Two years ago we launched an AI feature that no one used. Not because the model was bad — the model was actually quite good. It was because we shipped something technically impressive that solved a problem our users didn't have. That failure changed how we think about product strategy entirely. We now run discovery sessions every month, validate assumptions with data before committing to a roadmap, and obsess over the gap between what users say they want and what they actually do. We're hiring an AI Product Strategist to be the person who holds that thread — who can sit in a customer call, understand the pain, translate it into a product hypothesis, sanity-check it against what's technically feasible, and turn it into a prioritised roadmap item with a clear success metric. You don't need to have a CS degree. You do need to have a track record of making good product bets with imperfect information.
Responsibilities
Lead quarterly discovery cycles to identify the highest-value AI opportunities
Write product strategy documents that connect user pain to business value to technical feasibility
Define success metrics for AI features before development begins
Collaborate with engineering and ML teams on tradeoff decisions and scope
Present strategy and roadmap to leadership and major customers
Requirements
4–6 years in product strategy or senior product management, with AI products specifically
Able to interpret data independently — SQL queries, funnel analysis, statistical significance
Comfort with Python for light data analysis and working with technical documentation
Experience evaluating AI feasibility — you know what questions to ask the ML team
Familiarity with LLM capabilities and limitations in a product context (via OpenAI API or equivalent)
Exceptional written communicator — strategy memos, PRDs, and executive presentations
Benefits
Strategic ownership across an AI-first product suite
Full remote with quarterly in-person strategy sessions