30 AM Eastern.

Not required, but make sure to tell us if you have any of these:

  • Healthcare or high-ticket cash-pay client experience
  • GoHighLevel, or a similar CRM and automation platform
  • Zapier, Make or other automation tools
  • Meta Ads Manager
  • Briefing builders, designers or media buyers, and getting the work back right the first time

Pay and growth

  • Junior Client Success Managers start at $1,500 USD per month, plus a share of the pod's monthly bonus pool.
  • Raises follow responsibility, not tenure. And a 90-day review with the CEO to set what comes next.
  • CSM to Strategist. This is a real step people here have been offered.
  • Earn more by carrying more. Cover more than one seat in your pod well and you earn more than one seat's share of the bonus.
  • Learn a niche most marketers never touch. Doctors as clients, four- and five-figure treatments. People who get good at this are rare, and they get paid like it.
  • Room to build, zero micromanagement. See a better way to run things? Say so and run it.

Terms: full-time independent contractor, paid semi-monthly in USD. 20 days of paid time off a year, including six US holidays, approved in advance. Fourteen-day notice, either party. Location flexible, Eastern hours fixed.

.NetNode.jsSQL

🔍 Requisitos

Buscamos un/a Desarrollador/a Fullstack con experiencia sólida en el desarrollo de frontend y backend. En este proyecto de digitalización, serás responsable de construir y mantener componentes web y PWA, además de colaborar en el desarrollo de APIs y su integración con servicios. Debes contar con conocimientos en arquitecturas modernas y APIs REST, y manejar control de versiones con GitLab y/o GitHub.

Valoramos también la capacidad de trabajar de forma colaborativa en equipos ágiles, el enfoque en la entrega y la responsabilidad sobre la calidad del software.

🚀 Principales responsabilidades

  • Desarrollo de interfaces web y apps móviles (PWA) con Angular y/o Ionic
  • Implementación de UI con HTML5, CSS3, JavaScript y Bootstrap
  • Desarrollo y mantenimiento de APIs con NodeJS y NestJS
  • Trabajo con contenedores (Docker, Kubernetes)
  • Integración y desarrollo en tecnologías como .NET, C# o Python según necesidad
  • Gestión de bases de datos SQL (SQL Server, Oracle) y NoSQL (MongoDB, Redis, etc.)
  • Despliegue y operación en Google Cloud Platform (GCP)
  • Uso de herramientas de IA como apoyo al desarrollo

✨ Deseable

  • Experiencia usando contenedores y orquestación con Docker y Kubernetes
  • Experiencia con despliegue y operación en Google Cloud Platform (GCP)
  • Conocimiento adicional en bases de datos SQL/NoSQL (por ejemplo, SQL Server, Oracle, MongoDB, Redis)
  • Experiencia integrando soluciones con tecnologías .NET, C# o Python
  • Uso de herramientas de IA como apoyo al desarrollo

🤝 Beneficios

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.

Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.

AI ToolsMobile App DevelopmentRapid Prototyping

Qualifications and requirements

You're a builder who can't stop shipping. Specifically:

  • Experience launching mobile apps — this is a hard requirement. You've shipped to the App Store or Google Play, not just localhost.
  • Fluent in the new stack. AI agents, vibe-coding tools (Cursor, Claude Code, v0, Replit, etc.), and whatever ships next week.
  • Receipts. You build in public and can prove it — GitHub, live projects, launch threads, demo videos.
  • Fast shipper. You're comfortable going from idea to live product in a day and iterating in production.
  • Low-ego, high-output. You treat "impossible" as a dare.

Job Functions

The Vibe Coder in Residence ("VCR") is part builder, part mad scientist, part hype machine. You use AI tools to turn "wouldn't it be cool if..." into something live — same day. No red tape, no approval chains.

  • Ship daily. Prototypes, micro-apps, and experiments. If it's fun and useful, it goes live.
  • Build in public. Demos, threads, and behind-the-scenes content that puts Zagged everywhere.
  • Remix what works. Take a win, loop it, and make it better across growth, content, and product.
  • Never touch marketing. You focus entirely on building — distribution is our core business, and we aim it at your projects.

Success is measured in shipped projects, not meetings attended.

