Senior Product Manager, Analytics and Agentic Platform

What You'll Do

AI and Agentic Platform

• Define the product vision, strategy, and roadmap for PubMatic's shared AI and Agentic Platform, enabling teams company-wide to build and operate production-grade AI agents.
• Own platform capabilities including agent orchestration, model and tool integration, context and knowledge management, evaluation frameworks, observability, governance, and reusable agent infrastructure.
• Lead the strategy and development of publisher- and marketplace-facing AI experiences that transform complex marketplace data into actionable intelligence.
• Build rigorous evaluation methodologies combining offline evaluation, golden datasets, LLM-based evaluation, human review, experimentation, and production telemetry.
• Define success metrics across AI quality, customer adoption, task completion, business impact, latency, reliability, and cost.
  

  Data Visualization, Reporting & Analytics

• Define, develop, and execute the vision, roadmap, and requirements for PubMatic's data visualization, reporting, and analytics platform.
• Develop clear, compelling PRDs and user stories for new initiatives and enhancements, including business justification, revenue potential, and operational impact.
• Monitor product adoption, proactively identify opportunities, and make actionable recommendations to drive uptake and effectiveness.
  

  Common Responsibilities

• Validate product direction through customer and internal stakeholder interaction and by analyzing market and product trends.
• Create and maintain a prioritized product backlog.
• Work closely with UX and engineering teams to guide development and testing.
• Partner with Sales, Services, and Product Marketing on training, collateral, and product rollout, and evangelize PubMatic offerings internally and to prospects and the installed base.
• Own the full product lifecycle, from opportunity identification and strategy through requirements, experimentation, launch, adoption, measurement, and iteration.

We'd Love for You to Have

Required Qualifications

• 6-8+ years of Product Management experience, including 1-2 years of hands-on experience leading technically complex agentic platforms and building AI agents in production, and experience in data visualization, analytics, or business intelligence.
• Strong understanding of modern AI application architecture, including LLMs and reasoning models, Retrieval-Augmented Generation and knowledge systems, agent orchestration and tool use, AI evaluation and experimentation, prompt and context engineering, and observability and production monitoring.
• Demonstrated ability to identify business problems and strategic, revenue-generating opportunities.
• Demonstrated ability to partner deeply with engineering and AI teams, making thoughtful product and technical tradeoffs.
• Experience taking ambiguous, zero-to-one products from concept through production and measurable adoption.
• Strong analytical skills, with the ability to define metrics and evaluation frameworks for probabilistic AI systems.
• Firm sense of accountability and ownership for the end-to-end product lifecycle.
• Excellent communication skills, with the ability to translate between technical teams, customers, and senior leadership.

Preferred Qualifications

• 2-5 years of experience in the online advertising industry, including ad tech, programmatic advertising, and marketplaces.
• Experience building enterprise AI products where reliability, governance, privacy, security, and explainability are critical.
• Familiarity with agent interoperability standards and architectures, such as MCP, agent-to-agent communication, structured tool calling, and multi-agent systems.

Qualifications:

• Bachelor’s degree in Mathematics or an Engineering discipline (e.g., Computer Science), or equivalent experience.

Additional Information: