About HiredBuddy

At HiredBuddy, we connect domain specialists and subject-matter experts with leading AI research labs to shape and train the next generation of artificial intelligence. We focus on high-quality data annotation, RLHF (Reinforcement Learning from Human Feedback), and model evaluation across various domains, ranging from STEM and software engineering to linguistics and data science.

Position Overview

We are seeking a detail-oriented, highly analytical Junior Data Analyst based in the United States to join our growing remote team. In this role, you will play a crucial part in monitoring dataset quality, analyzing annotator performance metrics, optimizing labeling pipelines, and delivering insights that improve our AI training data pipelines.

This is an ideal role for an early-career analyst passionate about the intersection of data, machine learning, and AI operations.

Key Responsibilities

• Data Quality Assurance: Audit, clean, and validate large datasets generated by our network of AI trainers and domain experts to ensure high precision and adherence to guidelines.
• Performance & Metrics Tracking: Analyze annotator accuracy, turnaround times, and throughput using SQL, Python, and BI dashboards to help optimize operations.
• Pipeline Optimization: Collaborate with cross-functional teams (Operations, AI Specialists, and Product) to identify bottlenecks in data labeling pipelines and recommend data-driven solutions.
• Reporting & Dashboards: Build, maintain, and update daily/weekly operational reports and dashboards for internal stakeholders and client leads.
• Guideline Calibration: Analyze edge cases and error patterns in dataset outputs to help refine project annotation instructions and rubrics.

Qualifications & Skills

• Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, or a related quantitative field (or equivalent practical experience).
• Technical Skills:
• Proficiency with SQL for data querying, aggregation, and analysis.
• Practical knowledge of Python or R for data manipulation (e.g., Pandas, NumPy).
• Experience with visualization tools like Tableau, Power BI, or Looker.
• Advanced Excel / Google Sheets skills (Pivot tables, VLOOKUP/XLOOKUP, complex formulas).
• Analytical Mindset: Strong problem-solving skills with a high degree of attention to detail when working with complex datasets.
• Communication: Ability to clearly translate data findings into actionable insights for non-technical team members.
• Work Authorization: Must be legally authorized to work in the United States.

Nice-to-Haves

• Familiarity with AI/ML concepts, data annotation workflows, or RLHF (Reinforcement Learning from Human Feedback).
• Prior experience or internship experience in an operations-focused analyst role.

What We Offer

• 100% Remote Flexibility: Work from anywhere in the US.
• Cutting-Edge Industry Exposure: Gain hands-on experience at the forefront of AI model training and evaluation.
• Growth Opportunities: Direct mentorship and opportunities to advance within a fast-growing tech environment.
• Competitive Compensation: Hourly/Salaried rate commensurate with experience.

About the Role

We're hiring a Senior ML Engineer to be the data team's owner of production ML and AI agent systems. You'll take models from prototype to production, build and maintain the low-latency ML API that powers our Next Best Action (NBA) engine, and partner with our HAL team to ship LLM agents that turn NBA recommendations into real conversations with credit union members and partners. This is a builder's role at a builder's moment: NBA is going live, the agent infrastructure is being shaped now, and you'll define how Clutch does production AI for years to come.

About the Team

The Data team today is five people: one data scientist, two data engineers, one data analyst, and one product manager. We're small, ambitious, and shipping fast — two ML models heading to production, an ML API being built, and two AI agents (one customer-facing, one partner-facing) in active development. You'll be the senior technical voice for ML and AI engineering inside the team, and the bridge to HAL, the platform team that builds Clutch's agent runtime. Expect tight feedback loops, real autonomy, and a team that values pragmatism over purity.

What You’ll Do

Within 3 months, you will:

• Take ownership of the ML API that serves NBA recommendations, partnering with the data engineer who's been building it, and harden it for low-latency production traffic

• Ship your first agent tool contract end-to-end: schema design, handler implementation, structured-error contract, unit tests, deployed via HAL's runtime

• Set up the eval foundation for our agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change

• Build a working relationship with HAL and become the data team's go-to on agent infrastructure decisions

Within 6 months, you will:

• Be the primary owner (with data engineer support) of the ML API and the agent tool layer that wraps NBA and our ML models

• Have shipped at least one production-grade agent (customer-facing or partner-facing) with prompt versioning, evals, observability, and multi-tenant gating in place

• Define the data team's playbook for shipping a new ML model as an LLM-callable tool, end-to-end

• Mentor the data engineers on ML/AI patterns so they can confidently support and extend the systems you own

Within 9 months, you will:

• Operate as the technical lead within the data team for NBA production AI at Clutch — the person other teams come to when they want to understand how NBA ships ML and agents responsibly

• Have measurably improved agent cost and latency (target: 30%+ reduction on P95 latency or per-conversation cost on at least one agent)

• Be shaping the data team's roadmap for the next generation of ML and AI products, in partnership with the PM and data scientist

• Help us decide what to hire next as the team scales

What You’ll Bring

Required

• 7+ years of engineering experience, with a proven track record of building and shipping production ML systems — you've taken models from prototype to production and own what happens after deploy

• Strong Python — most of the work (ML training, evaluation, the ML API, data pipelines) is in Python, and you're comfortable in production codebases, not just notebooks. Some TypeScript is involved for tool contracts and integration with our agent runtime — you don't need to be an expert, comfort with a second language is enough

• Tool-design discipline for LLM consumption. Can take an ML model or data source and shape it into an LLM-callable tool with narrow input/output schemas, identity-required and scope-gated dispatch, and structured-error contracts (RATE_LIMITED, UPSTREAM_ERROR, NOT_FOUND) that the agent runtime converts to graceful tool-results instead of crashing

• Eval discipline for non-deterministic systems. You treat evals as the unit-test equivalent for agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change. You understand the difference between offline metrics and online evals, and use both

• Prompt-shape literacy. You read a system prompt the way another engineer reads code: audience, register, compliance guardrails, template-var allow-list, allowed-tools section. You debug "why did the agent do that?" by reading the prompt and tool descriptions before reaching for model swaps. You've shipped at least one agent where the prompt was version-controlled and reviewed as code

• Tool implementation rigor. You build handlers behind tool contracts with identity fields read from request context (never from LLM-supplied args), output re-parsed through the tool's schema before return, structured-error throws on every failure path, and unit tests covering both happy path and each named error. You have a story about a tool you shipped, a bug production traffic surfaced, and how you hardened it

