$ cat jobs/ai-product-leader-blank-metal-4f39580462aa.json
AI Product Leader
DEPARTMENT Product LOCATION Minneapolis, MN (Hybrid) TYPE Full time REPORTS TO Head of Product THE ROLE The AI Product Leader sits at the intersection of product delivery, engagement leadership, and applied AI strategy. In practice it looks like: ~40% product delivery, ~40% client leadership, ~20% AI strategy. You will lead 2–3 concurrent engagements and be accountable for shipping, adoption, and measurable impact. WHAT YOU GET TO DO 1) Product delivery and execution - Own backlogs, prioritization, and sprint execution across 2–3 engagements. - Run standups, planning, retros, and cross-team coordination with engineering/design/data. - Write crisp user stories and acceptance criteria; make trade-offs under real constraints. - Ensure production readiness: security, compliance, data governance, deployment, and operational runbooks. - Drive post-launch iteration using user feedback, telemetry, and KPI performance. 2) Client and engagement leadership - Lead client working sessions and check-ins; steer decision-making with exec and practitioner stakeholders. - Translate ambiguity into clear plans, milestones, and measurable outcomes. - Own delivery health: scope, risks, dependencies, and expectation management. - Partner with the engagement lead/account team on renewals/expansions and executive readouts (no hard sales quota). 3) Applied AI strategy (GenAI-heavy) - Help clients choose the right approach: workflow redesign, retrieval, tool use, evaluation strategy, rollout. - Design evaluation and measurement: rubrics, golden datasets, offline/online testing, and monitoring plans. - Make practical architecture-level recommendations with engineers (you don’t have to be the architect). - Stay current on model capabilities/limits and translate that into realistic product decisions. WHAT WILL HELP YOU SUCCEED - You have shipped software to production and can point to what you built, what changed, and how it performed. - You can run delivery: budget, backlog, sprints, trade-offs