Engineering Manager - Capture

<p>At <a href="https://research.picnichealth.com/" target="_blank">PicnicHealth</a>, we're building the future of non-interventional clinical research, <a href="https://picnichealth.com/picnicai" target="_blank">powered by AI</a> and centered on patients. Our mission is to make it radically easier, faster, and more affordable to perform clinical trials and get better treatments to patients. We're replacing the legacy, services-heavy model with a modern, AI-first approach that unlocks insights from rich, multi-modal data—from clinical notes and imaging to lab results—at scale. By engaging patients directly through our<a href="https://picnichealth.com/care" target="_blank"> personal health assistant</a>, PicnicAI, which meets them where they’re at and delights them along the way (with an industry leading NPS of 76), patients participate actively in the research they care about.</p> <p>PicnicHealth is already a trusted partner to 7 of the top 10 pharmaceutical companies. Our work spans 40+ disease areas and has supported over 60 peer-reviewed publications, including an FDA submission that incorporates PicnicHealth data.</p> <p>Founded in 2014, we’ve raised $100M+ from top investors like Amplify Partners, Felicis Ventures, B Capital Group, and Y Combinator. Our business running non-interventional studies more than doubled last year, and we’re growing even faster in 2026. We’re a team of doctors, patients, data nerds, engineers, and builders, reimagining how clinical research works — and we’re just getting started!</p> <p><strong>The Opportunity</strong></p> <p>We're hiring an Engineering Manager to own and evolve the production systems that operationalize AI across PicnicHealth's clinical data platform. This is a 50/50 hands-on technical leadership and people management role. You'll spend half your time writing production code alongside a team of 3 engineers, and you'll be directly accountable for how these systems perform in production.</p> <p>The Capture team builds the systems that turn AI from an assistant into the primary driver of clinical data workflows—retrieving medical records,, abstracting clinical data, and ensuring quality at scale. These are human-in-the-loop systems where AI does the heavy lifting and humans provide oversight, correction, and quality assurance. You'll build the systems that operationalize these AI capabilities: workflow orchestration, error and edge case surfacing, audit trails, and the interfaces that let clinical users understand, trust, and correct AI outputs.</p> <p>We believe speed and quality reinforce each other—even in a regulated environment. Fast iteration, tight feedback loops, and frequent shipping are how you build trust in AI-powered systems. You'll be expected to continuously improve how your team ships, including rethinking workflows as AI development agents reshape what's possible in engineering.</p> <p><strong>What you’ll do:</strong></p> <ul> <li>Write and ship production code weekly—you'll be in the codebase alongside your team</li> <li>Drive a culture of shipping speed and continuous improvement—identify bottlenecks, reduce cycle times, and treat fast iteration as the primary mechanism for achieving quality in a regulated environment</li> <li>Build internal tools that give clinical and operations users visibility into AI decision-making, with appropriate guardrails, permissions, and correction workflows</li> <li>Work closely with an embedded AI engineer who owns prediction model quality, while you own the production systems, user-facing workflows, and speed gains that depend on those predictions</li> <li>Lead incident response and postmortems for team-owned systems; ensure failures result in durable fixes, not patches</li> <li>Mentor 3 engineers through building together—pairing, code review, and architectural decisions made in the context of real work</li> <li>Establish and maintain system reliability standards: monitoring, alerting, and continuous improvement loops that catch ... (truncated, view full listing at source)