Product Manager, Yahoo DSP (Supply)

Responsibilities

• Roadmap Execution & Ownership: Own the end-to-end product lifecycle for a defined area of the DSP supply platform, translating market requirements into actionable technical roadmaps from problem definition through launch and adoption.
• Integrations & Standards: Drive SSP and exchange integrations, evaluating partner inventory quality, scoping OpenRTB requirements, and leading features through engineering, QA, and production ramp.
• AI-Augmented PM Workflows: Leverage generative AI capabilities (e.g., Anthropic Claude via AWS Bedrock and Atlassian AI) to rapidly draft comprehensive PRDs, synthesize seller feedback, and automate user story creation.
• Supply Quality & Transparency: Advance supply hygiene and transparency standards, including sellers.json, SupplyChain Object, ads.txt/app-ads.txt validation, and fraud/IVT signal integration.
• Data-Driven Analysis: Utilize AI-assisted SQL generation and data tools to perform deep-dive analyses on high-volume RTB logs, identifying supply path inefficiencies, SPO opportunities, and performance anomalies.
• Cross-Functional Partnership: Collaborate closely with Engineering, Supply Partnerships, Yield Management, and Buy-Side Product teams to align supply capabilities with advertiser demand and commercial goals.
• Measurement & Iteration: Instrument all launched features with explicit KPIs and telemetry up front, monitoring post-launch performance to make data-backed decisions on iteration or deprecation.
• Basic Qualifications
• 4+ years of product management experience, or equivalent technical ad tech experience (solutions engineering, yield management, or ad ops with product ownership).
• Demonstrated track record of working directly with engineering teams to write clear, technically sound PRDs and API specifications without rework.
• Experience utilizing AI-assisted tools (e.g., generative writing assistants, AI SQL copilots) to streamline documentation, data extraction, and workflow efficiency.
• Strong quantitative and analytical background with hands-on experience querying and interpreting large datasets (SQL or equivalent).
• Proven ability to communicate technical concepts clearly across diverse audiences, including software engineers, business executives, and external supply partners.