• Experience building and maintaining low-latency production APIs (FastAPI, BentoML, or equivalent), with opinions on serving, batching, and caching

• Comfortable in AWS (Lambda especially), Docker, and GitHub-based workflows

• You use AI tooling actively in your engineering workflow — not as a novelty, but as a default. You'll be expected to demonstrate this during the technical evaluation

Desired

• Production agent observability: reading audit rows, distributed traces, per-tool latency and error metrics

• Cost and latency tradeoff intuition in agent loops — has measurably reduced per-conversation cost or P95 latency on a live agent

• Familiarity with an agent runtime framework (Vercel AI SDK, LangChain, LlamaIndex, or equivalent)

• Multi-tenant agent gating experience

• Prior SaaS and/or FinTech experience

• Nice to have but not required: Databricks, PySpark, Terraform

Please note that this role may evolve as our business needs change, so we appreciate your flexibility and adaptability.

What’s In It For You?

• Remote Flexibility: Enjoy the freedom of remote work from anywhere, balancing life and career seamlessly.

• Unforgettable Off-Sites: Twice a year, bond with colleagues in exciting destinations, fostering teamwork and fresh ideas.

• Paid Time Off and National Holidays: Enjoy 20 PTO days yearly and the National Holidays for relaxation and rejuvenation.

• Stock Options: Joining us means having a stake in our success, so you'll receive stock options as part of your compensation package.

• Home Office Setup: Create your ideal workspace with a dedicated budget for home office essentials.

• Work Trip Budget: Grow personally and professionally with a budget for work-related trips and co-working.

About Us

Clutch is a revolutionary vertical SaaS company, proudly backed by Andreessen Horowitz (A16z), aimed at revolutionizing the way Credit Unions engage and change the lives of their members. As a champion of financial well-being, we address the urgent need for affordable lending solutions in an era where the average American grapples with over $155,000 in household debt.  Unlike traditional financial institutions, Clutch develops software to turn Credit Unions into FinTech lenders and leverage their balance sheets to responsibly lend to over 130M Americans. Our mission extends beyond mere financial transactions; we strive to fundamentally enhance the way credit unions interact with their members. By integrating cutting-edge technologies and user-centric designs, we help credit unions provide seamless digital experiences that are on par with leading tech companies. This approach not only preserves but revitalizes the longstanding tradition of community and member-focused service inherent to credit unions.

Please note: This position is offered on a contractor basis. Applicants must have the necessary documentation and authorization to work in the country where the job is located. Clutch cannot provide sponsorship or assist with obtaining work permits for this role.

Sobre a Neon

Na Neon, cada ideia conta e pode transformar a vida financeira de milhares de brasileiras e brasileiros que acreditam que o céu é o limite. Buscamos pessoas que querem contribuir com impacto real e crescer junto com a gente!

Nosso ritmo é intenso, assim como o aprendizado com gente muito talentosa e equipes colaborativas que geram impacto real desde o primeiro dia, com o bônus de trabalhar de qualquer lugar do Brasil.

Aqui a inovação e tecnologia andam juntos e diversidade é decisão estratégica do negócio e compromisso que molda nossas decisões e garante um ambiente acolhedor para todas as pessoas.

Valorizamos a colaboração, o diálogo aberto e entregas que compreendam as necessidades das pessoas que usam nossas soluções.Se você é uma pessoa que gosta de construir, testar, aprender e se comprometer com a excelência, a Neon é pra você.

Vem fazer parte de um time que não tem medo de sonhar grande e trabalha junto para elevar a barra todos os dias, fazendo o dinheiro fluir e o mundo crescer. Vem #ViverNoAzul!

• Desenhar e liderar a estratégia macro de envio e entrega de cartões, mapeando e mitigando gargalos críticos na cadeia para garantir eficiência de custos (savings) e a maximização da taxa de ativação, além de identificar as principais alavancas para o engajamento do cliente, para além do crédito, e como influenciá-las.
• Atuar de forma autônoma na modelagem e extração de grandes volumes de dados complexos via SQL, transformando dados brutos em direcionamentos estratégicos que guiem o roadmap de crescimento do produto.
• Desenvolver, validar e defender estudos de viabilidade financeira complexos perante a liderança, conectando as iniciativas de produto diretamente a indicadores de saúde do negócio como LTV, CAC e controle de churn.
•  Implantar, estruturar e disseminar o framework de testes de ponta a ponta, elevando o nível técnico das das nossas análises e garantindo solidez nas conclusões e recomendações.
•  Desenhar e garantir a governança de painéis de performance (KPIs) voltados para a alta liderança, traduzindo métricas e análises técnicas em narrativas de negócios claras e acionáveis.
• Arquitetar soluções de automação para os processos de coleta e tratamento de dados, garantindo que as análises recorrentes operem com o máximo de agilidade, precisão e autonomia.
• Atuar como o principal elo estratégico entre as tribos de produto, operações e a liderança sênior (C-level), comunicando estratégias complexas de forma persuasiva, alinhando expectativas e destravando barreiras.

• Capacidade Analítica e Resolução de Problemas demonstrada na habilidade para estruturar problemas complexos, mensurar impactos com clareza e desdobrá-los em planos de ação priorizados.
• Domínio Avançado de SQL com experiência consolidada em extração, manipulação e modelagem de dados complexos para suporte à tomada de decisão
• Visão de Negócio e Unit Economics trazendo forte entendimento de P&L (Lucros e Perdas) e das principais alavancas de resultado financeiro, conectando métricas de produto à sustentabilidade do negócio.
• Cultura de Experimentação e Estatística focada em vivência prática no desenho, execução e análise estatística de Testes A/B e outras metodologias de experimentação
• Liderança por Influência com perfil autônomo, proativo e resiliente, além de habilidade para engajar e alinhar times multidisciplinares sem dependência de autoridade formal
• Pensamento Estratégico focado em visão de longo prazo aliada à capacidade de execução no curto prazo, garantindo consistência nas entregas

Se vier fazer parte da Neon

É importante:

• Adaptabilidade para lidar com diferentes cenários e desafios em um ambiente dinâmico

• Foco em resultados, com habilidade para priorizar o que gera mais impacto

• Autonomia e colaboração para trabalhar de forma produtiva no modelo remoto

E o que você vai encontrar aqui?

