Product Engineer

Our engineering team operates as empowered, outcome-oriented problem solvers, working in close partnership with product, design, and clinical teams to improve member outcomes at scale.

As AI transforms how software is built, we are intentionally evolving our development lifecycle so we spend less time on mechanical implementation and more time on system design, judgment, and impact.

• Outcome-driven: Engineers are given problems to solve, not just features to build. Success is measured by learning, impact, and outcomes—not velocity alone
• AI-native: We use AI across the SDLC to accelerate implementation, testing, and review. Engineers focus on defining intent, validating behavior, and designing resilient systems
• High autonomy, high accountability: Teams have real ownership over their domains. With autonomy comes responsibility for quality, safety, and results
• Cross-functional by default: Engineers partner deeply with Product, Design, Data, and Clinical. Discovery, experimentation, and delivery are shared responsibilities
• Quality and safety matter: We build in a regulated, member-impacting domain. Reliability, observability, and correctness are first-class concerns

Instead of task lists, anchor on ownership:

• →Own meaningful problem spaces end-to-end, from discovery through delivery and iteration
• →Design and evolve systems that support safe, scalable, AI-augmented development
• →Use data and experimentation to validate whether solutions actually work
• →Collaborate cross-functionally to balance member impact, clinical constraints, and technical tradeoffs
• →Shape how we work—our tools, processes, and culture

 We explicitly assess for empowerment:

• You start with "why" before diving into "how"
• You're energized by ambiguity and collaborative problem-shaping
• You use AI to amplify your judgment and move faster on what matters
• You think in systems and anticipate second-order effects
• You want to own outcomes, not just ship features

• 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.

• 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.
• Fluent with AI-augmented engineering workflows while maintaining human judgment and QA discipline.

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

Please note that Pelago is dedicated to providing accommodations to candidates upon request. If you need accommodations at any point throughout the interview process, please reach out to your recruiter.

We write about our technical decisions, product philosophy, and the real challenges of scaling behavioral health. Read the blog → https://pelagohealth.ai/