Remote Data Science Jobs

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

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

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

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

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

Why Join Artefact

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.

• 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

What We're Looking For

• 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

• 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

• 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

What we’re looking for

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

Experience and Skills

• 6 or more years of UX and product design in consumer-facing (B2C) fintech: onboarding, digital banking, KYC/identity, digital wallets, or AI copilots. Internal B2B or enterprise tooling is not the target background.
• Consumer psychology as the primary lens: a proven ability to understand and design for what users feel in high-stakes moments — fear, distrust, and anxiety about sharing sensitive data. This is the #1 must-have; the candidate should surface the emotional dimension on their own, not need it explained.
• Strong understanding of user behavior under financial anxiety, conversion optimization, and mobile-first native flows.
• C1 English level or higher.
• A portfolio available to share during the hiring process, showing real end-to-end flows, not only UI.
• A concrete track record of reducing drop-off and improving funnel completion, backed by real metrics.
• Experience designing for vulnerable or high-perceived-risk users (e.g. elderly, low-digital-literacy, public banking, real KYC or biometric verification).

Skills

• Figma
• User Flows
• Product Design
• User Psychology
• Funnel Optimization
• Onboarding Design
• Conversion Rate Optimization (CRO)
• Advanced English (C1+)
• UX Strategy
• Information Architecture
• Consumer Psychology

Key Responsibilities

• Own user psychology and customer journeys, identifying friction points and designing intuitive experiences around user fear, anxiety, and trust.
• Translate business requirements and data funnel metrics into simplified conversational AI flows and mobile-first solutions.
• Ensure customers can navigate complex automated workflows without confusion, maintaining transparency and explainability in AI-driven decisions.
• Turn user insight into concrete design — user flows, prototypes, and behavior-driven decisions (Figma and design systems in service of that, not as the focus).
• Collaborate closely with engineering teams to ensure solutions are technically feasible, maintaining an efficient handoff process while protecting user intuition.
• Constructively challenge product directions and support the team under high-velocity delivery environments.
• Diagnose funnel drop-offs from real data (product analytics, reports, call-center signals) and reproduce the root cause before redesigning.
• Act as the end user's advocate, defending their experience with engineering and executive leadership even when it challenges the business.

Nice to Have

• React
• Frontend Development
• Artificial Intelligence (AI) Workflows
• Fintech
• Design Systems
• Conversational UI Design
• Prototyping
• mobile-first design

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.

Required Skills & Qualifications

• 2–4 years of hands-on SEO experience
• Native Spanish Speaker and fluent in English
• Strong knowledge of On-Page, Off-Page & Technical SEO
• Experience in keyword research, competitor analysis & link building
• Hands-on experience with Google Analytics, Search Console & GTM
• Strong SEO reporting and analytical skills
• Ability to manage multiple projects in a fast-paced remote environment

Key Responsibilities

• Good understanding of search engine optimisation techniques.
• Responsible for the execution, coordination, and implementation of SEO activities (on-page & off-page) for E-commerce websites
• Must have off-page/on-page SEO knowledge
• Conduct on-site and off-site SEO competitor analysis
• Help to execute on-site and off-site SEO strategies (including link building) for a range of clients in a host of industries
• Build strong, long-term client relationships and maintain frequent contact
• Perform keyword research to optimise existing content and explore new opportunities
• Maintain weekly reports and monthly reports
• Performing competition analysis and backlink analysis
• Complete weekly and monthly performance reports
• Carrying out SEO Audit work, connecting bloggers for quality backlinks
• Maintaining blogs & implementing SEO optimisation techniques for the website and the YouTube channel
• Hands-on with Google Analytics, Webmaster tool, Google Tag Manager, etc.
• Participation in client communication

Preferred Skills

• Healthcare or e-commerce SEO experience
• Experience with international websites
• Knowledge of Local SEO & search trends
• Experience with YouTube SEO & content optimization
• Familiarity with SEO tools such as Ahrefs, SEMrush or Screaming Frog

What We Offer?

• Opportunity to work on digital marketing for global healthcare doctors, surgeons, clinics and hospitals.
• A collaborative and growth-driven work environment.
• Learning and development opportunities, including internal training sessions.
• Career progression within the content and other domains.

Apply now and be a part of HMA’s growing content team!

Experience and Skills

• 4+ years of experience in digital marketing, growth marketing, content marketing, or a related discipline, ideally within a B2B or B2B SaaS environment.
• C1 English level or higher.
• Hands-on experience operating account-based marketing (ABM) platforms such as Propensity, 6sense, or Demandbase.
• Strong technical and on-page SEO experience, including keyword research, internal linking, and content performance analysis.
• Familiarity with Answer Engine Optimization (AEO) and visibility strategies for AI-driven platforms like ChatGPT, Perplexity, and Google AI Overviews.
• Proficiency with Google Analytics 4 (GA4) and website CMS platforms.

Skills

• SEO
• AEO
• ABM
• GA4
• CMS
• 6sense
• Demandbase
• Digital Marketing
• Content Marketing

Key Responsibilities

• Optimize, publish, and maintain SEO and AEO-focused articles, landing pages, and web content to maximize visibility across traditional search and AI engines.
• Manage the organic content publishing pipeline and maintain a predictable production calendar across web and social channels.
• Own routine website updates, collaborating with operations teams to improve page layouts, navigation, and call-to-actions for higher conversion.
• Operate the ABM platform to set up target-account lists, configure campaigns, and report on account engagement.
• Draft, schedule, and optimize organic social media content, maintaining a consistent brand voice.
• Analyze digital channel performance using GA4, translating data into actionable optimization decisions.

Nice to Have

• Propensity
• Oktopost
• B2B SaaS

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.

Qualifications and requirements

• 2–3 years in performance marketing (agency or brand side) - OR you are junior with real hunger, you learn fast, and you can show us something you've run
• Good written English
• You understand (or want to master) CPA, margin, and why platform numbers lie - we measure against real store revenue, not Meta's dashboard
• You can read a funnel: sessions, drop-off points, conversion by step - or you genuinely want to learn it fast, with guidance
• Full-time (30–40 hrs/week). This is your main job. Side projects are fine only if they never touch our daily rhythm.
• Bonus: you can make static image ads yourself (AI tools provided)

Performance Marketer & Creative Strategist

• Research competitor ads (Meta Ad Library, TikTok Creative Center) and turn what works into new angles and hooks
• Own creative strategy with the founder: which angles to test, why, in what order - you bring proposals, we decide fast, you execute faster
• Write ad copy and clear creative briefs for our AI video editor - then push for fast production
• Build, launch, test, and kill ads on Meta first (TikTok and others later), following clear rules we set together
• Check results daily. Kill losers fast. Scale winners.
• Analyze the full funnel — ad → landing page → product page → checkout — using Clarity recordings, drop-off data, and store analytics. Find where people leave, tell us why, propose the fix. "The page has a problem" is not analysis; "42% drop at the price reveal, here is what to change" is.
• Setup work: ad accounts, pages, pixels

Qualifications, Skills and Key Competencies:

• 3+ years of local SEO experience
• Proven Local SEO SOPs
• Strategic thinker, not just a task executor
• Experience working with home service accounts
• Ability to build and own 6/12-month strategy plans, not just execute a task list
• Must provide a portfolio or audit sample demonstrating actual client work (Google Business Profile optimization, strategy, citation building, and on-page SEO)
• Full-time exclusive commitment to this role, with no concurrent work for other agencies or clients
• Strong written English for client-facing communication and reporting
• Experience using AI as an additional tool, not their only tool — they need a strong local SEO foundation, using AI to amplify what they already know from experience
• Experience managing 7–10 client campaigns at a time
• Reliable high-speed internet and a backup plan for outages.

