Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases.
Develop reusable frameworks, services, and workflows to standardize how teams build and manage data pipelines and data products.
Partner with Analytics, Applied-AI, and Engineering teams to deliver platform capabilities that support business and clinical decision-making.
Omada Health is on a mission to bend the curve of chronic disease by providing a virtual-first care model that combines human-led care teams, connected devices, and AI-enabled technology. They have served over two million members and are a publicly traded company with a culture of trust, context, boldness, results, and teamwork.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.
Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
Develop curated data models and products to support analytics, AI workloads, and operational use cases.
Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.
RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.
Design and build scalable, well-tested DBT models and develop maintainable ELT pipelines with observability and reliability.
Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward.
Mentor other engineers, document logic and methodology, and promote transparency across the organization.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs, delivering 24/7 virtual and in-home medical, behavioral, and social care. The company is a fast-paced startup environment focused on compassion and innovation, with an unwavering commitment to children with medical complexity.
Define data architecture and platform strategy for enterprise data platforms.
Build and optimize scalable data pipelines supporting batch and real-time processing.
Mentor junior engineers and partner with leadership on data strategy.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009, with delivery centers across North America and Europe, our teams average 15+ years of experience and we value craft, speed, and ownership.
Oversee multiple software engineering teams, ensuring efficient alignment with organizational objectives and providing mentorship to engineering managers and senior engineers.
Develop and communicate the long-term technical vision and strategy, collaborate with product management to prioritize the engineering roadmap, and plan the engineering budget.
Foster an inclusive and innovative engineering culture, assure adherence to agile development processes, and communicate progress to the executive team.
Rithum is the world's most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Design, develop, and maintain resilient, scalable, end-to-end data pipelines with Snowflake and Python.
Partner with product owners and analysts to gather requirements and deliver data solutions aligned with business goals.
Act as a subject matter expert, mentor junior engineers, and champion DevOps practices including CI/CD and automated testing.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups and health systems to optimize practices and improve patient care through its cloud-based platform. The company is led by top industry talent and physician leadership, focusing on reducing healthcare costs and improving outcomes.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and store data from multiple internal and external systems.
Optimize data models and schemas for reporting and dashboarding, supporting enterprise analytics platforms.
Collaborate with data strategists, analysts, and solutions developers to enable analytics use cases and ensure compliance with federal security and regulatory requirements.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, the company supports over a dozen federal agencies and has over 300 employees nationwide.
Own end-to-end technical integration design and execution for enterprise customers from pre-sales through production deployment.
Architect system designs that bridge customer IT environments with Cohere’s AI-first platform, balancing constraints with capabilities.
Produce high-quality technical artifacts including integration designs, data mappings, and operational runbooks for scalable deployments.
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration and cost containment. The company handles over 12 million prior authorization requests annually, working with over 660,000 providers, and fosters a culture of empathy, candor, and inclusivity known as the Coherenauts.
Design and build production-ready AI agents that allow users to query enterprise data using natural language.
Develop Text-to-SQL pipelines using LLMs, ensuring generated queries are accurate, secure, and performant.
Collaborate with cross-functional teams to integrate AI into scalable platforms and improve accuracy through testing.
This role is listed on behalf of a partner company, which manages all applications and next steps. The company uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Lead applied AI investments, owning technical direction for high-impact AI products and shipping systems across teams.
Collaborate cross-functionally to define and execute AI product innovation and engineering execution.
Help raise the bar for how we build, evaluate, and operate AI in production at scale.
Rula is a mental health company dedicated to treating the whole person with evidence-based and compassionate care. As a remote-first company, we hire in most U.S. states and focus on creating a culture of inclusion and well-being for our employees.
Design, build, and operate reliable, scalable backend services and data pipelines.
Work across our cloud infrastructure (AWS) to ship and run production systems.
Improve the performance, reliability, and observability of the systems you own.
Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. They are a company that values world-class client experience, challenges convention, and embraces continuous improvement and meritocracy.
Design and build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Operate as a self-sufficient, T-shaped, full-stack AI/ML engineer
Recommend AI/ML-driven solutions and implement them
Review technical architecture documentation for the project and ensure that the engineering team’s deliverables are implemented accordingly
Serious Development is a boutique healthcare strategy, product, and software engineering firm. We partner with healthcare organizations to solve complex operational challenges through thoughtfully designed custom software.
Design and build backend services for AI-powered product features, including inference pipelines and orchestration layers around LLMs.
Develop high-throughput, low-latency distributed systems with monitoring, logging, and alerting across production services.
Collaborate with product, infrastructure, and AI engineers to optimize performance, caching, batching, and streaming.
This team is building an AI-native productivity platform that replaces repetitive digital work with reliable AI workflows. They are a small, focused product team working on cutting-edge AI infrastructure.
Design and build scalable backend services and APIs.
Develop integrations with healthcare and financial systems.
Build reliable, observable data ingestion and processing pipelines.
This healthcare AI startup builds products that help providers navigate reimbursement landscapes using machine learning and AI. It has assembled an exceptional technical team and is fast-growing.