The OpportunityEvery product surface at Hinge Health-the ones helping 18M+ people move beyond pain-depends on the foundational infrastructure your team will own. As
Senior Engineering Manager, Service Enablement, you'll lead the platform-minded team responsible for keeping our cloud infrastructure rock-solid while accelerating the shift to AI-native engineering workflows. Your work will be a force multiplier for every engineer, product manager, and designer in the company. This is a high-impact leadership role for someone who thrives at the intersection of platform reliability, developer enablement, and autonomous AI-driven operations.
What You'll AccomplishIn your first 3 months:- Establish relationships with key stakeholders across Security, Product Engineering, Data Engineering, and the India-based SRE team. Audit the current infrastructure posture, on-call practices, and CI/CD pipelines to identify the highest-leverage improvement opportunities.
- Assess your team of 8-10 engineers (Staff, Senior, and mid-level SREs), understand individual growth trajectories, and begin shaping a coaching-first operating cadence.
In your first 6 months:- Own Platform Reliability & Scalability - Guarantee stability and performance across multiple EKS clusters, maintaining 99.9%+ uptime while optimizing cost-efficiency as AI workloads scale.
- Drive the Harness Engineering Initiative - Define safety rails, test harnesses, and verification systems that allow autonomous AI agents to reliably build, test, and maintain infrastructure in production-grade environments.
- Scale the NestJS Monorepo & CI/CD Platform - Accelerate migration of all NestJS services into the monorepo, ensuring NX, GitHub Actions, and Okteto deliver a world-class developer experience.
In your first year:- Execute Vendor Strategy & Cost Optimization - Own relationships with AWS, Datadog, Cloudflare, Temporal, and Infisical; deliver significant cost savings as Hinge Health scales infrastructure and AI workloads.
- Champion Operational Excellence - Run a follow-the-sun support model, maintain 24/7 on-call coverage, lead the Incident Review Board, and continuously improve SLOs, runbooks, and observability to reduce MTTR.
- Build a High-Performing, Inclusive Team - Develop talent toward Senior and Staff levels, maintain sustainable on-call practices, and foster a culture of blameless retros and continuous improvement.
Who You Are- A Platform Thinker - You see infrastructure as a product. You obsess over developer experience metrics (DXI, DORA, PR throughput) and build systems that reduce friction for every team you serve.
- AI-Forward - You're energized-not threatened-by the shift to AI-assisted engineering. You've experimented with tools like Cursor, Claude Code, or Copilot and can envision a world where engineers act as architects and auditors of AI-generated code.
- A Trust Builder - You communicate effectively across engineering, security, product, and executive stakeholders to align infrastructure decisions with business priorities.
- A Learn-it-All - You don't have all the answers, but you have a proven framework for finding them. You lead blameless retros that convert insights into action and measure what matters most.
- Hands-On & Accountable - You know the ins and outs of your team's tech stack and spend ~15% of your time working in the code. You take owner-operator pride in supporting production systems.
- Resilient - You thrive in fast-paced, ambiguous environments and can make results happen even with imperfect data-whether that's navigating a breaking-change migration at scale or an unexpected incident.
Basic Requirements- 10+ years of professional experience in technology, with depth in SaaS platforms and large-scale distributed systems.
- 4+ years managing engineering teams of 6+ direct reports, including Senior and Staff-level engineers.
- Deep hands-on expertise with cloud infrastructure (AWS), container orchestration (Kubernetes/EKS), and Infrastructure as Code (Terraform).
- Proven track record owning platform reliability at scale - including incident management, SLO-driven operations, and cost optimization.
- Cross-functional leadership experience spanning multiple engineering teams and geographies.
Preferred Requirements- Experience leading the adoption of AI-native engineering workflows (Cursor, Claude Code, Copilot) where engineers serve as architects and auditors of AI-generated infrastructure code.
- Passion for developer productivity - experience building internal platforms that measurably improve DXI, DORA metrics, or PR throughput.
- Deep SRE & Platform Engineering experience: production Kubernetes at scale, CI/CD platforms (GitHub Actions, Helm), observability (Datadog), and secrets management (Infisical, Vault).
- Experience with trunk-based CI/CD, healthcare compliance (HIPAA, HITRUST, SOC 2, CCPA), and NestJS/TypeScript ecosystems.