Responsibilities:

• Google Business Profile Audit, Competitor Analysis and Optimization
• Comprehensive website audits covering competitive, on-page, off-page, and technical
• Building 6-month and 12-month SEO strategies tailored to each client and market
• Local citation building, NAP consistency audits, and cleanup
• Local keyword research, competitor analysis, and market research
• On-page optimization: title tags, meta descriptions, headers, content
• Rank monitoring and data-driven optimization recommendations
• Maintaining clear, client-ready tracking and reporting systems
• Support on link building and local content optimization
• Assistance with monthly client reporting

Nice-to-haves:

• Past experience working with another local SEO agency that focused on home service businesses
• Experience with Google Ads
• Experience with Slack (our main communication platform)
• Experience with schema markup / structured data implementation
• Experience with Ai prompt and system engineering

Benefits:

• 7 paid days off per year, plus local public holidays observed
• Weekly, on-time pay in USD
• Potential for bonuses
• Direct access to the Lead SEO — no middle-manager layer
• Growth and expanded responsibility tied to impact, not a review cycle

Experience and Skills

• Senior-level professional with 5+ years of experience in email marketing, campaign execution, analytics, and automation.
• C1 English level or higher
• Hands-on experience with email marketing platforms, segmentation, automated journeys, lifecycle marketing, and high-volume campaign execution.
• Strong knowledge of email deliverability, sender and domain reputation, bounce management, suppression, list hygiene, authentication, and inbox placement.
• Strong analytical skills, including campaign performance analysis, customer behavior analysis, conversion tracking, retention, and revenue attribution.
• Experience designing and evaluating A/B tests across content, creative, timing, segmentation, cadence, or subject lines.
• Strong written communication skills and experience developing email copy, calls to action, personalization, and campaign messaging.
• Working knowledge of digital design tools such as Canva, Adobe Creative Suite, or similar platforms.
• Working knowledge of AI and LLM tools for campaign development, analysis, research, and workflow acceleration.
• Hands-on experience with Email Automation, Customer Segmentation, Email Analytics, A/B Testing, ActiveCampaign, SendGrid, Google Analytics, Email Copywriting, AI/LLM Tools.

• Email Marketing
• Email Automation
• Customer Segmentation
• Lifecycle Marketing
• Email Analytics
• Email Deliverability
• A/B Testing
• ActiveCampaign
• SendGrid
• Google Analytics
• Email Copywriting
• Canva
• Adobe Creative Suite
• AI/LLM Tools
• automation

Key Responsibilities

• Own end-to-end email campaign execution, including audience selection, setup, scheduling, testing, deployment, quality control, and post-send analysis.
• Build and refine customer segments using behavioral, lifecycle, engagement, demographic, and other available data.
• Develop, monitor, troubleshoot, and optimize automated journeys, including trigger logic, eligibility, timing, suppression rules, and exit criteria.
• Analyze delivery, bounce, open, click, unsubscribe, complaint, registration, conversion, retention, and revenue metrics. Identify why performance changes and recommend specific actions.
• Proactively identify high-value audiences and opportunities, recommending targeting, timing, messaging, and segment-specific strategies.
• Monitor deliverability, domain and sender reputation, IP health, inbox placement, authentication, spam signals, bounce patterns, suppression, list hygiene, and sending behavior.
• Maintain rigorous pre-send controls for exclusions, links, tracking, personalization, creative, configuration, and send volume.
• Develop and optimize subject lines, preheaders, calls to action, email copy, layouts, and campaign graphics.
• Design and evaluate A/B tests, apply findings to future campaigns, and continuously improve workflows and campaign performance.
• Develop reporting that connects email activity with audience behavior, conversion, retention, revenue, deliverability health, and recommended actions.
• Collaborate with marketing, data, product, design, and technical teams to improve data quality, tracking, creative, automation, and execution.

Nice to Have

• NeverBounce
• Google Postmaster Tools
• GlockApps
• Revenue Attribution
• Retention Marketing
• Winback Campaigns

Benefits

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.

Qualifications and requirements

• Hands-on experience using AI tools such as Claude or ChatGPT in your daily marketing work. We'll ask you to show us how
• Solid Google Ads experience (search campaigns, keyword and search-term analysis, conversion tracking), ideally as part of a broader growth or funnel role rather than campaign execution alone
• A track record of finding root causes in conversion problems rather than patching symptoms
• Strong analytical skills: you're comfortable in analytics and funnel data and can explain what the numbers mean
• Systems thinking: you can hold a whole funnel in your head, from ad to landing page to signup to first order
• Comfort with ambiguity and early-stage work with no fixed playbook
• Fluent written and spoken English, and availability overlapping US Eastern business hours
• The ability to commit roughly 40 hours a week to this engagement during the trial

Job functions

What you'll own: the paid acquisition funnel from ad to landing page to signup to first order.

Responsibilities

• Diagnose where prospects drop off, work out why, and propose and run fixes
• Build and execute a clear growth strategy, not just spend more budget
• Monitor the funnel continuously, catch drift early, and report findings back with recommendations
• Review customer support and inbound sales calls for friction that ad metrics miss
• Run and optimize Google Ads as one channel within that funnel
• Use Claude and other AI tools daily to do more analysis and testing than a larger team could

How success is measured

• A documented strategy for improving our weaker funnel within the first 30 days
• A regular reporting rhythm with clear findings and next steps
• Concrete conversion improvements from the changes you test

Engagement: this starts as a paid contract of 1 to 3 months, with a path to a long-term role. We expect roughly 40 hours a week of dedicated focus and overlap with US Eastern business hours. The trial is exclusive.

Desirable skills

• Experience with an acquisition funnel for a self-serve product, ideally B2B or B2C services
• Familiarity with product analytics and session-recording tools
• Landing page and conversion-rate testing experience
• Experience reviewing customer or sales calls to find friction and opportunities
• Experience with email or lifecycle marketing automation

Conditions

• Compensation: USD $3,000 to $4,500 per month, depending on experience (negotiable)
• Engagement: paid contract of 1 to 3 months, with a clear path to a long-term role if it goes well
• Location: fully remote; you work from your own country
• Schedule: about 40 hours a week, with overlap with US Eastern business hours
• Support: direct access to the founder and project manager, real data to work with, and the freedom to test ideas
• Tools: we encourage heavy use of AI tools and will give you access to the systems you need

Qualifications and requirements

• 2+ years growing a high-ticket offer ($1,000+): coaching program, paid community, course or B2B service
• Has built or grown an online community, with numbers to show: members, engagement and how many converted to paid
• Results you can walk us through: spend, leads, booked calls, sales, and exactly what you built or changed
• Funnel/CRM experience in GoHighLevel, Kajabi, ClickFunnels or similar, plus one automation tool (Zapier, Make or ManyChat)
• Direct-response copywriting for landing pages, sales pages, email and community posts
• Hands-on paid social: campaign setup, testing and reading results
• Comfortable with analytics: Meta Events Manager, GA4, UTMs and simple reporting
• Advanced English (B2 or higher), written and spoken. You'll work daily with an English-speaking co-founder
• At least 4 hours of daily overlap with US Eastern time

Job functions

Community

Launch and grow our community (Skool, a Facebook Group or similar): content calendar, engagement, live events, member onboarding, and turning free members into paid signups.

Funnels and landing pages

Audit and improve our landing pages, sales pages, application and call-booking flows, and VSL or webinar funnels. A/B test offers, headlines and page structure.

Organic content

Build a short-form content system (TikTok, Reels, YouTube Shorts) and other channels that feed the community and the funnel.

Paid acquisition

Plan, launch and optimize campaigns (Meta first) that bring qualified operators into the funnel. You own the angles, hooks and copy.

Email and newsletter

Grow the list and run email/SMS sequences from first opt-in through booked call, purchase and onboarding.

Reporting

Keep tracking clean and report weekly on cost per lead, booked calls, show rate, close rate, community-to-paid conversion and CAC, plus what you'll test next.

How we'll roll it out

Months 1–2: tracking, funnel and email nurture. Months 3–4: launch the community and newsletter. Month 5+: scale paid and organic, and own the growth roadmap and budget recommendations with the founders.

