Requirements

• Deep ML & AI Literacy. You have real depth in machine learning. You reason fluently about training data, features, evaluation metrics, and retraining, enough to challenge a data scientist's assumptions and be taken seriously doing it. You don't need to build the models. You do need to understand why one is underperforming.
• Commercial ML Track Record. You've owned ML products where the output was money, not a metric. Recommendations, pricing, risk, fraud, search ranking, marketplace matching. High-volume inference, noisy feedback, and a real commercial consequence when the model is wrong.
• Technical Translator. You translate model behavior into commercial language. You can explain to an advertiser why their conversion volume isn't enough to train on, and to a sales lead what "good" looks like before the deal is signed. This is the highest-leverage skill in the role.
• Analytically Self-Sufficient. You're analytically self-sufficient. You pull and interrogate performance data yourself. Given an underperforming campaign, you arrive with a hypothesis, not a request for someone else to look into it.
• Accountable Product Owner. You've owned a technical product end to end. Discovery through ship, with the tradeoff calls made on incomplete information. You're the accountable owner, not a coordinator.
• Master Communicator. You synthesize complex algorithmic systems into compelling narratives that align internal executives and instil confidence in external clients.
• Proven Track Record. 5+ years in Product Management, or in data science / ML engineering with direct product ownership

Preferred

• Programmatic advertising experience, including bidding and auction mechanics, campaign KPIs, and attribution
• Causal and experimental rigor. You can design a holdout, reason about selection effects, and tell whether a model is creating outcomes or just finding people who would have converted anyway
• A hands-on modeling background, or you still write SQL and Python
• Experience turning a bespoke, specialist-delivered offering into something repeatable
• Familiarity with signal loss and privacy, including first-party data onboarding, clean rooms, and identity

Benefits

• Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees
• 12 weeks paid parental leave + 4 weeks WFH
• Unlimited PTO + Work-From-Anywhere August
• Career development with clear advancement paths
• Equity for all employees
• Hybrid work model & daily team lunch
• Health & wellness stipend + cell phone reimbursement
• 401(k) & RRSP with employer match
• Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits
• Employee Assistance Program