Requirements

• Proven experience owning machine‑learning or data‑driven products in production — predictive scoring, propensity, ranking, forecasting, or similar data‑rich products. Strong fit for current Product Managers; also open to Engineering Managers, ML Engineers, or tech leads who have shaped product direction end‑to‑end and are ready to make the switch into a PM seat
• Hands‑on delivery instincts — equally comfortable in Jira (writing specs, defining epics, refining the sprint backlog, unblocking the team) as in strategic planning and stakeholder management. Co‑leads the team day‑to‑day with your engineering manager pair
• Hands‑on partnership with data science and machine‑learning engineering teams — partnering on model evaluation, retraining cadence, feature decisions, and release discipline
• Strong analytical fluency — SQL proficiency, comfort interpreting model evaluation metrics, and the habit of interrogating performance at se...