Nice to have

• Skool experience, especially running a free-to-paid community model
• Experience with business-opportunity or education offers and the ad and income-claim compliance rules that come with them
• SaaS growth experience (trials, onboarding, retention)

Compensation and benefits

• Uncapped commission: 25% commission on every program sale you bring in ($400 per 6-month sale, $625 per 12-month sale, with the goal eventually: a monthly plan [$100-200], a 6 month plan $2500, a 12 month plan $4000. Paid on collected revenue. Strong performers can earn well above market rate. We only have 8 students and would like to acquire hundreds more since the market is big and highly fragmented.
• Full-time, 40 hours/week, fully remote
• Long-term role working directly with both founders, not an agency gig
• Real ownership: you build our growth channels and community from the ground up

What You Need

• 5+ years of experience in mobile games product management, live game operations, production, or studio/portfolio leadership.
• Strong experience with F2P casual mobile games.
• Experience with puzzle, word, card/solitaire, jigsaw, hidden object, match-3, or similar evergreen genres is a strong plus.
• Proven ability to improve mature or live products through iteration, LiveOps, monetization work, and data-driven testing.
• Strong understanding of retention, ARPDAU, LTV, ROAS, ad monetization, IAP, LiveOps, UA readiness, and product economics.
• Experience building or leading small cross-functional teams.
• Ability to hire and manage remote contributors across product, design, engineering, analytics, QA, and art/content.
• Comfortable working with older products, imperfect data, technical limitations, technical debt, and practical trade-offs.
• Ability to coordinate with centralized UA, AdOps, analytics, and publishing teams without losing product ownership.
• Strong communication skills and a clear decision-making style.
• Fluent English required.
• Spanish and/or Portuguese is a plus.
• LATAM work experience or strong understanding of the LATAM gaming talent market is a plus.
• Existing network in the Argentina/Buenos Aires gaming community is a strong plus.

What You’ll Do

• Build and lead the initial LATAM-based game revival team.
• Recruit, select, onboard, and manage the first key team members, including game design/LiveOps, engineering, and, as needed, QA/release and art/content contributors.
• Own the product strategy, roadmap, and business results for assigned games.
• Lead diagnostics across candidate titles and recommend which game to revive first.
• Define the revival plan for each selected game.
• Audit existing games across FTUE, retention, monetization, content, ad logic, store promise, technical health, LiveOps, and UA readiness.
• Create a fast release cadence focused on measurable product improvements rather than large, unfocused redesigns.
• Define and run experiments to improve retention, engagement, monetization, LiveOps performance, and UA readiness.
• Build a practical LiveOps process: content calendar, events, offers, daily challenges, seasonal updates, and player communication where relevant.
• Coordinate with customer UA, AdOps, analytics, and infrastructure teams while keeping product decisions owned by the revival team.
• Establish dashboards, KPI reviews, experiment readouts, and scale/stop/continue decisions.
• Make clear ship/stop/scale/sunset recommendations based on data and product judgment.
• Establish the operating rhythm of the new team: weekly KPI reviews, product planning, release planning, and post-test readouts.

Ideal Candidate Profile

A hands-on mobile game operator, not a corporate coordinator. You have enough product judgment to know what matters, enough leadership ability to build a small team, enough data discipline to avoid guessing, and enough pragmatism to revive existing games without trying to rebuild everything from scratch. You understand mature games, LiveOps, monetization, legacy audiences, limited resources, and business accountability.

This role is best suited for someone who wants to run a small studio-like operation and be accountable for making revived games real products again.

Conditions

Qualifications and requirements

• You can look at forty scattered requests and say which five matter, and defend the call when someone disagrees.
• 2+ years in product operations, as an associate or junior product manager, or in customer success or support at a software company.
• You are genuinely curious about users. You ask the second and third question, not just the first.
• Fluent written and spoken English. Non negotiable, our customers are American.
• You write clearly and briefly. This is the core skill of the job. Everything a customer reads will be written by you.
• You are technically literate. You do not need to write code, but you should read an error message, understand what an API or a database is, and describe a bug precisely enough that an engineer can act on it without asking you three questions.
• You are organized without needing anyone to check on you.
• At least 4 hours of daily overlap with US Pacific time.

Job functions

• Own the weekly priority list. Ranked, with the reason behind each item. The founder approves it in 15 minutes on Monday.
• Turn scattered requests into decisions. What matters, what waits, what we never build.
• Write tickets clear enough that our engineers never ask a follow-up question.
• Keep our project board actually accurate. Today it is not.
• Test features when they ship and close the loop with whoever asked for it.

• Run 3 to 5 customer calls a week. Record them, write the notes, find the pattern.
• Own Intercom. You are the first response to every customer message, every day. This is where most of the signal lives.
• Collect every request from every channel into one place.

• Write and send release notes when we ship. Our users should never discover a feature by accident.
• Own downtime and incident communication. When something breaks, you tell people what happened and when it is fixed.
• Write and maintain our help docs.
• Update marketing copy and write blog pages as the product changes.
• Help us find users outside our current channel.

• Week 1. You listen. Sit in every internal call, read every Intercom thread, ask a huge amount of questions. Being annoying with questions is the job.
• Week 2. You shadow the founder. You answer Intercom with him reviewing, and write your first release notes.
• Week 3 to 4. Intercom is yours. You run your first customer calls.
• Month 2. The weekly priority list is yours.
• Month 3 and on. Help docs, marketing and blog open up.

Desirable skills

• You know Amazon FBA, online arbitrage, or e-commerce. If you have ever sold anything on Amazon, lead with that.
• You use AI tools every day. If you have run Claude Code in a terminal, say so, that is how we work here.
• You have written marketing copy, blog posts, release notes, or help docs before, and you can show us.
• You understand UX and can give a designer feedback that is actually useful.
• You can pull your own numbers. Basic analytics, a spreadsheet, or simple SQL, so you never wait on an engineer.
• You have run user interviews and turned them into something a team could act on.
• You can ship small UI and copy fixes yourself. Not features, just the small stuff.
• You have worked at an early stage startup, employee 1 through 10. You decide without being told.
• You have used Notion, Linear, or Intercom.

Conditions

• 100% remote, permanently. We have never had an office.
• A small team where your work is visible immediately. No layers.
• Direct access to the founder and to real customers from day one.
• Real ownership of an area, not a piece of someone else's process.

• USD $1,200 to $1,600 per month, based on experience.

Experience and Skills

• 3+ years in technical product management, including a product where the API itself was what customers bought
• You can read a spec and a payload, and work through endpoint design, auth, and versioning with engineers
• Experience in fintech, payroll, payments, or regulated transactional products
• Comfortable deciding on limited evidence: small customer base, early analytics, calls you make yourself
• Strong written English for specs, documentation, and partner conversations

Skills

• Product Management
• API Design
• REST APIs
• Integrations

Key Responsibilities

• Own the strategy, roadmap, and delivery for the API and its interface, end to end
• Define the API surface with engineering: endpoints, contracts, and versioning
• Get documentation, sandbox, and guides to the point where a developer can go live without our help
• Join partner technical calls, turn needs into scope, and separate product from custom work
• Shape the web experience clients use alongside the API, with the teams whose systems it touches
• Track what matters: activation, volume, time to first successful transaction, reliability

Nice to Have

• System Architecture
• API Documentation

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.

Los requisitos del cargo son:

• Conocimientos demostrables en analítica avanzada, sean por estudios o experiencia laboral.
• Manejo de Python, SQL y Git.
• Conocimiento de bases de datos relacionales
• Conocimiento de:
  • Procesamiento de datos (ETL)
  • Machine Learning
  • Feature engineering, reducción de dimensiones
  • Estadística y analítica avanzada

Tus responsabilidades serán:

• Recolectar, limpiar y organizar grandes volúmenes de datos provenientes de diversas fuentes, como bases de datos, archivos planos, APIs, entre otros. Aplicando técnicas de análisis exploratorio para identificar patrones y resumir las características principales de los datos, así como para entender el problema del cliente.
• Desarrollar modelos predictivos utilizando técnicas avanzadas de aprendizaje automático y estadística para predecir tendencias, identificar patrones y realizar pronósticos precisos
• Optimizar algoritmos y modelos existentes para mejorar la precisión, eficiencia y escalabilidad, ajustando parámetros y explorando nuevas técnicas
• Crear visualizaciones claras y significativas para comunicar los hallazgos y resultados al cliente, de manera efectiva
• Comunicar los resultados efectivamente, contando una historia para facilitar la comprensión de los hallazgos y la toma de decisiones por parte del cliente
• Diseñar y desarrollar herramientas analíticas personalizadas y sistemas de soporte para la toma de decisiones basadas en datos, utilizando lenguaje de programación como Python, R o SQL
• Trabajo colaborativo: colaborar con equipos multidisciplinarios para abordar problemas complejos y proporcionar soluciones integrales al cliente, además de participar en proyectos de diversa complejidad, asegurando la calidad de los entregables y el cumplimiento de los plazos establecidos.
• Investigar y mantenerse actualizado en análisis de datos, inteligencia artificial y metodologías para mejorar las capacidades analíticas, adquiriendo rápidamente conocimientos sobre diversas industrias y herramientas específicas

Algunos deseables no excluyentes:

Experiencia con:

• Herramientas de BI (Power BI o Tableau)
• Servicios cloud (Azure, AWS, GCP)
• Conocimiento de bases de datos no relacionales (ej: Mongo DB)
• Conocimiento en optimización

Algunos de nuestros beneficios:

• Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
• Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
• Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
• Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
• Medio día libre de cumpleaños, además de un regalito.
• Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
• Flexibilidad horaria y trabajo por objetivos.
• Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
• Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

Los requisitos del cargo son:

• Formación en Ingeniería Civil Industrial/Matemática/Computación, o carrera afín
• 1 a 2 años de experiencia laboral en:
  • Proyectos BI
  • Herramientas de visualización como PowerBI, Tableau, QikView u otros
  • Soluciones de BI en entornos cloud (ejemplo, Azure y Power BI Service)
  • Fuentes de datos (SQL Server, MySQL, API, Data Lake, etc.)
  • Desarrollo de queries en SQL
  • Desarrollo de modelos de datos para usos analíticos y programación de ETLs
• Inglés profesional

Tus responsabilidades serán:

• Recolectar y analizar datos de diversas fuentes para identificar patrones y tendencias. Extraer insights significativos para comprender el rendimiento presente y futuro del negocio.
• Crear modelos de datos adaptados a distintos proyectos y sectores.
• Crear y optimizar informes, paneles y cuadros de mando para una presentación efectiva de la información, utilizando herramientas de BI como Tableau, Power BI o QlikView.
• Identificar oportunidades de mejora de procesos mediante análisis de datos.
• Mantener y actualizar bases de datos para garantizar su integridad y calidad.
• Brindar formación y soporte al equipo en el uso de herramientas de Business Intelligence. Colaborar con equipos diversos para crear soluciones integrales. Entender las necesidades del cliente y proponer mejoras y soluciones proactivas.
• Monitorear modelos de data science y machine learning. Mantener la calidad de datos en flujos de información. Gestionar la seguridad y la escalabilidad de entornos cloud de BI.

Algunos deseables no excluyentes:

• Conocimiento de Python o R
• Manejo de Big Data en miras de establecer reportería

Algunos de nuestros beneficios:

• Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
• Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
• Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
• Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
• Medio día libre de cumpleaños, además de un regalito.
• Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
• Flexibilidad horaria y trabajo por objetivos.
• Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
• Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

Los requisitos del cargo son:

• Titulación en Ingeniería Civil Industrial, Ingeniería Industrial, Economía o áreas afines.
• Experiencia laboral mínima de 4 a 6 años en consultoría o roles relacionados.
• Dominio avanzado de herramientas de Office y/o Google.
• Pensamiento Analítico: Capacidad para analizar datos y extraer información significativa que respalde la toma de decisiones.
• Conocimiento profundo de diversas herramientas y soluciones digitales.
• Inglés fluido para comunicarse oralmente con los clientes.

Tus responsabilidades serán:

• Realizar investigaciones exhaustivas y análisis de información relevante para el proyecto.
• Desarrollar diagnósticos y proponer soluciones adaptadas a las necesidades específicas de cada cliente, utilizando un enfoque analítico y estratégico.
• Crear entregables innovadores y orientados a resultados, con un enfoque en la transformación digital.
• Aplicar rápidamente el aprendizaje adquirido de diversas industrias y herramientas para abordar los desafíos de cada cliente.
• Presentar de manera efectiva los hallazgos y resultados del proyecto, adaptándose a las necesidades de los stakeholders del cliente.
• Contribuir a la elaboración de propuestas para potenciales clientes, mediante un análisis detallado de la industria y la identificación de soluciones adecuadas.
• Construir y mantener relaciones sólidas con los clientes, actuando como un socio estratégico en su camino hacia el éxito.
• Apoyar al equipo en la planificación estratégica y en la transferencia de conocimientos y mejores prácticas.

Algunos deseables no excluyentes:

• Deseable experiencia en programación en Python y uso de herramientas de visualización como PowerBI o Tableau.
• Conocimiento o nociones de Data Science.

Algunos de nuestros beneficios:

• Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
• Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
• Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
• Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
• Medio día libre de cumpleaños, además de un regalito.
• Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
• Flexibilidad horaria y trabajo por objetivos.
• Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
• Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

Los requisitos del cargo son:

• Formación en Ingeniería Civil Industrial/Matemática/Computación, Física, Estadística, carreras afines, o experiencia equivalente en análisis avanzado de datos.
• Experiencia laboral de al menos 4 años en roles de análisis de datos, preferiblemente en industrias relevantes.
• Experto en Python, SQL y Git, con habilidades demostradas en el desarrollo de modelos analíticos y aplicaciones.
• Amplio conocimiento de bases de datos relacionales y no relacionales, así como experiencia en procesamiento de datos (ETL).
• Profundo conocimiento en machine learning, feature engineering, reducción de dimensiones, estadística avanzada y optimización.
• Inglés avanzado.

Tus responsabilidades serán:

• Análisis de Datos: Aplicar técnicas avanzadas de análisis exploratorio para comprender la estructura y características de grandes volúmenes datos, provenientes de diversas fuentes.
• Desarrollo de Modelos Predictivos Avanzados: utilizar técnicas avanzadas de aprendizaje automático y estadística para desarrollar modelos predictivos robustos que permitan predecir tendencias, identificar patrones y realizar pronósticos precisos.
• Optimización de Algoritmos y Modelos: dirigir la optimización de algoritmos y modelos existentes para mejorar la precisión, eficiencia y escalabilidad.
• Visualización y Comunicación de Datos: crear visualizaciones claras y significativas para comunicar los hallazgos y resultados de manera efectiva al cliente y a otros stakeholders clave.
• Desarrollo de Herramientas Analíticas: diseñar y desarrollar herramientas analíticas personalizadas y sistemas de soporte para la toma de decisiones basadas en datos, utilizando lenguajes de programación como Python, R o SQL.
• Gestión de Proyectos: liderar frentes de un proyecto relacionados al análisis de datos complejos, desde la conceptualización hasta la implementación, planificando estratégicamente los hitos y entregables acordados con los clientes.
• Investigación y Desarrollo Continuo: mantenerse actualizado en las últimas tendencias y avances en análisis de datos, inteligencia artificial y metodologías relacionadas. Compartir conocimientos y experiencias con el equipo para fomentar un ambiente de aprendizaje continuo.
• Contribución a Propuestas y Desarrollo de Negocios: colaborar en el desarrollo de propuestas internas para potenciales clientes, utilizando su experiencia y conocimientos para identificar oportunidades y diseñar soluciones innovadoras.
• Apoyar al equipo desde un rol de mentor, traspasando conocimientos y buenas prácticas, proporcionándole capacitación personalizada según las necesidades individuales de los miembros.