• Modelo de trabalho remoto de verdade, com encontros de time a cada 3 meses em São Paulo. Também tem crédito para compra de Kit Home Office e parceria para uso de coworkings;

• Cartão iFood Benefícios - você personaliza seu pacote com benefícios de vale alimentação e refeição e mobilidade;

• Gympass, com rede de academias e aulas online;

• Apoio à parentalidade com auxílio creche ou babá e Licença parental estendida;

• Assistência médica e odontológica;

• Open English: pacotes de aulas com descontos exclusivos para pessoas Neowners e dependentes

• Desconto em MBAs e especializações na USP ESALQ.

LGPD na Neon

A Neon adota uma política para garantir controle e transparência no tratamento de dados de todas as pessoas, inclusive aquelas interessadas em fazer parte do nosso time. As informações de candidatos à vagas abertas na Neon durante o processo seletivo são tratadas rigorosamente de acordo com a LGPD.

• Develop and maintain Python-based applications while designing, implementing, and optimizing AI/Generative AI solutions for business use cases.
• Collaborate with cross-functional stakeholders to gather requirements, deliver scalable AI solutions, and ensure successful implementation.
• Fine-tune, troubleshoot, and enhance AI models and applications to improve performance, reliability, and scalability.
• Conduct research on emerging AI technologies and maintain comprehensive technical documentation, including development processes and best practices.
  
  

• Proven experience in developing and deploying generative AI models.
• Strong understanding of machine learning algorithms and frameworks.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, etc.
• Proficiency in data preprocessing and analysis.
  
  

• We recognize the significance of flexible work arrangements to provide support.Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as Generative AI.
  
  

• Generate scenes using the latest AI video tools
• Edit footage into finished episodes in vertical 9:16 format
• Maintain character consistency across episodes using approved reference assets
• Sync music and sound effects to match the tone and pacing of each scene
• Add captions and text overlays timed to dialogue and action
• Export and optimize content for TikTok, Instagram Reels, and YouTube Shorts
  
  

• Experience working with AI tools for generating video, static, and audio
• Understanding of the basic rules of editing and frame composition
• Prompt engineering skills
  
  

• Experience in classic video production (films, TV series, shows)
• Understanding of dramaturgy and story construction
• The full cycle of AI video creation - from idea to final
• Experience working with short drama or creating AI content for TikTok / YouTube
  
  

• Apply - A simple form that helps us know who’s stepping into our world.
• Text Task - A small real-world challenge so we can see how you approach problems in action.
• Hire - if you both align, we'll invite you to join our team on a test trial period.
  
  

• Full flexibility with your schedule in a fully remote setting, while Hubstaff ensures transparency and fairness.
• Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check.
• A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously.
• Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested.
• A budget for your home office setup so you’re comfortable working how you like and where you like.
• Strong company culture and a network of unique individuals that celebrate you.
  
  

• Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported.
• For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.)
  
  

• Help customers get started with smooth onboarding, training sessions, and regular check-ins within the URP scope (URP = Unified Risk Platform).
• Drive resolution of client requests and technical problems. Lead the path from issue identification to confirmed closure.
• Ensure clients are fully utilizing the URP platform. Guide them through features, use cases, and platform updates.
• Create and update project plans to keep everything on track with your customers.
• Stay connected with customers and your team to ensure workflows run seamlessly.
• Spot and solve potential issues early to keep customers happy and engaged.
• Share updates about new trends, features, or anything exciting related to their projects.
• Be the go-to person for customer questions and tackle any challenges that come up.
• Prepare helpful materials and take proactive steps to ensure projects stay on course.
• Check in on customer satisfaction with surveys and feedback sessions.
• Work with the team lead to improve TI/DRP and ASM customer experience.
• Proactively monitor account health. Detect risks (underutilization, integration issues, satisfaction drops) before they become problems.
• Identify expansion and renewal opportunities. Support retention by demonstrating continuous value
  
  

• Professionals with 3 to 5 years of experience, preferably in cybersecurity or technical areas.
• Basics of Cyber Threat Intelligence, Digital Risk Protection and Attack Surface Management class information security systems.
• Strong communication skills, with an ability to communicate clearly with customers, colleagues and partners.
• Manage internal customer experience development projects (collecting and organising feedback and working with the Customer Journey Map).
• Higher education (preference is given to candidates with a technical degree).
• Fluency in Portuguese and English; Spanish is a plus.
• Please, send the CV in English.
  
  

• Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime.
• Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East & Africa, Central Asia, and the Asia-Pacific. Your growth is our growth — Group-IB's expansion across 60+ active country operations means real career acceleration.
• We fund professional certifications at company expense — whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials.
• Work alongside industry leaders. Our Unified Risk Platform — Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more — is recognized by Gartner, Forrester, KuppingerCole, and Datos Insights. Frost & Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard.
• Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike — and neither do the skills you'll develop.
• A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.

• Objective Setting of the entire team are SMART & in line with AOP, business & people priorities.
• Midyear Review- Ensure MYR is done between manager & employee to provide directions on the progress
• Annual Appraisal- Ensure PDRs are well written, onus for calibration of the region team and fitting the bell curve. Compilation of data to ensure high quality Calibration and pay for performance
• Focal Point Discussion- Ensure this happens between manager, employee & HR and employee is provided feedback with relevant data and developmental inputs.
  
  

• Responsible for recruitment in the Region – Channel Wise (Traditional Trade, Modern Trade, Wholesale, Up Country) supporting region business plan in each of the channel up to L05 in the region. (Sales Trainee to Area Sales Manager)
• Own the staffing and recruitment process from end to end (manpower planning, sourcing, joining --> on Boarding) for upto L05 level. Support the induction for L6+ population for the region.
• Internal Job Posting – Own up the IJP for the region (L01- L05 level)
• Maintain employee number as per the AOP and track it on a monthly basis
• Ensure minimal man-day loss on account of employee exit and replacement, quick turnaround.
• Bring in diversity of talent in the team by hiring diverse workforce from different facets.
• Ensure that the Exit interview is done and analysis of same is fed back to the relevant process/ system.
  
  

• Be an employee champion - Reach out to the frontline to ensure good connect and resolve frontline issues in minimum time.
• Own the R&R for the region – ROH as per plan, Area Manager of the month, Customer Executive of the month, family day, creating excitement by creating/rolling out appropriate regional contests (rollout of national contests as per BU plan)
• Partner with the RM to nominate the high performing sales employees for regional/national/international ROH
• Own up the engagement agenda for the region as per the agreed plan and ensure high employee involvement.
• Set up appropriate two way communication channel with the frontline.
• Ensure that all relevant HR processes are communicated to the frontline and build a strong PepsiCo Employer Proposition.
• Drive the organizational Values and Code of Conduct to the frontline through appropriate communication, highlighting deviation and being the role model themselves.
  
  

• Generate, own and maintain various People Process reports/ records/ analysis and must Win Battles Report. Send the reports to HO as per timelines and as required and drive appropriate action plans in partnership with RM & BUHR
• Ensure that relevant HR Admin support is provided to the employees in a timely manner
• Own up the Third Party Resources (TDO- SPO, Admin resources): Process Ownership ( T&E, Salary, Imprest, Grievance handling, complete control and processing)
  
  

• Ability to anticipate, prioritize and Multitask
• Interpersonal relations – Collaboration and expectation management of the line
• Expert in productive communication – Be able to influence and impact without formal power
• Know the business – Good understanding of the sales levers
• Functional Excellence - Good understanding of HR processes
• Process Orientation – Be able to maintain process integrity
• High Value Orientation with strong Drive and Execution orientation
• High Learning Agility & high Customer Orientation
  
  

• Python (Flask / Plotly Dash)
• Pandas y NumPy
• Bases de datos SQL
• Desarrollo con contenedores
• CI/CD con GitHub Actions
• Nivel de inglés B2 o superior imprescindible (recuerda, el proyecto es internacional).
  
  

• AWS (ECR, ECS o EKS)
• Terraform
• Snowflake
• Dataiku
• OAuth2 / JWT
• Datadog
  
  

• Desarrollar aplicaciones web con Python (Flask / Plotly Dash).
• Procesar y transformar datos con Pandas y NumPy.
• Trabajar con bases de datos SQL.
• Desarrollar en entornos contenerizados.
• Automatizar despliegues mediante GitHub Actions y CI/CD.
  
  

• Tu café, tu escritorio, tu casa... sí, 100% remoto.
• Horario estable de oficina, de lunes a viernes.
• Un proyecto donde seguir creciendo con tecnologías punteras.
  
  

• Petaling Jaya, Selangor, Malaysia
• Full-Time
• Remote
• 4,500-6,500 MYR / Month
  
  

• Job Openings
• Full Stack Developer (React, ExpressJS, Python)
• Full Stack Developer (React, ExpressJS, Python)
  
  

• Develop and maintain web applications using React (JavaScript/TypeScript)
• Build and maintain backend services using ExpressJS and GraphQL
• Design, develop, and integrate APIs and databases
• Support AI integrations using Python, FastAPI, and Hugging Face
• Troubleshoot, debug, and optimise application performance
• Collaborate with developers and designers to implement new features
• Stay up to date with modern web technologies and AI tools
  
  

• 1–3 years of hands-on experience in JavaScript/TypeScript and React.js
• Experience with Python, ExpressJS, and GraphQL
• Familiarity with SQL or NoSQL databases
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Understanding of RESTful APIs and basic web security concepts
• Good problem-solving skills and willingness to learn
• Able to work independently while collaborating within a small team
  
  

• Fully remote working arrangement
• Opportunity to work on both web application development and AI integration
• Exposure to end-to-end product development
• Opportunity to work closely with an experienced engineering team in an international environment
  
  

• Job Openings
• Full Stack Developer (React, ExpressJS, Python)
• Full Stack Developer (React, ExpressJS, Python)

• Design and build high-performance Python services alongside senior engineering and product teams — scalable by design, not by accident.
• Architect integrations with third-party APIs and external platforms, setting the patterns and practices the wider team follows.
• Own system reliability — build distributed systems that hold up under real financial workloads, with a relentless focus on scalability and security.
• Translate business requirements into technical architecture, working across product, design, and engineering.
• Raise the bar on code quality — write clean, testable, efficient Python code and lead thorough code reviews.
  
  

• 5+ years of Python development experience with deep backend expertise.
• Proven track record building high-performance APIs with FastAPI or other ASGI-based frameworks.
• Deep understanding of RESTful APIs and distributed systems design.
• Hands-on experience with CI/CD pipelines (GitHub preferred), Docker, and cloud platforms (AWS or GCP).
• Strong SQL and NoSQL database skills — MariaDB, MongoDB, or similar.
• The architectural judgment to make the right call under pressure.
• Clear, direct communication — equally effective with engineers and product leads.
  
  

About Liquid AI

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

The Opportunity

This is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. You will own applied ML work end-to-end for recommendation system workloads, adapting Liquid Foundation Models for customers who need personalization and ranking capabilities that run efficiently under production constraints.

Unlike most recommendation roles that are siloed into a single product surface, this role gives you full ownership over how large-scale recommendation models are adapted, evaluated, and deployed for enterprise customers. Between engagements, you will build reusable applied tooling and workflows that accelerate future delivery.

If you care about data quality at scale, user behavior modeling, and making recommendation systems actually work in enterprise production environments, this is the role.

What We’re Looking For

We need someone who:

• Takes ownership: Owns customer recommendation system engagements end-to-end, from requirements through delivery and evaluation.

• Thinks at scale: Can reason about user interaction data, sequential modeling, feature engineering, and evaluation across large-scale production systems.

• Is pragmatic: Optimizes for measurable customer outcomes (engagement, conversion, revenue lift) over theoretical novelty.

• Communicates clearly: Can translate between customer business metrics and internal technical decisions, and push back when needed.

