Sr. Engineering Manager - Platform APIs
Listed on 2026-02-12
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IT/Tech
Systems Engineer, Cloud Computing
Please Note:
This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with Bamboo
HR is contingent on passing both a background and credit check.
The Senior Engineering Manager for Platform APIs will lead the PlatAPI team in building Bamboo
HR’s next-generation API platform. This role oversees the engineering teams responsible for API standards, the API Gateway rollout, developer enablement tooling, authentication modernization, and the foundational infrastructure required to support AI-agent consumption of Bamboo’s APIs.
A typical day includes partnering with Product, Architecture, and other platform leaders to drive strategy; coaching engineers and tech leads; reviewing architectural decisions; unblocking cross‑team dependencies; aligning rollout plans; and ensuring delivery quality. The Sr EM will play a central role in shaping Bamboo
HR’s move toward a headless, API‑first, AI‑ready platform.
- Recruit, interview, hire, and develop engineers, senior engineers, and staff‑level engineers.
- Oversee the daily workflow, delivery cadence, and execution practices of the team.
- Provide structured, actionable feedback; perform timely and growth‑oriented evaluations.
- Handle coaching, performance concerns, and disciplinary processes in partnership with HR.
- Manage up to two scrum teams or 12–18 engineers across backend and frontend disciplines.
- Lead the engineering team responsible for Bamboo
HR’s Platform APIs, including API Gateway integration, API standards implementation, authentication upgrades, and developer enablement. - Drive architectural alignment across multiple teams by partnering with Principal Engineers, Architects, and Product leaders.
- Elevate engineering quality through strong practices around versioning, schema evolution, authorization, observability, and platform health.
- Manage delivery of multi‑team API features and platform rollouts with predictable execution and proactive risk mitigation.
- Build strong partnerships with Product, Program Management, Design, Data Engineering, and Agent Platform teams to ensure all stakeholders share context and direction.
- Support engineers’ growth through coaching, role clarity, technical leadership development, and performance accountability.
- Establish a culture of ownership, psychological safety, continuous improvement, and outcome‑driven engineering.
- 7+ years in software engineering with 5+ years managing engineering teams; experience managing multiple teams or highly technical platform areas.
- Deep understanding of API architecture, versioning strategies, eventing/webhooks, authentication/authorization, and developer platform enablement.
- Experience driving platform modernization or leading teams through foundational technical rewrites (gateways, API ecosystems, schema evolution, etc.).
- Strong cross‑functional collaboration skills; able to partner with Product, Architecture, Data, and AI teams.
- Excellent verbal and written communication skills; able to translate complex technical strategy into actionable plans.
- Strong leadership abilities with a track record of developing engineers, senior engineers, and technical leaders.
- Proven ability to manage delivery across multiple initiatives, balance tradeoffs, and keep teams focused on highest‑impact outcomes.
- Strong organizational skills; ability to maintain clarity across many moving pieces.
- Ability to thrive in a high‑paced environment involving ambiguity, technical complexity, and cross‑team dependencies.
- Proficient in modern development practices, CI/CD, Dev Ops, observability, and secure‑by‑design engineering.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Experience building or scaling API platforms at a SaaS company.
- Prior work with API Gateways (e.g., Kong, Tyk, Apigee), Graph
QL federation, or schema registries. - Exposure to AI‑agent architectures, LLM‑driven API evaluation, or AI‑readiness modeling.
- Experience working in platform engineering organizations or headless architecture transitions.
- Prior success managing PM‑Engineering partnership structures for…
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