Condiciones

• Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
• Días de vacaciones adicionales a lo legal y medio día libre de cumpleaños. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
• Participación en el bono por desempeño de la empresa, además de bonos por trabajador referido y por cliente.
• Almuerzos quincenales pagados con el equipo (Chile) o Tarjeta de Alimentación (México).
• Cobertura de salud adicional (Mexico).
• Computadora de altos specs para trabajar cómodamente.
• Flexibilidad horaria y trabajo por objetivos.
• Posibilidad de participar en proyectos a nivel global, con intercambios con otros países con presencia del grupo.
• Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Ciudad de México).
• Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

Requerimientos del cargo

• Experiencia con SQL (consultas complejas, transformaciones, modelado)
• Conocimiento de Python para procesamiento y automatización de datos
• Familiaridad con conceptos de data warehousing o arquitecturas de datos en capas
• Capacidad de trabajar de forma autónoma en entorno remoto
• Interés genuino en el sector energético o en datos regulatorios

Funciones del cargo

• Desarrollar y mantener scrapers para fuentes regulatorias del mercado eléctrico (Coordinador, CEN, CNE, SEA)
• Automatizar la ingesta de datos desde portales públicos y APIs regulatorias
• Normalizar y cargar datos extraídos hacia la capa de almacenamiento en AWS
• Apoyar el mantenimiento de modelos de datos en capas Silver/Gold
• Documentar pipelines, fuentes y lógica de extracción
• Colaborar con el Analytics Engineer senior en el diseño y evolución de la arquitectura

Opcionales

• Experiencia con AWS (S3, Glue, Athena)
• Conocimiento del mercado eléctrico chileno (MCDP, licitaciones, tarifas)
• Experiencia con dbt o herramientas similares de transformación
• Familiaridad con herramientas de visualización (Metabase, Power BI, Looker)

Condiciones

• 100% Remoto, Residencia en Chile o disponiblidad para viajar a Santiago de Chile una vez al mes.
• Sueldo de mercado
• Equity (sujeto a condiciones)

Experience and Skills

• 8+ years of experience in risk management, underwriting, or credit analytics within fintech, lending, or specialty finance environments
• C1 English level or higher
• Proven track record building AI/ML-driven credit models, risk scorecards, and pricing frameworks
• Strong proficiency with Python, R, SQL, and Excel
• Deep expertise in risk-adjusted pricing, portfolio management, loss forecasting, and modeling techniques (regression, ML, ensemble methods, decision trees, neural networks)
• Experience managing and mentoring small, high-impact data or risk teams
• Solid understanding of cash-flow and alternative-data underwriting

Skills

• Python
• R
• SQL
• Machine Learning
• Credit Scoring
• Risk Management
• Predictive Modeling
• Underwriting
• Portfolio Management
• Loss Forecasting

Key Responsibilities

• Design, build, and maintain risk scorecards, credit underwriting models, and offer calculation engines using advanced AI/ML techniques
• Establish and lead the end-to-end risk management framework, including credit, operational, and portfolio risk strategies
• Develop and optimize risk-adjusted return strategies, loss forecasting, pricing optimization, and portfolio performance analysis
• Leverage alternative data sources, such as bank, cash flow, behavioral, and third-party data, to improve underwriting accuracy
• Partner with Product, Data, Engineering, and Finance teams to integrate ML models into fully automated decisioning workflows
• Build early-warning systems and real-time monitoring tools using machine learning to detect anomalies, fraud, and emerging risk patterns
• Lead, mentor, and review the work of a small team of data scientists while remaining directly involved in technical execution
• Deliver clear, data-driven reporting to internal stakeholders, board members, and capital partners while ensuring regulatory compliance

Nice to Have

• MLOps
• Model Deployment
• Alternative Data
• Automated Decisioning

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.

• At least 2 years of experience working with US based companies.
• Very high English proficiency (clear communication, strong writing, and the ability to collaborate effectively)
• At least 4 years of data engineering experience including experience with dbt and the modern data stack
• Product and user orientated.
• At least 12 months of experience working exclusively in an agentic coding environment (e.g., Claude Code, Codex)

• Leverage coding agents but also think through problems and review data independently of coding agents.
• Design, build, and maintain dbt pipelines for our analytics and operational workloads
• Build and maintain ETL/ELT processes to ingest data from multiple APIs and other external sources
• Set up and manage workflows in orchestration platforms such as Dagster
• Develop and refine data models to support analytics, reporting, and downstream products
• Diagnose and fix data quality issues (duplicates, missing fields, inconsistent formats, incorrect mappings, etc.)
• Implement robust data cleaning and validation checks
• Integrate LLM-based data enrichment (e.g., using OpenAI or similar APIs) to improve and complement event data
• Collaborate with our product and ops team to understand data needs and translate them into technical solutions

• Data / web scraping experience
• Practical experience integrating external enrichment workflows with LLMs while maintaining traceability and data validity
• Some experience with DevOps, CI/CD, and database management

• We provide a 100-200 USD Stipend for coding agents.
• High ownership of the codebase and the product

REQUIRED SKILLS & EXPERIENCE

• Minimum of 5 years of experience as a Data Engineer or in a similar role.
• Strong hands-on experience with Databricks and Apache Spark.
• Advanced SQL and Python skills.
• Experience working in cloud environments (Azure preferred).
• Solid understanding of data modeling, ETL/ELT processes, and data architecture concepts.
• Ability to work independently while collaborating with distributed teams.

KEY RESPONSIBILITIES

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
• Define data architectures that support batch and streaming processing.
• Integrate data from multiple sources, including databases, APIs, and cloud storage.
• Optimize data solutions for performance, reliability, and cost efficiency.
• Collaborate closely with data science, analytics, and business teams.
• Provide technical leadership and guidance on data engineering best practices.
• Translate complex Databricks architectures and data solutions into clear, business-friendly explanations for technical and non-technical audiences.
• Document data architectures, pipelines, and technical decisions.
• Support production systems and troubleshoot data-related issues as needed.

DESIRABLE SKILLS

• Experience designing enterprise-scale data platforms.
• Experience building, supporting, and scaling production-grade data pipelines in enterprise environments.
• Exposure to analytics, BI, or data science workloads.
• Familiarity with CI/CD practices for data engineering.
• Strong communication skills with both technical and non-technical stakeholders. Any certifications for Databricks or Apache are a plus.

BENEFITS

• Competitive salary
• Flexible work environment
• Opportunities for growth and certifications
• Inclusive and collaborative team culture
• Access to cutting-edge tools and technologies

Required Skills

Key Responsibilities

Preferred Skills

Adobe Launch / AEP Data Collection. Experience with Adobe Web SDK and Adobe Mobile SDK

Required Skills

• Strong JavaScript (ES6+) knowledge
• HTML5 and DOM manipulation
• JSON and nested object handling
• Understanding of event-driven architecture
• Ability to implement custom events and event listeners
• Comfort using browser developer tools to debug and validate behavior
• Experience with Adobe Client Data Layer (ACDL)
• Experience with data mapping and payload validation

Responsibilities

• Develop and maintain event-driven data layers
• Implement custom JavaScript events and tracking
• Build structured JSON payloads for analytics
• Collaborate with analytics and development teams
• Debug and validate tracking implementations
• Maintain documentation and tracking standards
• Support SPA tracking implementations

Preferred Skills

• Experience with analytics implementations
• SPA frameworks like React.js or Angular
• Knowledge of Adobe Analytics or tag management systems

Benefits

• 100% remote work environment
• Collaborative and supportive international team culture
• Fun and engaging team environment with strong camaraderie
• Exposure to a wide variety of digital projects and initiatives
• Birthday day off
• Opportunity to work within a highly dynamic retail digital ecosystem
• Continuous collaboration with experienced Scrum Masters and multidisciplinary teams

Experience and Skills

• 5+ years of experience in Marketing Analytics, Revenue Analytics, or a related field.
• C1 English level or higher.
• Proven experience building production-ready AI applications, agents, or automations (beyond simple prompting or using standalone tools).
• Demonstrated experience building AI-driven reporting and data preparation solutions.
• Strong working knowledge of multi-channel marketing reporting and campaign performance measurement.
• Working knowledge of Salesforce (SFDC) reporting structures, campaign hierarchies, and data quality practices.
• Hands-on experience with AI Agents, AI Application Development, Attribution Modeling, Data Automation, Campaign Measurement, Claude, automation.

Skills

• AI Agents
• AI Application Development
• Marketing Analytics
• Revenue Analytics
• Salesforce
• Attribution Modeling
• Data Automation
• Campaign Measurement
• Claude
• automation

Key Responsibilities

• Design, ship, and maintain production-ready AI agents and applications to automate marketing tasks, operational workflows, and campaign execution.
• Build and scale AI-driven reporting solutions that automate data preparation, analysis, narrative generation, and recurring business readouts.
• Own and evolve the marketing reporting ecosystem, connecting data sources such as Salesforce, Marketo, and Gong.
• Develop multi-channel attribution models to guide investment decisions and map the buyer journey.
• Translate complex analytical findings and AI outputs into clear, actionable business recommendations for leadership.
• Collaborate with Revenue Operations and marketing teams to align data definitions, reporting logic, and shared KPIs.

Nice to Have

• Claude Code
• n8n
• Zapier
• Make
• Power BI
• DAX
• Power Automate
• SQL
• APIs

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.