The Work

• Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads

• Translate customer requirements into concrete specifications for recommendation models

• Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale

• Fine-tune and adapt large-scale sequential recommendation models (e.g., HSTU-style architectures) for customer-specific use cases

• Design task-specific evaluations for recommendation model performance (ranking quality, latency, throughput) and interpret results

• Build reusable applied tooling and workflows that accelerate future customer engagements

Desired Experience

Must-have:

• Hands-on experience building or fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering)

• Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems

• Strong intuition for data quality and evaluation design in recommendation contexts (offline metrics, A/B testing, business metric alignment)

• Experience with large-scale data pipelines for user interaction data and feature engineering

• Proficiency in Python and PyTorch with autonomous coding and debugging ability

Nice-to-have:

• Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec, or similar)

• Experience delivering recommendation systems to external customers with measurable business outcomes

• Familiarity with serving recommendation models under latency and throughput constraints

What Success Looks Like (Year One)

• Independently owns and delivers enterprise recommendation system engagements with minimal oversight

• Is trusted by customers as the technical owner, demonstrating strong judgment on the tradeoffs between model quality, latency, and business impact

• Has built reusable applied workflows or tooling that accelerate future customer engagements

What We Offer

• Real ML work: You will build and adapt large-scale recommendation models for enterprise customers, working with frontier architectures like HSTU under real production constraints.

• Compensation: Competitive base salary with equity in a unicorn-stage company

• Health: We pay 100% of medical, dental, and vision premiums for employees and dependents

• Financial: 401(k) matching up to 4% of base pay

• Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

About North:

North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.

Why This Role?

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.

We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.

Note: between 20 - 40% travel anticipated

In this role, you will:

• Build and ship features for North, our AI workspace platform

• Develop autonomous agents that talk to sensitive enterprise data

• Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations

• Work across the entire product lifecycle from conceptualization through production

You may be a good fit if:

• You have experience with and enjoy working directly with customers

• You are fluent in both English and Arabic

• You have shipped (lots of) Python in production

• You have built and deployed highly performant client-side or server-side RAG/agentic applications

• You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base

• You excel in fast-paced environments and can execute while priorities and objectives are a moving target

We are open to candidates currently based in the Middle East or who are open to travelling or relocating.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

• Understand client business requirements and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientists and produce project deliverables.
• Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques.
• Help enhance data collection procedures to include information that is relevant for building analytical systems. Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentation.
• Create custom reports and presentations accompanied by strong data visualization and storytelling. Present analytical conclusions to senior officials in a company and other stakeholders
  
  

• Education: Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Impact oriented problem solver with a skill of solving business problems with analytics and data as primary means.
• 2-5 years of experience in delivering data & analytics delivery engagements in one/two of the following areas preferably – Consumer Products, Retail, Manufacturing, Automotive, Life Sciences, Financial Services, Telecom, Media, Technology. Proficient in data mining and data cleansing techniques. Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
• Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc.
• Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI, Agentic AI etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience of forecasting models
• Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc. Experience on deployment of model in production.Familiarity with database systems of SQL and NoSQL.
  
  

• We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as Generative AI.
  
  

• UK£100K – £250K
• Offers Equity
• US$150K – $400K
• Offers Equity
  
  

• 6+ years of software engineering experience, with a track record of operating production systems at meaningful scale in high-growth, high-quality environments.
• Strong systems instincts and real opinions about latency, reliability, and cost. You know what breaks first under load, and you design around it.
• Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy redesigning systems as production teaches you something new.
• Comfortable building across the full stack, a keen learner who picks up new languages, technology stacks, and concepts quickly.
• Experience working in a fast paced environment, taking systems from prototype to scaled production in weeks.
  
  

• Experience working on production AI inference or model serving systems.
• Experience working on realtime systems such as voice, live communications, or streaming.
• Experience working on large-scale data pipelines or evaluation systems.
• Experience working with ML codebases (we don't need you to be an ML Engineer, but having an interest in AI helps!)
  
  

• Collaborate within a cross-functional team spanning engineering, machine learning, and product to quickly design, build, and launch new features across the stack.
• Work comfortably across all parts of our stack, which includes core backend (Kotlin), ML scripts for evaluation, data processing, and inference (Python), low-level media streaming (Rust), the app (Dart/Flutter), and internal tooling (Next.js/TypeScript).
• Elevate user experience by continually refining the reliability, performance, and scalability of the systems behind Ash.
• Rapidly investigate, diagnose, and resolve production issues with a focus on latency, reliability, and cost.
• Take initiative to independently prototype new features based on customer feedback and your own product intuitions.
  
  

• A chance to join a passionate tight-knit team working on something to change the world
• Competitive compensation (top of personal market)
• Travel between our NYC / London offices
• Usual startup perks like free lunch and coffee in office + generous learning budget
• We cover your personal therapy
  
  

• Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
• Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
• Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
  
  

• Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
• Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
• Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
• Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
• Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
• Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
• Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
• Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
• Identifying and implementing best practices for data visualization, reporting and analysis
• Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
• Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency
  
  

• Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
• At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
• 5+ years of real-world data engineering development experience in Snowflake
• Proficient in the application of DBT
• Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
• Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
• Experience with data modeling and schema design
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
• Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
• Demonstrated leadership experience with the ability to mentor and develop junior analysts
• Experience with data governance, data quality, and data integrity efforts
• Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
• Strong project management skills with the ability to manage multiple projects and priorities simultaneously
• for data integration, storage, processing, and manipulation
  
  

Job Title: Junior Data Analyst

Location: Remote / Onsite (as applicable)

Employment Type: Full-Time

Job Summary

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. The ideal candidate will assist in collecting, analyzing, and interpreting data to help drive business decisions. This role is an excellent opportunity for individuals looking to build a career in data analytics and business intelligence.

Key Responsibilities

• Collect, clean, validate, and organize data from multiple sources.
• Analyze datasets to identify trends, patterns, and actionable insights.
• Create and maintain dashboards, reports, and visualizations.
• Prepare regular and ad-hoc reports for management and stakeholders.
• Assist in developing KPIs and performance metrics.
• Perform data quality checks and troubleshoot data discrepancies.
• Support business teams with data-driven recommendations.
• Document data processes, methodologies, and findings.
• Collaborate with cross-functional teams including Operations, Sales, Marketing, and IT.

Required Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Economics, or a related field.
• 0–2 years of experience in data analysis, reporting, or related roles.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.

Required Technical Skills

Must Have:

• SQL (Joins, Aggregations, Subqueries, Window Functions)
• Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, Power Query)
• Data Cleaning and Validation
• Data Visualization

Preferred:

• Power BI or Tableau
• Python (Pandas, NumPy)
• Basic Statistics and Data Interpretation
• Experience with databases such as MySQL, PostgreSQL, or SQL Server

Preferred Qualifications

• Knowledge of ETL concepts and data warehousing.
• Familiarity with business intelligence tools.
• Understanding of reporting automation.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus.

