AI Product Engineer

About the role

This role is part of Pelago’s engineering team, which operates as empowered, outcome-oriented problem solvers, working in close partnership with product, design, and clinical teams to improve member outcomes at scale.

Responsibilities

• Own meaningful product areas end-to-end — from problem framing and prototype through production rollout and iteration.
• Partner deeply with product, design, data, and clinical teams to shape solutions that improve member outcomes and business results.
• Build and evolve secure, well-tested, observable software across backend, frontend, and data surfaces.
• Use data, experimentation, and user feedback to validate whether shipped solutions are working, and drive iteration when they're not.
• Operate autonomously in ambiguous environments, communicating proactively across globally distributed teams and functions.
• Make sound trade-offs across speed, safety, technical quality, and maintainability in a regulated environment.
• Improve Pelago's engineering system: AI-native development practices, testing, documentation, knowledge sharing, and review quality.

Requirements

• Strong production experience building product software in a startup or scale-up environment.
• Excellent TypeScript/Node capability; comfortable working across APIs, services, data and cloud infrastructure.
• Strong product sense: able to start from the user or business problem, not just the implementation.
• Comfortable operating autonomously in ambiguous environments and making sound trade-offs with incomplete information.
• Solid testing, observability, and reliability instincts.
• Fully fluent with AI-augmented engineering workflows while maintaining human judgment and QA discipline.

Qualifications

• Nice-to-have: Experience in healthcare, digital health, or safety-sensitive regulated software.
• Nice-to-have: Experience with event-driven systems, serverless AWS, relational database design, and infrastructure as code.
• Nice-to-have: Experience with experimentation, analytics, and growth/product instrumentation.
• Nice-to-have: Experience contributing to both backend and user-facing product surfaces.
• Nice-to-have: Experience building products from 0 to 1 in an early-stage environment.

Skills

• Strong production experience building product software in a startup or scale-up environment.
• Excellent TypeScript/Node capability; comfortable working across APIs, services, data and cloud infrastructure.
• Strong product sense: able to start from the user or business problem, not just the implementation.
• Comfortable operating autonomously in ambiguous environments and making sound trade-offs with incomplete information.
• Solid testing, observability, and reliability instincts.
• Fully fluent with AI-augmented engineering workflows while maintaining human judgment and QA discipline.

Benefits

• Comprehensive benefits package.
• Incentive bonus program.
• Stock options.
• Inclusive and supportive workplace culture.

Pay

Base Pay Range: $190,000 - $215,000 USD

Schedule

This is a hybrid role with a high-collaboration rhythm (3 days/week in our NYC office).