You bring:

• - 5+ years of data engineering experience with deep production expertise in Amazon Redshift or Redshift Serverless.
• - Advanced SQL and demonstrated query tuning on large datasets.
• - Hands-on experience with S3, Glue, Lambda, IAM, and Redshift Spectrum.
• - Experience with Airflow, dbt, Glue, or similar ETL/ELT tools.
• - C1 English and the ability to work independently with stakeholders.

You will:

• - Review the current Redshift setup and identify performance, cost, reliability, and design issues.
• - Tune distribution keys, sort keys, compression, queries, and Workload Management.
• - Build and maintain ETL/ELT pipelines using Redshift and the AWS data stack.
• - Improve analytics-ready data models and document the changes and operating practices.

Nice to have:

• Python, dbt, product analytics data pipelines, and experience in fintech or another regulated industry. These qualifications are optional.

Benefits

Contract: 1 to 2 weeks, full-time. Remote in LATAM, excluding Argentina and Brazil, with overlap with U.S. Eastern Time. Compensation starts at USD 25 per hour.

Experience and Skills

• Senior data engineer with 5+ years of data engineering experience and deep hands-on Amazon Redshift expertise.
• C1 English level or higher.
• Advanced SQL and proven query tuning experience on large datasets.
• Hands-on experience with Redshift Serverless, AWS S3, AWS Glue, AWS Lambda, AWS IAM, and Redshift Spectrum.
• Experience building ETL/ELT pipelines using Airflow, dbt, or similar tools.
• Hands-on experience with Workload Management, Data Modeling, Data Warehousing.

Skills

• Amazon Redshift
• Redshift Serverless
• SQL
• Query Tuning
• AWS S3
• AWS Glue
• AWS Lambda
• AWS IAM
• Redshift Spectrum
• ETL/ELT
• Airflow
• AWS
• ETL
• dbt
• Workload Management
• Data Modeling
• Data Warehousing

Key Responsibilities

• Review the current Redshift environment and identify performance, cost, reliability, and design issues.
• Design and tune tables, including distribution keys, sort keys, compression, and Workload Management configuration.
• Build and maintain ETL/ELT pipelines into Redshift using the AWS data stack and appropriate orchestration tools.
• Optimize slow queries and reduce provisioned or Serverless Redshift costs.
• Develop data models that support analytics and BI use cases.
• Document best practices, technical findings, and implemented changes.

Nice to Have

• dbt
• Python
• PostHog
• Segment
• Product Analytics
• Fintech
• Regulated Industries

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.

Requirements

We are looking for a senior-level data engineer who brings both hands-on Redshift depth and strong ownership. You should be comfortable working across Redshift provisioned or Serverless environments and implementing improvements end-to-end—from data modeling to pipeline orchestration and workload tuning.

• Experience: 5+ years in data engineering with deep, hands-on Amazon Redshift expertise.
• SQL: Advanced SQL and proven query tuning experience on large datasets.
• AWS ecosystem: Hands-on experience with Amazon Redshift Serverless, Amazon S3, AWS Glue, AWS Lambda, AWS IAM, and Redshift Spectrum.
• ETL/ELT & orchestration: Experience building ETL/ELT pipelines using Apache Airflow, dbt, or similar tooling.
• Warehouse practices: Practical experience with Workload Management, data modeling, and data warehousing.
• Communication: C1 English level or higher.

We value ownership and clarity. You should be able to independently investigate issues, propose solutions, and communicate trade-offs to stakeholders. We also value structured documentation, strong engineering judgment, and a reliability mindset—designing changes that improve performance and resilience without creating operational risk.

Bonus: Experience in fintech or other regulated data environments is valuable, especially when designing for governance, traceability, and consistent data quality.

Key Responsibilities

We will need a Senior Data Engineer with deep Amazon Redshift expertise to take ownership of the performance and reliability roadmap for the data warehouse. You will assess the current Redshift landscape, diagnose bottlenecks, and implement optimizations that directly improve query latency, system stability, and cost efficiency.

• Review the current Redshift environment and identify issues related to performance, cost, reliability, and data model design.
• Design and tune warehouse structures, including distribution keys, sort keys, compression strategy, and Workload Management (WLM) configuration.
• Build and maintain robust ETL/ELT pipelines loading data into Redshift using the AWS data stack and appropriate orchestration (e.g., Airflow).
• Optimize slow queries and continuously reduce provisioned or Serverless Redshift costs without sacrificing reliability.
• Develop and evolve data models that support analytics and BI use cases, ensuring query-friendly structures and consistent semantics.
• Document technical decisions, findings, and implemented changes so the team can reuse patterns and maintain long-term maintainability.

We will expect you to operate independently with stakeholders, translating business and analytics needs into practical technical improvements with measurable outcomes within a short-term engagement.

Nice to Have

• Experience improving Redshift concurrency and workload isolation beyond basic tuning (e.g., advanced WLM strategies).
• Track record of reducing warehouse costs through architecture and query improvements while maintaining SLAs.
• Experience working with regulated datasets (fintech, payments, or similar), including strong data handling and documentation habits.
• Proficiency with additional AWS analytics services that complement Redshift pipelines (e.g., streaming/real-time patterns) and strong CI/CD practices for analytics code.

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.

We will also provide strong administrative support infrastructure so you can focus on delivering exceptional results.

Requirements:

• 8+ years of experience as a Data Engineer.
• Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
• Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.
• Experience designing complex data pipelines extracting data from RDBMS, JSON, API, and Flat file sources.
• Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift
• Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
• Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
• Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.
• Effective oral and written English communication skills with BI team and user community.

Responsibilities:

• Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
• Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
• Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
• Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
• Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
• Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
• Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
• Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.

Pluses:

• Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows.
• Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization.
• Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.

We offer:

• Remote work opportunity!
• B2B Employment ($, gross).
• Stable job with long-term growth perspective with talented people around.
• Really good hardware.
• Great learning and growth opportunities.
• Compensation for professional training, seminars, and conferences.
• Referral program – get rewarded for helping us grow the team with talented people.
• Company-supported English classes to enhance your professional growth.

Experience and Skills

Key Responsibilities

Nice to Have

Benefits

Experience and Skills

• 10+ years in technology with at least 5 years in senior technical leadership roles (CTO, VP Engineering, Chief Architect)
• Deep expertise in fintech, digital banking, or regulated financial services platforms
• Experience working with Peruvian financial regulations (SBS), SUNAT, RENIEC, Infocorp, Sentinel, and other relevant industry stakeholders is highly preferred
• Track record leading engineering teams of 30+ people in high-growth environments
• Proven experience building and scaling credit or payment platforms in production
• Production experience with: Node.js, TypeScript, Vue 3, Nuxt 3, MongoDB, Apache Fineract
• Advanced AWS proficiency: ECS, Lambda, RDS, S3, VPC, IAM, CloudFormation/CDK, CloudWatch
• Hands-on mastery of: microservices architecture, event-driven architecture, API-first design, cloud-native patterns
• Practical application of AI/ML for risk prediction: LLMs (Claude/OpenAI), automation (n8n), predictive risk models
• Strong foundation in cybersecurity: NIST CSF 2.0, OWASP, identity management, data protection

Skills

• Software Architecture
• Microservices
• Event-driven Architecture
• API-first
• Cloud-native
• Node.js
• TypeScript
• Vue 3
• Nuxt 3
• MongoDB
• Apache Fineract
• AWS
• ECS
• Lambda
• RDS
• S3
• VPC
• IAM
• CloudFormation
• CDK
• CloudWatch
• Fintech
• Credit Models
• Credit Scoring
• SBS Regulation
• Open Banking
• IA/ML
• Predictive Risk Models
• LLMs
• Claude
• OpenAI
• n8n
• Cybersecurity
• NIST CSF 2.0
• OWASP
• Identity Management
• Data Protection
• Product Roadmap
• OKRs
• DORA Metrics
• Agile
• Scrum
• DevSecOps
• CI/CD
• SRE

