Engineering Manager Capture

At PicnicHealth were building the future of non-interventional clinical research 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. Were replacing the legacy services-heavy model with a modern AI-first approach that unlocks insights from rich multi-modal datafrom clinical notes and imaging to lab resultsat scale. By engaging patients directly through our personal health assistant PicnicAI which meets them where theyre at and delights them along the way (with an industry leading NPS of 76) patients participate actively in the research they care about.

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.

Founded in 2014 weve 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 were growing even faster in 2026. Were a team of doctors patients data nerds engineers and builders reimagining how clinical research works and were just getting started!

The Opportunity

Were hiring an Engineering Manager to own and evolve the production systems that operationalize AI across PicnicHealths clinical data platform. This is a 50/50 hands-on technical leadership and people management role. Youll spend half your time writing production code alongside a team of 3 engineers and youll be directly accountable for how these systems perform in production.

The Capture team builds the systems that turn AI from an assistant into the primary driver of clinical data workflowsretrieving 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. Youll 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.

We believe speed and quality reinforce each othereven in a regulated environment. Fast iteration tight feedback loops and frequent shipping are how you build trust in AI-powered systems. Youll be expected to continuously improve how your team ships including rethinking workflows as AI development agents reshape whats possible in engineering.

What youll do:

• Write and ship production code weeklyyoull be in the codebase alongside your team
• Drive a culture of shipping speed and continuous improvementidentify bottlenecks reduce cycle times and treat fast iteration as the primary mechanism for achieving quality in a regulated environment
• Build internal tools that give clinical and operations users visibility into AI decision-making with appropriate guardrails permissions and correction workflows
• 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
• Lead incident response and postmortems for team-owned systems; ensure failures result in durable fixes not patches
• Mentor 3 engineers through building togetherpairing code review and architectural decisions made in the context of real work
• Establish and maintain system reliability standards: monitoring alerting and continuous improvement loops that catch problems before users do

Our stack includes GCP Kubernetes PostgreSQL BigQuery React Hasura GraphQL TypeScript and dbt.

What Youll Bring:

• 7 years of software engineering experience including 2 years managing engineers while staying deeply hands-onyouve continued to ship production code as a manager
• Owned production systems processing large volumes of unstructured or semi-structured data with personal accountability for reliability and correctness
• Meaningful experience building and operating AI-powered systems in productionyou understand what it takes to make AI work reliably at scale not just call an API
• Built internal tools or platforms for non-technical or regulated users with demonstrated sensitivity to trust UX and workflow fit
• Comfortable making high-stakes technical decisions with incomplete informationand accountable for the outcomes including failures
• Operated in ambiguous environments where requirements evolve tradeoffs are real and youre expected to drive clarity rather than wait for it
• Strong opinions on system observability debugging and operational excellence
• A track record of integrating AI into your engineering practices and workflowsnot just the product you build but how you build it. You have a point of view on how AI development agents are changing software engineering and ideas for how to stay ahead of that curve at PicnicHealth.

We expect all team members to be amazing in their roles and ultimately to move the PicnicHealth mission forward.

What is clinical research and why will PicnicHealth win

Clinical research is the industry responsible for conducting studies to evaluate the effectiveness of drugs and treatments. Better trials lead to faster more cost-effective drug development ultimately resulting in more and improved treatments for patients. However the process remains highly inefficient. Trials are a major bottleneck in drug development and the promising advancements in biotech cannot translate to real patient impact unless clinical research becomes faster and more efficient

The industry runs on outdated technology and manual processes. Research sites (hospitals academic centers doctors offices) are overburdened and under-resourced. Contract research organizations (CROs) the organizations that traditionally run clinical trials for life sciences companies typically throw hundreds-of-thousands of man-hours wrangling sites and cobbling together vendor software.

PicnicHealth has built technology that uniquely positions us to run faster cheaper and more flexible studies while removing burden from sites:

• PicnicAI (trained on 350M clinician annotations over 100k patient records) is the only system that can effectively access and structure all participant EMR data trials need
• Our AI health assistant (NPS of 76 in 2024) guides participants through study activities and enables most to be done at home
• Were an integrated solution virtual site CRO and software platform with AI built in from the ground up initially focusing on non-interventional research.

The other perks & benefits you get when you work at PicnicHealth

We pay competitive salaries. Everyone on the team is an owner: all full time employees get competitive equity.

Target Base Salary Range: $200K - $230K

The base salary PicnicHealth offers may vary depending upon the scope complexity and autonomy of the position and on the candidates job-related knowledge skills and experience.

Were a remote first company with teammates spread across the US. We support in-person gatherings including co-working spaces and multi-day onsites to build connections and move forward strategic initiatives. Expect to travel 2-4 times a year. For our team members in the Bay Area who prefer to work in person we can offer a hybrid set up to work from the SF office on a flexible schedule.

You also get:

• Comprehensive benefits including above market Health Dental Vision
• Family friendly environment
• Flexible time off
• 401k plan
• Free PicnicHealth account
• Equipment and internet funds for home office set up
• Wellness Stipend

PicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.