Key Competencies

• Analytical Thinking
• Attention to Detail
• Time Management
• Communication Skills
• Problem Solving
• Team Collaboration
• Adaptability

What You'll Gain

• Hands-on experience working with real business data.
• Exposure to modern analytics and reporting tools.
• Mentorship from experienced data professionals.
• Opportunities for career growth into Data Analyst, Business Analyst, or Data Engineer roles.

• Horaires de travail flexibles
• Lieu de travail : toute la France / à distance
• Rémunération de 12 à 28€/h
  
  

• Maîtrisez votre emploi du temps
• Télétravail / à distance / à domicile
• Vous pourrez fixer le prix de vos cours
• Vous ferez partie de la plus grande communauté de professeurs particuliers

Experience 3 years & Must have knowledge of Python

About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare.

Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.

Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.

Our vision is simple: One API. One provider ID. Frictionless provider data.

We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.

About the Role:

As an Intern Machine Learning Engineer on a 6-month contract, you will help build, test, and deploy ML-powered services on our provider data platform. This is not a pure research role; the focus is on strong software engineering, testing, and robust evaluation rather than novel model architectures.

You will own features end-to-end by collaborating with stakeholders, implementing production-ready code, designing evaluation pipelines, and deploying services on Google Cloud Platform (GCP). This is a fully remote position.

What You’ll Do:

Design, implement, and maintain ML-driven services and data workflows in Python.

Apply software engineering best practices, including clean code, testing (unit and integration), code reviews, CI/CD, observability, and documentation.

Build and maintain evaluation pipelines and metrics to measure model and system performance in production-like environments.

Deploy and operate ML services on GCP, including tools such as Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Cloud Storage.

Troubleshoot and improve existing ML services with a focus on reliability, latency, and correctness.

Collaborate proactively with internal stakeholders across product, operations, engineering, and data teams to clarify requirements and iterate on solutions.

Communicate clearly about trade-offs, risks, timelines, and results to both technical and non-technical audiences.

What You’ll Need:

Experience as a Software Engineer or Machine Learning Engineer.

Strong proficiency in Python and experience building production services.

Hands-on experience deploying and running workloads on Google Cloud Platform.

Expertise in writing and debugging SQL queries.

Strong foundation in software engineering fundamentals, including testing, debugging, version control (Git), CI/CD, and monitoring.

Experience evaluating ML systems by defining metrics, building evaluation datasets, running experiments, and interpreting results.

Ability to work independently, take ownership, and drive projects with limited supervision.

Excellent written and verbal communication skills in English.

Comfort proactively reaching out to internal stakeholders to understand requirements.

Bonus Points If You:

Have experience writing code in Java.

Have built or maintained data pipelines or ETL jobs on GCP.

Have experience working with healthcare data, compliance requirements, or PII.

Have used experiment tracking and evaluation tools such as MLflow, Weights & Biases, or custom dashboards.

Benefits of Working at Certify

• At Certify, we’re building with intention and taking care of the people doing the work.

• Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.

We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences.

If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com.

We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.

• Assists users in analyzing and interpreting complex data sets and queries to assist in decision-making
• Evaluates data anomalies to ensure data quality
• Performs ad hoc data analysis for predictive analytics and fraud analytics using machine learning
• Provides guidance for Development and O&M database engineers
• Experience with big data platform and building data-driven applications using Scala, Python and Java
• Supports the program in the collection, validation, and reporting of metrics
• Provide data collection, verification, and analysis for reporting
• Analyze, evaluate, and recommend processes to best support customer programs
• Advanced Excel expertise required including use of pivot tables, formulas, conditional formatting, etc.
• Review and understand artifacts related to data ingestion and transformation as it applies to data validation and analysis
• Provide quality assurance support using tools like Excel, SharePoint, Power BI, and Tableau
• Streamlines internal processes focusing on organization support using tools like Excel, SharePoint, Power BI, and Tableau
• Performs ad hoc data analysis to support programmatic questions and stakeholder requests
• Works as part of a project team to determine project requirements, goals, implementation, and schedules
• May provide training for internal users and customer stakeholders
• Knowledge and experience with healthcare IT
  
  

• 5-8 years of experience in the development and implementation of large, complex, data-centric systems
• 3 years of experience using data management and visualization tools such as SQL, Tableau, Qlik, R, Python, SAS Viya, or Power BI
• Must have ability to define and document testing criteria and scenarios
• Must have analytical skills to compare and reconcile the expected versus real test results
• Must be able to effectively communicate with technical teams
• Excellent communication, problem solving, and customer service skills
• Candidates must be able to obtain and maintain a Public Trust clearance.
• Candidates must have lived in the United States 3 out of the past 5 years.
  
  

• Assess/evaluate to deliver timely data analysis, and data solutions against client requirements
• Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication
• Ability to manage multiple clients and projects/tasks simultaneously
• Experience with CMS preferred.
  
  

• Bachelor’s degree
  
  

• Competitive compensation and a 401(k) with employer contributions to help you plan for the future
• Flexible paid time off and hybrid ways of working that support true work-life balance
• Comprehensive health coverage—including medical, dental, vision, life, and disability insurance
• A curated in-office experience designed to foster community, team connections, and innovation
• Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events
• Training and development programs that build new skills and prepare you for leadership roles
• A collaborative, transparent, and fun culture—recognized as a Great Place to Work®
  
  

• Cocinar
• Limpiar
• Doblar ropa
• Ordenar espacios
• Hacer jardinería
• Pasear al perro
  
  

• Horarios flexibles
• Trabajo remoto por proyecto
• USD $6 por hora de contenido aprobado
• Bono adicional por la primera hora aprobada
  
  

• iPhone 12 o superior, Google Pixel 6+ o Samsung Galaxy S21+ o superior
• Acceso a internet
• Nivel básico de inglés para registrarte y utilizar la plataforma
  
  

About VeraSafe:

VeraSafe is a U.S.-headquartered privacy and cybersecurity consulting firm and law firm, supporting organizations worldwide with data protection, compliance, and security matters.