Desirable skills

None of these are required, but they'll make us pay attention:

  • Growth or consumer product instincts — you know what makes something shareable before you build it.
  • Familiarity with social/creator platforms — TikTok, Reels, Shorts, or short-form content tools.
  • Your own audience or distribution channel — a following on X, a newsletter, a YouTube channel, anything.
  • Design taste — your projects look good, not just work.
  • Strong opinions about fonts. Yes, really. There's a question about this in the application.

Conditions


  • Fully remote team setup, enabling flexible work from anywhere.
  • Fast-paced startup environment where shipping and learning are prioritized.
  • Collaborative engineering culture with active peer review and shared ownership of outcomes.
If you’re a mid-level engineer who enjoys building both app and web features and wants to grow in a remote, high-velocity team, we’d love to hear from you.
KotlinAndroid SDKGoogle Play

Experience and Skills

  • 5+ years of experience building and shipping production Android applications using Kotlin.
  • Proven track record at a product-based company (ideally in consumer or fintech sectors), owning features from initial concept through to release.
  • Deep knowledge of Android fundamentals, including Jetpack Compose, Views, Kotlin Coroutines, and Flow.
  • Strong expertise in memory and performance profiling, as well as managing the Play Store release process.
  • Fluent English, with excellent written and verbal communication skills for daily async collaboration in a global team.

Skills

  • Kotlin
  • Android SDK
  • Jetpack Compose
  • Kotlin Coroutines
  • Android Flow
  • Play Store Console
  • Mobile Architecture

Key Responsibilities

  • Design, build, and ship high-quality features in Kotlin using Jetpack Compose and Views.
  • Own features end to end, including architecture, implementation, testing, and production monitoring.
  • Partner closely with product and design teams to turn ambiguous problems into polished, intuitive mobile experiences.
  • Raise the bar on code quality, performance, and craftsmanship across the Android codebase.
  • Collaborate asynchronously with a distributed, global engineering team.
  • Mentor other engineers and help shape Android development practices as the team scales.

Nice to Have

  • Google Pay Integration
  • Localization
  • Mobile Accessibility
  • Fintech

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

JavaScriptJavaAndroid

Skills Principales:

El candidato ideal deberá contar con sólidos conocimientos en JavaScript, Angular (versión 8 o superior), Java y desarrollo Android nativo, así como experiencia con Jetpack, Jetpack Compose, HTML5, CSS, SCSS, Bootstrap y Angular Material.
Skills Principales:
  • JavaScript
  • Angular 8 y versiones superiores
  • Java
  • Android nativo
  • Jetpack
  • Jetpack compose.
  • HTML5
  • CSS
  • SCSS
  • Bootstrap en versiones actuales y antiguas Material
Soft Skills
Facilidad de comunicación. Espíritu colaborativo. Capacidad para relacionarse con otros.

Responsibilities

Diseñar, desarrollar y mantener aplicaciones web utilizando Angular (v8 o superior), asegurando un código limpio, reutilizable y alineado con las mejores prácticas de desarrollo.
Desarrollar y optimizar aplicaciones móviles en Android nativo utilizando Java, Jetpack y Jetpack Compose, garantizando rendimiento, estabilidad y una excelente experiencia de usuario.
Implementar interfaces responsivas y accesibles utilizando HTML5, CSS, SCSS, Bootstrap y Angular Material, manteniendo consistencia visual y funcional en los diferentes dispositivos.
Colaborar con equipos de UX/UI, Backend y Producto para transformar requerimientos funcionales en soluciones técnicas eficientes, participando activamente en revisiones de código y procesos de mejora continua.
Investigar e incorporar nuevas tecnologías y herramientas, incluyendo soluciones basadas en Inteligencia Artificial para la generación de mocks, propuestas gráficas y optimización de los procesos de desarrollo cuando sea apropiado.

Skills Opcionales:

  • React
  • Redux
  • Kotlin
  • Uso de IA para generar mocks o propuestas gráficas.

Benefits

Trabajo 100% remoto. Full-Time
Contrato por prestación de servicios (contractor) a término Indefinido.
Presupuesto: 2000 USD - 2100 USD
10 días de vacaciones por año pagadas. Día libre en el cumpleaños. Feriados de Chile. Pago USD

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