Key Responsibilities

• Define and execute multi-year technology strategy aligned to business growth in Peru's fintech capital markets
• Own platform architecture: microservices on AWS with Node.js/TypeScript backend and Vue 3/Nuxt 3 frontend
• Lead 40-person technology organization through direct reports (IT Manager) and matrixed Tech Leads
• Ensure system availability, security posture, and scalability for loan origination and credit management systems
• Drive product roadmap including integrations with SUNAT, Infocorp/Sentinel, RENIEC and digital channels
• Establish engineering standards: software quality, QA processes, DevSecOps practices and regulatory compliance
• Evaluate and deploy emerging technologies: AI/ML for credit scoring, LLM-powered automation and data analytics
• Manage annual technology budget across AWS infrastructure ($10K/month), SaaS licenses and headcount

Nice to Have

• AWS Solutions Architect
• TOGAF
• PMP
• CISSP
• Digital Banking
• Credit Platforms
• Payment Platforms
• SUNAT
• RENIEC
• Infocorp
• Sentinel
• HubSpot
• WATI
• Payment Gateways

Qualifications and requirements

• Strong professional experience with React, Next.js, TypeScript and modern JavaScript.
• Experience building and debugging production web applications and customer-facing user flows.
• Ability to investigate difficult issues across frontend code, APIs, backend services, browser behavior and third-party integrations.
• Node.js experience and an understanding of REST APIs, databases, authentication and server-side application behavior.
• Experience writing automated tests, preferably with Playwright or another end-to-end browser-testing framework.
• Experience with product analytics, session replay, error tracking or production-monitoring tools.
• Practical Linux, Docker, Git and CI/CD experience.
• Experience working with e-commerce applications, carts, checkout flows, payments or related integrations.
• Regular, effective use of AI development tools such as Codex, Claude Code, Cursor or similar systems.
• Ability to understand, test and verify AI-generated work rather than accepting it without review.
• Strong problem-solving, written communication and documentation skills.
• Able to work independently while communicating clearly with a small founder-led team.
• Fluent professional English.
• Available approximately 40 hours per week with at least four daily hours overlapping Eastern Time.
• Comfortable beginning with a paid technical trial before transitioning into a long-term role.

Job functions

• Diagnose and fix production React, Next.js and TypeScript bugs affecting storefront reliability and conversion.
• Investigate cart, checkout, promotion, mobile and browser-session failures.
• Improve PostHog event tracking, funnels, session replay, error monitoring and alerts.
• Build Playwright end-to-end tests for critical customer journeys and configure BrowserStack coverage.
• Develop and maintain frontend features, backend services and third-party integrations.
• Help manage Linux servers, Docker environments, CI/CD pipelines, networking and cloud infrastructure.
• Support GPU machines, locally hosted AI models and internal AI coding-agent workflows.
• Use AI development tools effectively while reviewing, testing and understanding all resulting code.
• Document root causes, technical decisions and regression coverage.
• Work directly with the founders to prioritize and deliver improvements.

Success will be measured by fewer production regressions, faster issue resolution, stronger automated test coverage, more reliable analytics and demonstrable improvements to customer experience and conversion.

Desirable skills

• Medusa.js or another headless-commerce platform.
• PostHog funnels, event design, session replay, feature flags or experiments.
• BrowserStack, Sentry or comparable testing and monitoring platforms.
• Python development and automation.
• GPU server administration, NVIDIA/CUDA environments or containerized GPU workloads.
• Deploying or managing self-hosted AI models with tools such as vLLM, Ollama or similar inference systems.
• Experience with coding agents, MCP tools or multi-agent development workflows.
• Cloud infrastructure, networking, observability and secrets management.
• Railway, Cloudflare, PostgreSQL, Redis or comparable services.
• Buildkite, GitHub Actions or other CI/CD platforms.
• Payment, shipping, tax, inventory, age-verification or other e-commerce integrations.
• Performance optimization, Core Web Vitals and conversion-rate optimization.

Experience and Skills

• At least 5 years of experience building and operating GTM, growth, revenue, or commercial automation systems.
• Demonstrated ownership of GTM systems, including measurable commercial results, troubleshooting, and system improvements.
• Hands-on experience with Python or JavaScript, SQL, APIs, and webhooks.
• Experience using Git and automated or repeatable testing practices.
• Practical experience integrating LLMs into production or operational workflows.
• Ability to evaluate AI output quality, cost, speed, failure modes, and appropriate human review points.
• Experience designing and running commercial experiments with clear hypotheses, audiences, budgets, success metrics, and review dates.
• Strong commercial judgment regarding customer relevance, opportunity quality, and outreach effectiveness.
• Ability to build, maintain, monitor, and troubleshoot integrations and automated workflows.
• Confident written and verbal communication in English.
• Ability to work independently in ambiguous environments, follow through after launch, and document systems for others to operate.
• Hands-on experience with REST APIs, Automated Testing, AI Evaluation, Workflow Automation, Experimentation, Data Quality, Monitoring, Cost Optimization.

Skills

• GTM systems you’ve built and operated. You can show your contribution
• the commercial result
• what broke and how you fixed it. Hands-on engineering. You write Python or JavaScript
• work with SQL
• JavaScript
• SQL
• REST APIs
• Webhooks
• Git
• Automated Testing
• AI Evaluation
• Workflow Automation
• Experimentation
• Commercial Analytics
• LLMs

Key Responsibilities

• Identify companies with relevant hiring signals by connecting market data, customer records, and Hiring OS activity.
• Maintain reliable account information and determine whom to contact and when based on signals such as open roles and team expansion.
• Build systems for account research, qualification, relevant outreach, and follow-up.
• Use AI in outreach and research workflows with quality controls, clear human handoffs, and appropriate monitoring.
• Build and maintain API integrations, webhooks, and workflow automations.
• Handle failures, improve observability, and keep workflows reliable and easy to operate.
• Protect customer and candidate information and manage API and execution costs.
• Find bottlenecks, prioritize experiments, measure results, and stop ineffective approaches.
• Turn successful experiments into repeatable systems that generate new and repeat hiring processes.
• Establish performance baselines and track hiring processes started, conversion rates, cost per process, and workflow reliability.
• Collaborate with Growth Owners and cross-functional teams to improve opportunity quality and commercial outcomes.
• Document system decisions, tradeoffs, operating procedures, and results.

Nice to Have

• US Technology Buyers
• Hiring Platforms
• Sales Operations
• Recruiting Technology
• Workflow Automation Tools

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.

You bring:

- 5+ years of professional engineering experience.

- Multiple hands-on PostHog implementations in production.

- Strong React, JavaScript or TypeScript, and server-side event experience.

- Deep knowledge of product analytics, identity resolution, funnels, cohorts, and retention.

- C1 English and the ability to deliver independently within a fixed timeline.

You will:

- Define the event, property, identity, and group analytics model.

- Install and configure PostHog across frontend and server-side services.

- Build dashboards, funnels, cohorts, retention views, session replay, feature flags, and experiments within scope.

- Protect personal and financial data through privacy controls and masking.

- Validate production data quality and document the implementation for the internal team.

Nice to have:

.NET or C#, PostHog data warehouse features, Redshift or Snowflake, Segment, and regulated-industry experience. These qualifications are optional.

Contract

Contract: 1 to 2 weeks, full-time. Remote in LATAM, excluding Argentina and Brazil, with overlap with U.S. Eastern Time. Compensation starts at USD 20 per hour.

Requirements:

• Senior-level engineer with 4+ years of professional experience.
• Proven hands-on experience implementing PostHog in production on multiple projects.
• Strong full-stack development experience with React, JavaScript, TypeScript, and server-side events.
• Solid knowledge of product analytics, event tracking, identity resolution, funnels, cohort analysis, and retention analysis.
• Experience configuring session replay, feature flags, A/B testing, and PII protection.
• Hands-on experience with .NET, Redshift, Snowflake, User Identification, Group Analytics, Data Privacy.

Key Responsibilities:

• Run a focused discovery with stakeholders and define the key events, funnels, dashboards, and outcomes required for the engagement.
• Create and document the tracking plan, including event names, properties, user identification, and group analytics where applicable.
• Install and configure PostHog SDKs across the frontend and backend, including anonymous-to-authenticated identity resolution.
• Build core dashboards, funnels, cohort views, and retention analyses for product and business stakeholders.
• Configure session replay, feature flags, and A/B tests within scope, while masking sensitive personal and financial data.
• Validate production data quality and provide documentation covering the tracking plan, event creation process, dashboard ownership, and ongoing maintenance.
• Work independently within a fixed one- to two-week delivery window and complete a structured handoff.

