Responsibilities

Lead platform teams that build and evolve core developer tooling (spanning build/test infrastructure, CI, local development environments, and developer workflows) to improve engineer productivity and time-to-value.
Drive reliability improvements across the developer-facing critical path: reduce CI flakiness, improve build/test speed, and ensure fast, reliable feedback loops for both human and agent-generated changes.
Partner with Release Engineering and Cloud Infrastructure on shared goals: your team ensures the build/test foundation is solid; they own the release and deploy paths that depend on it.
Ensure operational excellence for developer platform services with clear SLOs, robust observability, and incident/bug management practices.

Own the strategy and execution for AI-assisted and autonomous developer workflows — evaluating, building, and deploying tools that automate mechanical tasks (lint fixes, test triage, code review, CVE remediation) so engineers can focus on architecture and product problems.
Partner with Security Engineering to deliver and operate secure sandboxed environments for agentic AI tool use, enabling agents to edit, build, test, and open PRs safely.
Stay current with the rapidly evolving AI developer tooling landscape. Run fast experiments — prototype, measure, and make kill/scale decisions quickly, while building durable solutions where the signal supports it.
Define and track success metrics for AI tooling: adoption rates, time saved, CI impact, and developer satisfaction.

Treat internal engineers as your customers. Gather feedback, measure adoption, and iterate on what you ship, not just launch and move on.
Drive org-wide adoption of new tools, workflows, and standards. Build the documentation, enablement, and evangelism that turn a good tool into an org-wide habit.
Establish and use developer efficiency metrics (e.g., build/test times, CI pass rates, change failure rate, AI tool adoption) to identify bottlenecks and plan ambitious improvements.

Coach and develop engineers and leads; provide actionable feedback, elevate technical execution, and foster an inclusive, high-accountability culture.
Collaborate closely with Engineering Operations, Security Engineering, Cloud Infrastructure, Product, and Design to synthesize requirements and prioritize impactful investments.
Partner with Engineering Operations to improve processes for alignment, goal setting, empowerment, and cross-team execution across Engineering.
Communicate effectively with both technical and non-technical stakeholders, adjusting altitude from strategy to technical deep dives as needed.

Requirements

5+ years as a senior engineer building developer productivity tools and/or highly available platform services (e.g., storage, pub-sub, search, caching, observability) and/or deep experience with infrastructure/cloud technologies (e.g., Terraform, Kubernetes, Docker).
3+ years directly managing software engineers and/or technical leads, including hiring, coaching, performance management, and growing a high-performing team.
2+ years building and leading developer experience or platform teams that deliver internal platforms and tooling with measurable productivity outcomes (e.g., faster builds/tests, improved CI/CD lead times, higher deployment frequency).
Experience with AI developer tooling: evaluated, deployed, or built AI-powered tools for engineering teams (code generation, AI-assisted code review, automated testing, or similar).
Experience managing scalable database infrastructure (e.g., Postgres, MySQL).
Comfortable with ambiguity and building from scratch.