Senior Engineering Manager, Outcomes
Hinge Health
| Company | Hinge Health |
| Category | Engineering |
| Location | San Francisco |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Manager |
| Salary | USD 240k–360k |
| Posted | 15 Apr 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer career page (ashby) |
Description
THE OPPORTUNITY
Pain reduction isn't a vanity metric at Hinge Health — it's the mission. The Outcomes pod owns the member-facing surfaces that make clinical progress visible (pain logging, health assessments, outcomes visualization) and the Assessment Service, the company-wide platform that powers every structured survey and PROM across Migraine, Perisurgical, Women's Pelvic Health, and beyond. As the Engineering Manager for this team, you'll lead 8 engineers at the intersection of consumer product craft, clinical measurement rigor, and platform engineering — turning clinical signal into product bets and operating the infrastructure the entire organization depends on.
WHAT YOU'LL ACCOMPLISH
In your first 3 months, you will:
- Build trusted partnerships with your PM, Data Scientist, and cross-neighborhood engineering leads. Understand the full stack — from the React Native client (phoenix) through phoenix-bff to assessment-service — and complete your first code reviews and PR merges.
- Audit the current Assessment Service roadmap, catalog inbound requests from partner pods (Migraine, Perisurgical, Enrollment), and establish a transparent prioritization framework that balances internal roadmap with external partner needs.
- Immerse yourself in the team's experimentation culture: review active A/B tests on pain logging cadence and member engagement, and set expectations for rigorous go/no-go criteria going forward.
In your first 6 months, you will:
- Ship at least one experiment that demonstrably moves a core clinical metric — pain reduction, survey engagement, or PSFS improvement — and build the analytical discipline so results are trusted org-wide.
- Define and publish contribution patterns for the Assessment Service so partner pods can extend the platform without creating bottlenecks, reducing ad-hoc cross-team coordination overhead.
- Deepen the pod's AI-native development practices — expanding use of autonomous agents, CI-enforced harness engineering patterns, and developer tooling that increases engineering throughput.
In your first year, you will:
- Own the outcomes product surface end-to-end: pain logging UX, progress tracking, outcomes visualization, and health assessment experiences that members love and clinicians trust.
- Ensure Outcomes data is a durable company asset — well-modeled, well-documented, and wired into the clinical and commercial reporting stack — not just a sprint metric.
- Grow and develop a high-performing team, raising the engineering bar through hiring, mentorship, and career-ladder progression while sustaining a culture that values both clinical impact and platform reliability.
WHO YOU ARE
- A builder who stays close to the code. You're a hands-on engineering leader (~15% IC time) who reviews PRs, contributes architecture input, and earns trust through technical credibility — not just org-chart authority. You embody Hinge Health's Lead at All Levels principle.
- A systems thinker with product instincts. You can reason across service architecture, data modeling, and client-side UX tradeoffs — and you know when a platform decision will ripple across a dozen downstream consumers.
- An experiment-minded operator. You don't just ship features; you design bets, define success criteria, and hold the team accountable to outcomes. You exemplify Hustle — measuring yourself by results and impact, not actions or good intentions.
- A cross-functional partner. You communicate clearly across engineering, clinical, data science, and product teams to align on shared goals — demonstrating Effective Communication and Accountability.
BASIC REQUIREMENTS
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 3+ years of experience managing a team of 5+ engineers in a product or platform engineering environment
- Full-stack or backend-heavy engineering background, with the ability to reason about service architecture, data
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