As the leader of the AI Enablement team, you are responsible for setting direction, prioritizing and planning, and holding the bar for what optimizations get built and why. Day-to-day, you’ll partner with cross-functional stakeholders to identify development/build and integration bottlenecks and determine how to use AI solutions to optimize and transition into scalable platform solutions, while coaching your team to operate with product discipline and engineering rigor. You’ll serve as an internal evangelist for AI-powered developer tooling, shaping culture and capability across engineering organizations— bringing a relentless growth mindset, thriving in ambiguity rather than needing certainty, and staying restless for what’s next rather than settling into the status quo.
Demonstrated AI proficiency, with hands-on understanding of how AI tools and platforms fit into modern Application software development workflows, as well as having led the implementation of AI into software development processes. Using AI to build Applications.
Proven experience leading a platform engineering, developer experience, or software tooling organization as a formal engineering manager or technical lead
Additionally, minimum 5 years of experience as a SW engineer
Track record of applying product-minded thinking to infrastructure or developer tooling — making build-vs-buy decisions grounded in developer impact, not just technical possibility
Strong background in engineering-aware program management, with the ability to understand and navigate the full idea-to-shipped-code lifecycle
Exceptional communication and presentation skills, with experience influencing senior technical and non-technical stakeholders
Demonstrated ability to evangelize new technologies or platforms internally, driving adoption and shifting engineering culture
Experience specifically in a Platform Engineering Lead or Developer Experience (DevEx) Lead role with direct responsibility for internal tooling ecosystems
Familiarity with SRE principles, on-call culture, and reliability engineering as applied to internal developer platforms
Skilled in translating developer productivity metrics and qualitative feedback into compelling strategic narratives for leadership
Deep expertise in AI/ML developer tooling, LLM integration patterns, or MLOps infrastructure at scale
Hands-on experience with developer platform technologies such as CI/CD orchestration, internal IDPs (Internal Developer Platforms), or AI-assisted code tools