Nice to Have

• Experience with fintech products or sensitive financial data.
• Experience with other analytics tools (Mixpanel, Amplitude, Segment).
• Background in consulting-style, short-cycle engagements with structured handoffs.
• Fluent English for working with U.S.-based stakeholders.

Benefits

100% remote, a short and well-defined project (1–2 weeks), full-time engagement, and direct work with product and business stakeholders.

Requerimientos del cargo

• Ingeniería Civil en Informática/Computación, o experiencia equivalente que la respalde.
• Entre 3 y 5 años de experiencia como software engineer o fullstack construyendo y manteniendo productos en producción.
• Sólido manejo de backend y frontend: Node.js / TypeScript, React y bases de datos relacionales (SQL / PostgreSQL).
• Experiencia diseñando y consumiendo APIs e integraciones con servicios de terceros.
• Comodidad con infraestructura cloud y despliegues (GCP, Vercel o similares).
• Mentalidad de producto: foco en el usuario y en el negocio, entendiendo el "por qué" detrás de cada desarrollo.
• Orientación a resultados y toma de decisiones basada en datos.
• Buena comunicación, priorización y trabajo autónomo en un equipo remoto.
• Mentalidad AI First: usas herramientas de IA de forma activa en tu trabajo diario.

Funciones del cargo

• Detectar oportunidades de impacto: colaborar de cerca con growth, operaciones, comercial, farmacia y data para entender sus problemas y traducirlos en iniciativas técnicas que muevan las métricas del negocio.
• Proponer y priorizar iniciativas: levantar hipótesis, dimensionar impacto y esfuerzo, y defender qué vale la pena construir (y qué no).
• Desarrollar end-to-end: diseñar, construir, testear y desplegar features y servicios completos — frontend, backend e integraciones — tomando responsabilidad por el resultado en producción.
• Escalar la plataforma: mejorar arquitectura, rendimiento y confiabilidad para soportar el crecimiento en usuarios, pedidos y complejidad operativa.
• Construir y mantener integraciones: con medios de pago, farmacias, logística y proveedores de datos, asegurando calidad y trazabilidad.
• Medir el impacto: instrumentar features con analytics, monitorear su desempeño e iterar con datos reales.
• Diseñar y ejecutar experimentos: prototipar rápido, correr pruebas A/B y validar ideas antes de invertir en soluciones definitivas.
• Colaborar y documentar: trabajar transversalmente con producto, diseño y tecnología, y dejar decisiones claras para que el equipo escale.

Opcionales

• Experiencia con herramientas de analítica y experimentación (PostHog, Google Analytics), instrumentación de métricas de producto y cultura de A/B testing.

Condiciones

• Ser parte de una startup innovadora que está transformando la salud en Chile, y con un propósito ligado al bienestar de todos.
• Impacto real: lo que construyas llega directo a los usuarios y a las métricas del negocio.
• Cultura dinámica, colaborativa y horizontal.
• Trabajar con equipo orientado en nuestros valores, diversidad, comunicación y energía.

• Trabajo 100% remoto desde cualquier lugar de Chile
• 1 semana adicional de vacaciones al año
• Seguro complementario
• Equipo de trabajo provisto por Búho
• Presupuesto para herramientas de IA
• Encuentros presenciales con el equipo
• Día de cumpleaños libre en el mes de cumpleaños
• Bono por vacaciones

Role Description Defense Unicorns gets mission-critical software to the warfighter faster and more securely. Revenue Operations is what keeps the go-to-market team moving at that speed without losing track of the details. As Director of Revenue Operations, you own the systems, data, and processes our sales, solutions architecture, and customer success teams rely on every day. This is a hands-on role, not a reporting desk. You will sit close to revenue leadership and the deals themselves, from first pipeline through close, renewal, and expansion, and you will bring order to a fast-growing environment without getting in its way. Responsibilities CRM and Revenue Systems Own HubSpot as primary administrator: data integrity, pipeline hygiene, and adoption across the go-to-market team. Maintain the deal pipelines (Direct Opportunities, Competitive Solicitations, Renewals) with consistent stages, required fields, and automation. Manage integrations between HubSpot and the tools around it (Slack, Google Workspace, Notion, LinkedIn Sales Navigator, and others). Keep deal data clean and usable: naming conventions, MEDDPICC qualification fields (Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, Competition), D&F dates, DRB data, product feature tags, and ARR calculations. Pipeline Analytics and Forecasting Run the quarterly forecast process between sellers and revenue leadership, and surface where coverage is thin and where the upside is. Maintain forecast models built on pipeline stage, PWIN, deal velocity, and past conversion rates. Give leadership the analytics they need at the deal and portfolio level: coverage ratios, pipeline aging, and win/loss patterns. Flag pipeline and deal risk early, before it shows up in the number. Go-to-Market Process Work with sales and solutions architecture leadership to document and sharpen the sales process, from qualified opportunity through Focused Discovery, Deal Review Board (DRB), scoping, proposal, and close. Set up lead routing, territory and account assignment, and clean handoffs between sales and marketing. Run the cadence for pipeline reviews, QBRs, and annual planning. Support competitive solicitations: opportunity tracking, bid/no-bid analysis, and capture management. Quoting, Pricing, and Revenue Tracking Run deal desk operations covering pricing, discounting, contract structure, and approvals. Maintain SKU-level pricing across UDS Premium, Application Licenses, Edge Node Licenses, Software Factory, SRE Operations, PaaS, and training and services. Work with Finance on bookings recognition, ARR tracking, and revenue reporting. Enablement and Adoption Improve CRM adoption and data quality through training, clear documentation, and follow-through. Build the playbooks, templates, and automation that take busywork off sellers and solution architects. Get new revenue team members up to speed on the systems and the process. What Success Looks Like Leadership trusts the pipeline and forecast numbers in weekly Huddles and QBRs because there is one place to find them. The sales team follows one documented process, and so does solutions architecture. The forecast lands within an agreed tolerance quarter after quarter, with risk flagged early. Deals move from quote to close faster, without cutting corners on approvals. Preferred Experience and Qualifications 7+ years in revenue operations, sales operations, or business operations, ideally in GovTech. Hands-on HubSpot experience (Sales Hub, Operations Hub), including workflow automation, custom objects, and reporting. Track record of standing up sales processes in high-growth companies with long, multi-stakeholder deal cycles. Comfortable building pipeline models, forecasts, and the dashboards leadership actually reads. Deal desk or CPQ experience, including pricing and approval workflows. Familiarity with a structured qualification methodology like MEDDPICC, and the discipline to make it stick in the CRM. Strong cross-functional communicator who works well with sales, finance, legal, and product. Self-directed, and at home in a remote-first company with little hierarchy. Background in defense technology, GovTech, or selling to the U.S. Department of Defense. Working knowledge of government procurement (competitive solicitations, contract vehicles, FAR/DFARS). Exposure to product-led and open-source go-to-market models. Experience across both direct and channel/partner sales. Some exposure to solutions architecture or technical pre-sales. A consulting or advisory background (management consulting, GTM/RevOps advisory, Big 4, or a boutique strategy firm) is a real plus. We like operators who can take an ambiguous problem, give it structure, and get it done across a lot of stakeholders. Compensation & Benefits We offer competitive pay, meaningful equity, and full benefits. [Insert salary range; required for postings in several states.] Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. The listed responsibilities are not exhaustive; additional responsibilities may be assigned based on the evolving needs of the organization. Travel Expectations: 4 to 12 times per year (sales training and participation activities)Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. Remote - USA$204,000—$276,000 USDWho We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On Kubernetes Cloud Environments (AWS/GCP and Azure) Infrastructure-as-code (like Terraform/Pulumi) Continuous Delivery and automation tooling GitOps Containers CNCF projects and open source products and packages Helm/Kustomize-Value Stream Mapping Building and improving security delivery Building Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: Medical/Dental/Vision Premiums are 100% Company Paid Health Savings Account Life Insurance Disability Insurance Financial: 401k Retirement Plan Company Stock Options Home Office Budget Leave: We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s Paid Parental Leave Learning: Reimbursement for approved trainings/subscriptions Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. CCPA DISCLOSURE

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