We are a fully remote company and proud to be certified as a Great Place to Work®, with 97% of employees affirming a positive and supportive work environment. We value collaboration, high-quality work, and a balanced, sustainable approach to professional life.

Watch / listen to learn more about VeraSafe: Check out our podcast!

Apple Podcast: https://apple.co/4b28hwE

YouTube: https://www.youtube.com/@PrivacyInPractice/videos

Spotify: https://bit.ly/4moSMU7

About the Role:

We are seeking a highly organized and detail-oriented Project Coordinator to support the delivery of privacy and cybersecurity compliance projects.

This is a hands-on, execution-focused role. Success in this role depends on exceptional written communication, team coordination, disciplined task management and precise documentation, and the ability to manage multiple workstreams with accuracy and consistency. You will work closely with attorneys and IT security professionals to ensure projects run smoothly, efficiently, and in alignment with client expectations.

This role is well suited for individuals with project management experience. We are also open to individuals with experience in executive/administrative support who are looking to grow into a project management career within a legal consulting environment.

Note: We will ask you to participate in a short skills assessment as a first step in the selection/interview process.

Key Responsibilities:

• Coordinate and execute project plans within defined scope, timelines, and budgets
• Maintain accurate and up-to-date project records, tasks, and documentation
• Schedule client and internal meetings, manage calendars carefully across time zones, and ensure key meetings and deadlines are set up accurately
• Attend client and internal meetings; produce accurate, complete, and well-structured meeting minutes with clear action items, owners, and deadlines
• Monitor project progress, prioritize gating tasks, proactively flag risks or blockers, and provide timely updates and recommended next steps
• Communicate regularly with attorneys, team members, and clients regarding status and next steps
• Ensure adherence to internal processes, standards, and best practices
• Support workload coordination across team members
• Assist in documenting and improving business processes

Skills Required:

• Exceptional attention to detail and organizational ability
• Strong written and verbal communication skills in English
• Ability to manage multiple priorities and deadlines simultaneously
• Proactive, solutions-oriented mindset
• Team player
• Comfortable working in a fast-paced, fully remote environment
• Proficiency with productivity and project management tools (e.g., Google Workspace, Microsoft Office, Asana, Jira, Teamwork)

Experience Required:

• 4+ years of experience in project coordination or project management
• Experience taking detailed meeting minutes and managing action items
• Experience in professional services, consulting, legal, or technology environments preferred
• Exposure to IT, cybersecurity, or compliance-related projects is a strong plus

Education/Certifications (Preferred):

• Project management certifications (e.g., CAPM, PRINCE2 Foundation)
• Exposure to Agile methodologies
• Background in legal, IT audit, or cybersecurity disciplines is a plus

VeraSafe’s Excellent Benefits Include:

• Work from almost anywhere with Wi-Fi
• Paid Time Off (PTO)
• Paid holidays
• Annual bonuses
• Membership in the International Association of Privacy Professionals (IAPP) and IAPP exam fee reimbursement (CIPP/E)
• Flexible working schedule in some roles
• Reimbursement for certain personal flight ticket
• Company laptop provided

Other Benefits:

• Tremendous professional development growth opportunities in the privacy, data protection, and cybersecurity niche
• The chance to have a long-lasting effect on a small but growing international business
• Work in an open environment with a team that respects your ideas and contributions
• Occasional opportunities to travel in North America and Europe

Our HR Privacy Notice is available at the following link: https://verasafe.com/legal/human-resources-privacy-policy/

• Responsable de crear campañas de CRM para todo el ciclo de vida de nuestros usuarios, incluyendo la automatización y comunicaciones ad hoc.
• Crear la estrategia y marco de referencia de testeos rápidos en los canales de CRM
• Manejar de principio a fin el desarrollo y ejecución de campañas de email. Incluye el trabajo y colaboración con el equipo regional de CRM y diseñadores.
• Estructurar y monitorear complejos journeys, triggers y automatizaciones con contenido estático y dinámico.
• Crear flows del proceso de compra de los usuarios que generen conversación y engagement.
• Analizar resultados de campañas, desarrollar benchmarks y reportes.
  
  

• Preferiblemente mas de 2 años de experiencia en CRM, customer marketing o customer engagement.
• Fuertes habilidades analíticas, hábil para crear estrategias basadas en datos y campañas de principio a fin.
• Conocimientos de SQL y Python
• Extracción de data y análisis de la misma para generar plan de acción
• Resultados medibles de tests y desarrollo de campañas por diferentes canales como e mail, SMS, push notifications.
• Estar familiarizado con la tecnología de CRM y herramientas de segmentación de base de datos.
• Habilidades de organización, independiencia, multi-tasking y atención al detalle
  
  

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!

Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others:

• Built In's 2026 Best Midsize Companies to Work For in New York City

• Built In's 2025 Best Places to Work For In New York City

• Built In’s 2024 & 2025 Best Startups to Work For In the U.S.

• Built In’s 2023 - 2025 Best Startups to Work For In New York City

• Fast Company’s Most Innovative Companies of 2022

• Business Insider’s Most Promising Consumer Startups 2022

• Forbes Fintech 50 2022

Role Overview:

At Brigit we’re focused on giving the 100M Americans who live paycheck to paycheck access to more affordable financial services and getting them on the path to better financial wellness. As a Data Scientist on our team you’ll be responsible for building, improving and maintaining the key ML models that enable our services. The key problem spaces we are focused on are:

• Identifying credit risk of customers so that we can help more people in need when they need it

• Identify fraud early, so we can focus on customers that rely on us for support

• Optimizing our transaction timing so we aren’t causing our customers to overdraw their accounts.

We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting new use cases when needed, you will also have the opportunity to help us stand-up best practices and collaborate across Data Science. Analytics, Product and Engineering teams.

What you’ll be doing:

• Build, test and roll out new underwriting and risk models to better predict risk

• You’ll have ownership of the full modeling lifecycle from conception through to production and realize every bit of impact along the way.

• Build, test and roll out new or improved models related to fraud and payments.

• Contribute to building best practices for feature development, model training and model testing and monitoring.

• Analyze how our customer base is shifting as we grow and pinpoint areas we can improve.

• Help our existing engineering and business teams achieve our cross-functional goals.

• Mentor more junior data scientists or aspiring data scientists across the data team.

