Senior Product Manager, Custom Algorithms

The Role

This role is accountable for the growth and performance of Cognitiv's Custom Algorithms product by defining what the market needs from it, which KPIs it optimizes toward, and how we drive adoption. You will work closely with Data Science, Engineering, Sales, Customer Success, and Product Marketing to deliver new products and capabilities that drive revenue growth and customer retention.

Location: This position will be located in NYC, San Mateo, or Bellevue with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote optional (Thursday/Friday).

What You’ll Do:

• End-to-End Roadmap Ownership for Custom Algorithms. Lead product strategy, prioritize high-impact features, and make the hard calls on what to ship, defer, or decline.
• Data Science Partnership. Set the product goals models optimize toward, and agree the quality bar a model must clear before launch with Data Science and Engineering. Data Science owns modeling approach, features, and technical execution. You own what good looks like.
• Performance Accountability. When campaigns underperform, size the commercial impact and drive prioritization with Data Science and Engineering through to resolution.
• Adoption and Commercial Fit. Partner with Sales, Customer Success, and Product Marketing to drive uptake across the advertiser base. Define which advertisers are a good fit, set clear performance expectations before a campaign launches, and know when to decline.
• Scalable Delivery. Drive down the manual effort and time required to launch each custom model, working with Data Science and Engineering to define what needs to change and prioritizing it on the roadmap.
• Market and Revenue Growth. Identify which types of customers we should be going after and how, determine which new KPI models to build, uncover new opportunities, and expand top-line growth.
• Cross-Functional Leadership. Own the product point of view for Custom Algorithms across Data Science, Engineering, Sales, Customer Success, Product Marketing, and executive leadership.

Who you are:

• AI & ML Product Fluency. You've worked on products where ML was the core of the value, so you know how they behave: data requirements, probabilistic output, performance that drifts. You keep current on what's becoming possible in AI and what it means for products like ours. You can judge whether a model is serving the product goal, push back when it isn't, and be taken seriously by the people who build it.
• 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 tell 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 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 write specs engineering can build from without follow-up clarification sessions. You're the accountable owner, not a coordinator.
• Credible in the Room. You present with authority to advertisers and to executives, and you can hold a room when the news isn't good.
• Proven Track Record. 5+ years in Product Management, or in data science / ML engineering with direct product ownership.

Bonus Points If You Have:

• 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.
• Enthusiasm for staying up to date with the latest AI technologies and trends and identifying ways to apply them to products.

Salary:

$175,000 - $210,000 Base Salary + Equity