FreshworksBengaluru, India
Hinge HealthPosted 1d ago
Sr. Product Manager, R&D Enablement
Sr. Product Manager, R&D Enablement at Hinge Health scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.
AI in this role
Lead R&D enablement initiatives to improve internal developer experience and drive AI tool adoption across engineering pods.
Hinge Health is pioneering the world's most patient-centered Digital Musculoskeletal (MSK) Clinic. We are building a world-class R&D organization where engineers, product managers, and designers can move fast with confidence, create high-quality solutions, and stay deeply engaged in their work.
About the RoleWe are seeking a Senior Product Manager to lead our R&D Enablement initiatives. In this pivotal role, you will treat our internal developer experience as a product, driving the strategy to achieve P90 industry benchmarks in velocity, throughput, and satisfaction.
You will oversee the product roadmap for our Service Enablement, Mobile App Enablement, Platform Quality and SRE pods. Your mandate is to eliminate friction across the entire development lifecycle—from concept and code inception to deployment and observability—empowering our EPD (Engineering, Product, Design) teams to deliver value to our members faster and more reliably.
Key ResponsibilitiesDefine the R&D Enablement Strategy: Evolve our internal platform strategy from "Engineering Enablement" to broad "R&D Enablement" expanding scope to support Product Managers and Designers along with engineers with AI-powered tools and streamlined workflows.
Drive the "5 Pillars" of R&D Excellence:
AI Adoption: Lead the integration of AI tools (coding assistants, observability, knowledge management) to automate repetitive tasks and save 5+ hours/week per individual.
Velocity & Local Iteration: Champion initiatives like ephemeral environments (Okteto) and CI/CD optimization to drastically reduce lead time for changes.
Quality Engineering: Prioritize tooling for flaky test elimination and advanced testing paradigms to reduce production incidents.
Instrumentation & Observability: Drive the adoption of structured logging and unified dashboards (DataDog) to democratize production visibility. Ensure our RnD process is well instrumented so that we can measure improvements that process changes & tools bring in.
Knowledge Management: Treat documentation as a product, consolidating fragmented knowledge into a centralized, authoritative source.
Manage the Platform Roadmap: Partner with Engineering Managers to prioritize technical investments against business value, managing backlogs for Service Enablement, App Enablement, and SRE teams.
Measure What Matters: Rigorous tracking of success metrics, including DXI (Developer Experience Index), PR Throughput, DORA metrics, and Mean Time-to-Recovery (MTTR).
Voice of the Customer: Conduct quarterly DX surveys and "listening tours" to identify friction points and translate feedback into actionable product requirements.
Translate the "RnD Enablement Strategy" into concrete quarterly roadmaps.
Lead the rollout of a unified Developer Experience Platform (DXP) to measure productivity and team performance.
Collaborate with App Enablement (Mobile DevOps & Mobile App Platform) to optimize the mobile/frontend developer experience, specifically for our Phoenix application stack and release processes.
Drive cultural change by incentivizing documentation, deep work, and "paved road" adoption across the organization.
Partner with Security and Infrastructure teams to balance speed with compliance and reliability.
5+ years of Product Management experience, with a strong preference for candidates who have worked on Internal Developer Platforms (IDP), DevOps tools, or B2B technical products.
Technical Fluency: You can have deep technical conversations with engineers about CI/CD pipelines, microservices architecture, cloud infrastructure (AWS), and mobile release cycles.
Data-Driven: Experience using metrics like DORA, SPACE, or DevEx to guide decision-making and measure success.
Program Management: Strong technical program management skills to orchestrate complex, cross-functional initiatives.
Change Management: Proven ability to drive adoption of new tools and processes across a large, distributed engineering organization.
Working knowledge with our specific tech stack: AWS, Kubernetes, TypeScript, React Native, Kafka, and DataDog.
Familiarity with Backstage (Mission Control) or similar internal developer portals.
Experience implementing GenAI tools (e.g., GitHub Copilot, Cursor, Glean) in an enterprise environment to drive productivity.
Background in SRE or Platform Engineering principles.
Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to [email protected].
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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where developer experience was part of your work. What did you do?
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where ai adoption was part of your work. What did you do?
- Tell me about a project where ci cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Developer Experience, Platform Engineering, AI Adoption, and Ci Cd. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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