What you have:

• 6+ years of experience doing data science (modeling + analysis)

• Advanced degree in data science, statistics, computer science, or related field.

• Proven expertise in machine learning principles and techniques

• Experience in Python, using industry-standard modeling toolkits like sklearn, JupyterLab, pandas, matplotlib, statsmodels, etc.

• Experience in writing complex SQL queries and the ability to put together multiple data sources

• Experience creating training data sets, training models, tuning hyperparameters, performing validation, running A/B tests in production, creating and owning performance and model monitoring

• Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models.

• Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams)

• Experience building end-to-end data science solutions to address business needs: from ideation to deployment & AB testing

• Strong written and verbal communication skills, with the ability to explain complex concepts to various audiences

Who You Are

• Passionate self-starter who is always looking for ways to optimize, test, and improve

• Ability to operate through ambiguity by asking questions and learning quickly

• Always willing to collaborate and help your colleagues to do their best work.

• Passionate about making a difference in people's lives through your work

The anticipated annual base salary for this position is $185,000 - $215,000 with a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Benefits & Team

• Medical, dental, and vision insurance

• Flexible PTO Policy

• 401k plan

• Paid Parental Leave

• Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support

• Monthly reimbursements to use against wifi and cell phone bills

• Annual reimbursement for Learning & Development

• Help hard working Americans build a brighter financial future

• High-growth company

• A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.

Disclosures:

• For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.

• Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

• Strong software engineering background - Python, Node.js, or Ruby
• Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar)
• Ability to design pragmatic AI solutions within existing architectures
• Experience building RAG pipelines, embeddings, and vector search
• Understanding of cost, latency, and reliability constraints of AI systems
• Ability to work independently with clients and set realistic expectations
• Background in big data or data pipelines is a big plus
• English B2/C1
• Availability part-time or full-time (B2B contract)
  
  

• Add AI functionality into existing Python, Node.js, and Ruby codebases
• Build LLM-powered features: chat, summaries, classification, smart search, document Q&A
• Design lightweight RAG pipelines using embeddings and vector search
• Work with vector DBs (pgvector, Pinecone, Qdrant)
• Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure)
• Work directly with clients to shape AI features and reduce manual effort
• Advise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost
  
  

• Read more at Monterail Tech Network

• Diseñar soluciones digitales para nuestras diferentes líneas de negocio: ecommerce, app, plataformas de contenido, landings, campañas y nuevas iniciativas de producto.
• Analizar flujos existentes, detectar necesidades de mejora y traducir objetivos de usuario, negocio y tecnología en propuestas de diseño claras y accionables.
• Trabajar en las distintas fases del proceso de diseño según las necesidades de cada proyecto: arquitectura de información, navegación, flujos de usuario, wireframes, prototipos, diseño de interacción y visuales de alta fidelidad.
• Plantear funcionalidades y mejoras teniendo en cuenta el propósito de cada producto, la experiencia de usuario, los principios de usabilidad y el impacto en conversión.
• Cuidar y hacer crecer nuestro sistema de diseño: consistencia, componentes reutilizables y coherencia visual en todos los productos.
• Colaborar de forma cercana con equipos multidisciplinares: frontend, desarrollo, negocio, CRO, data, brand, contenido y otros equipos implicados en cada proyecto.
• Documentar las propuestas de forma clara y estructurada para facilitar el handoff, la maquetación y el desarrollo.
• Comunicar y argumentar tus decisiones de diseño ante el equipo y los owners de proyecto, apoyándote en criterios de usabilidad, datos disponibles, feedback cualitativo y necesidades de negocio.
• Diseñar tests A/B definiendo diferentes flujos de usuario para alcanzar un mismo objetivo y analizar su impacto en métricas clave de negocio.
  
  

• Dominas los flujos de ecommerce. Entiendes a la perfección cómo funciona una ficha de producto, un carrito y un checkout, y dónde se gana y se pierde al usuario.
• Criterio UX. Defines flujos, estructuras de navegación y jerarquías de información con soluciones que mejoran la experiencia de verdad, no solo sobre el papel.
• UI impecable. Ejecutas interfaces de alta calidad, pulidas y consistentes, con atención a jerarquía visual, composición, tipografía, espaciado, estados de interacción y coherencia con marca. Sabes innovar sin romper el sistema.
• Aterrizas ideas, priorizas y diseñas pensando en la viabilidad técnica. Si algo no es viable, propones un plan B que funcione.
• Sensibilidad técnica. No necesitas programar, pero hablas el idioma técnico: entiendes fundamentos de HTML, CSS, responsive, componentes y estados (carga, errores), y sabes que detrás de cada pantalla hay decisiones técnicas.
• Mentalidad colaborativa. Trabajas bien con equipos multidisciplinares: frontend, desarrollo, producto, marketing o data. Entiendes la importancia de escuchar otros puntos de vista y sabes integrar feedback para llegar a soluciones más sólidas.
  
  

• 3-5 años de experiencia en UX/UI, producto digital o diseño de interfaces web, con al menos 2 años en ecommerce, retail o entornos digitales con foco en negocio, conversión y mejora continua.
• Dominio experto de Figma como herramienta principal: librerías de componentes, auto-layout, prototipado, interfaces y documentación.
• Criterio UX sólido: entiendes flujos completos, justificas tus decisiones de diseño y piensas la experiencia, no solo la pantalla.
• Portfolio online sólido con trabajo de principio a fin en web y mobile: research, wireframes y UI final.
• Capacidad de organización para preparar entregas claras, documentadas y fáciles de entender por equipos técnicos y de negocio.
  
  

• Soltura con analítica de comportamiento (Clarity o similar) para apoyar decisiones en datos, no solo en intuición.
• Experiencia en tests de usabilidad, research con usuarios o análisis cualitativo.
• Sensibilidad por el microcopy. Entiendes que el texto también es diseño: etiquetas, mensajes de error, estados vacíos y onboarding que guían al usuario.
• Curiosidad y autonomía. Te mueve aprender, probar y mejorar la forma en la que trabajas. Ante un obstáculo, tienes iniciativa para entenderlo, buscar opciones y plantear soluciones.
  
  

• Entrevista telefónica con HR (máximo 30 minutos).
• Prueba técnica posterior a la entrevista.
• Entrevista final con Manager & HR.