Technical Product Manager II role focused on publisher-facing product capabilities including coverage, pricing, yield, rules-based logic, integration and API support, experimentation tooling, and SSP/DSP capabilities. Requires 3-5 years experience in ad tech, personalization, or media companies as product manager, engineer, or data scientist. Must be able to read code, navigate APIs, query databases, and understand data pipelines and rules engines. Experience with vibe coding, prototyping, agentic workflows, SSP/DSP mechanics, experimentation platforms, and A/B testing required. Responsibilities include owning product roadmap, translating partner requirements into specs, driving integration and API support, managing experimentation platform execution, and collaborating across teams. Compensation ranges from $130,000 to $165,000 plus bonus and equity. On-site in New York, United States.
What you'll do
Serve as the product owner for publisher-facing capabilities, translating partner requirements from Supply, Finance, Pricing, and Business Development into clear specs and shipped features
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Requirements
3 to 5 years of experience in ad tech, personalization, or large-scale media companies as a product manager, engineer, or data scientist
Ability to read code, navigate API contracts, query databases, and reason about data pipelines and rules engines
Hands-on experience with vibe coding, prototyping, and agentic workflows
Working knowledge of SSP and DSP mechanics, including auction dynamics, coverage and fill, floor pricing, and yield tradeoffs
Ability to manage a roadmap against competing priorities from multiple stakeholders
Strong written communication skills with the ability to turn complex partner requests into buildable specs
Bias for action in fast-moving, ambiguous environments
Experience owning or building supply-side products, yield management tooling, or rules and pricing engines
Background in publisher integrations, SDK work, or programmatic plumbing (tags, prebid, server-side integrations, API versioning)
Experience with experimentation platforms, offline evaluation, and online A/B testing at scale
Prior engineering or data science background with a shift into product
