Qualifications: 4+ years managing engineering teams at scale, with a track record of shipping production AI or LLM-powered features Deeply technical and passionate about the AI landscape - LLMs, agents, evals, prompting, the trade-offs between frameworks Strong product instincts - you've worked closely with PMs, designers, and users, and you make calls about what to build based on outcomes, not output Experience driving org-wide adoption of a new technology - cloud migration, observability rollout, AI tooling, anything where the technical work was the easy part A bias toward adoption and measurable impact, energized by driving org-wide change in a space with no established playbook to inherit - you build the playbook Comfortable operating across technical and non-technical audiences; you can hold your own with engineers on architecture trade-offs and with Finance or Ops leaders on workflow change
