Senior Engineering Manager, Service Enablement

About this role

The Opportunity Every 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 Accomplish In 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 At minimum, 3-4 years of professional experience in technology, with depth in SaaS platforms and large-scale distributed systems. At minimum, 3-4 years managing engineering teams of 6+ direct reports Bachelor’s Degree (or equivalent) in Computer Science, Engineering, or a related technical field. 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 5+ years managing engineering teams of 6+ direct reports, including Senior and Staff-level engineer Bachelor’s Degree (or equivalent) or Masters in Computer Science, Engineering, or a related technical field. 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 m