Senior Product Manager, Custom Algorithms

Cognitiv•Bellevue, NY

9d•Hybrid

About The Position

At Cognitiv, we are redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission is to bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. Our innovative platform offers advertisers unprecedented flexibility. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. This role is accountable for the growth, strategic direction, and performance of Cognitiv's Custom Algorithms product by defining market needs, optimizing KPIs, and driving adoption and revenue growth. You will collaborate closely with Data Science, Engineering, Sales, Customer Success, and Product Marketing to deliver new products and capabilities that drive top-line revenue growth and customer retention.

Requirements

5+ years in Product Management, or in data science / ML engineering with direct product ownership.
AI & ML Product Fluency: Experience with products where Machine Learning and/or Deep Learning were core to the value, understanding data requirements, probabilistic output, and performance drift.
Commercial ML Track Record: Experience owning ML products where the output was money (e.g., driving measurable revenue growth), such as recommendations, pricing, risk, fraud, search ranking, marketplace matching.
Technical Translator: Ability to translate model behavior into commercial language and explain technical concepts to advertisers and sales leads.
Analytically Self-Sufficient: Ability to pull and interrogate performance data independently and form hypotheses for underperforming campaigns.
Accountable Product Owner: Experience owning a technical product end-to-end, including discovery, shipping, and making tradeoff calls with incomplete information.
Credible in the Room: Ability to present with authority to advertisers and executives and manage difficult conversations.
Ability to write specs engineering can build from without follow-up clarification sessions.

Nice To Haves

Programmatic advertising experience, including bidding and auction mechanics, campaign KPIs, and attribution.
Causal and experimental rigor: Ability to design a holdout, reason about selection effects, and determine if a model is creating outcomes or finding existing ones.
A hands-on modeling background, or experience writing SQL and Python.
Experience turning a bespoke, specialist-delivered offering into something repeatable and productized.
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.

Responsibilities

Lead product strategy for Custom Algorithms from vision to execution.
Prioritize high-impact features, evaluate incoming custom client requests strategically to determine if they are worth pursuing, and make decisions on what to ship, defer, or decline.
Set the product goals models optimize toward, and agree on the quality bar a model must clear before launch with Data Science and Engineering.
Monitor and analyze campaign performance to ensure algorithms perform at a high level.
When campaigns underperform, size the commercial impact and drive prioritization with Science and Engineering through to resolution.
Partner directly with Sales, Customer Success, and Product Marketing to drive uptake across the advertiser base.
Support Sales on strategic client calls when deep product expertise is needed.
Define which advertisers are a good fit, set clear performance expectations before a campaign launches, and know when to decline.
Drive down the manual effort and time required to launch each custom model, working with Data Science and Engineering to establish a repeatable, scalable process for running custom algorithms.
Conduct market research to understand industry trends, evaluate how our product stacks up against competitors, and uncover new opportunities.
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.
Own the product point of view for Custom Algorithms across Data Science, Engineering, Sales, Customer Success, Product Marketing, and executive leadership.

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
Comprehensive onboarding (Cognitiv University)