Job description

Three things make this different from a traditional program role: AI systems don’t ship like software. Launch readiness isn’t a pass/fail test matrix. You’ll work with engineering to define evaluation criteria, track quality and regression signals as program health metrics, and make release calls under genuine uncertainty about infinite use cases. You’ll operate as an AI-Native EPM. We expect you to use AI agents and assistants as a working partner — drafting status, synthesizing meeting notes, building your own lightweight tooling, automating reporting that used to be manual. We measure EPMs on outcomes delivered, not hours of coordination performed. If you’ve never automated a piece of your own job, this isn’t the right fit. Adoption, Engagement, Retention is the deliverable. Shipping the platform is half the program. You’ll track usage, retention, and business impact, and feed what you learn back into the roadmap. 3+ years of industry experience in an engineering, technical product, or technical program role. 1+ years managing AI programs or projects across multiple teams toward a shared objective. Demonstrated use of AI tools in your own work — automating analysis, drafting, prototyping, or building something you then used. Be ready to show us what you built. BS in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Exposure to AI/ML or data platform programs — model deployment, evaluations, RAG or agentic systems, or data pipelines. Working understanding of how AI systems differ from deterministic software: non-determinism, evaluation, and what “quality” means when there’s no single correct output. Comfort with ambiguity in a fast-moving, high-visibility environment, exercised with discretion and integrity. Outstanding written and verbal communication; you can compress a complex program into three lines for an executive and expand it to a design review for engineers.

Requirements

Must-haves

Adoption, Engagement, Retention is the deliverable. Shipping the platform is half the program. You’ll track usage, retention, and business impact, and feed what you learn back into the roadmap.
3+ years of industry experience in an engineering, technical product, or technical program role.
1+ years managing AI programs or projects across multiple teams toward a shared objective.
Demonstrated use of AI tools in your own work — automating analysis, drafting, prototyping, or building something you then used. Be ready to show us what you built.
BS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Exposure to AI/ML or data platform programs — model deployment, evaluations, RAG or agentic systems, or data pipelines.
Working understanding of how AI systems differ from deterministic software: non-determinism, evaluation, and what “quality” means when there’s no single correct output.
Comfort with ambiguity in a fast-moving, high-visibility environment, exercised with discretion and integrity.
Outstanding written and verbal communication; you can compress a complex program into three lines for an executive and expand it to a design review for engineers.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: apple
Effort: medium