Platform Engineering Manager

Overview

What you will do

• Lead a platform engineering team, contributing to and driving roadmaps for efficient CI/CD pipelines, developer workflows, and internal developer tooling.
• Build and curate a "one-stop shop" developer experience by integrating tooling and capabilities from across platform (SRE) groups into a single, self-service interface that gives engineers clear visibility into how their services are performing—including signals like SLO health—so they know when adjustments may be needed.
• Own capacity planning and define right-sized architecture patterns and templates that let engineering teams move and ship confidently without needing the deep platform or infrastructure expertise held by other groups, continuously refining these patterns so that building or scaling a new service gets easier each time.
• Lead development of AI-powered platform tooling, including agent-based workflows that gather context and generate structured, human-reviewed plans for complex platform changes, and automation that streamlines recurring SRE/support workflows (e.g., ticket routing, patching, intake)—getting smarter as more issues are resolved.
• Partner with Engineering, Infrastructure, Security Engineering, and Product—and continuously listen to developer pain points and feedback—to synthesize requirements and prioritize the platform investments with the greatest impact.
• Coach and develop engineers, including technical leads and senior engineers, through frequent feedback and technical guidance, fostering a high-accountability, inclusive culture of end-to-end ownership and fast iteration where failure is treated as a learning opportunity.
• Communicate effectively with technical and non-technical stakeholders, adjusting your approach from strategic framing to technical deep dives as needed.

What we are looking for

AI Skills/Knowledge

• Experience using AI tools for planning and execution—such as roadmap planning, prioritization, and synthesizing requirements or developer feedback into actionable plans.
• Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor for tasks like PR review, documentation, and technical writing.
• Comfort using AI to support day-to-day management and program management work, including status updates, meeting synthesis, and cross-team communication.
• Familiarity with large language model APIs and agent-based workflows, with sound judgment for evaluating which AI tools and approaches are worth adopting for the team.
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