Senior Engineering Manager, Platform

Role overview Lead a platform engineering group responsible for the core services, APIs, shared components, and developer tools used across a software product. Set the technical direction and team roadmap, balancing enterprise customer needs with delivery speed, reliability, and consistent engineering practices. The team includes ten engineers, among them senior and staff-level contributors.

Responsibilities - Hire, onboard, coach, and develop engineers; manage performance and career growth. - Set platform strategy and prioritize work across shared services, reusable components, and internal developer tooling. - Guide architecture for SaaS, single-tenant enterprise, and government-cloud environments with senior technical contributors. - Work with product, design, AI, and infrastructure leaders to turn customer needs into platform investments and make build, buy, and ownership decisions. - Lead cross-team efforts to improve delivery speed, reliability, and consistency; establish and drive adoption of service, data, and integration standards. - Oversee deployment tools and internal developer capabilities, and own operational practices such as reliability goals, incident response, on-call, and delivery predictability. - Define team measures and communicate progress and trade-offs to executives.

Requirements - At least 10 years of software engineering experience, including 3 or more years managing engineers; experience managing managers or multiple teams is useful. - Significant experience building product-facing platforms or foundational application services, with technical depth to review designs and advise senior engineers. - Demonstrated ability to hire, develop, and retain strong engineers through coaching and performance management. - Product judgment and a record of delivering platform capabilities that support customer outcomes. - Experience setting technical strategy across teams and aligning product, design, and executive stakeholders. - Familiarity with cloud platforms, Kubernetes, and distributed systems; AWS experience is preferred. - Clear written and spoken communication, and sound judgment about what belongs in a platform.

Nice to have Experience with AI product platforms, agent frameworks, model orchestration, multi-tenant and single-tenant deployments, or early-stage platform leadership.

Benefits and work setup Open to remote candidates anywhere in the United States; employees in the Bay Area work hybrid. Benefits include equity, health and wellness coverage, flexible time off and schedules, technology reimbursement, a 401(k) plan, and twice-yearly in-person U.S. offsites.