Job description

About the Role PubMatic is building the next generation of AI-powered products for digital advertising, including intelligent agents that help customers monitor marketplace performance, identify new opportunities, troubleshoot issues, make recommendations, and ultimately take action. We are looking for a highly technical and customer-oriented Product Manager to lead our Agentic Platform and AI strategy. This role will own the foundational capabilities that enable teams across PubMatic to rapidly build, evaluate, deploy, and operate production-grade AI agents, while also leading development of strategic customer-facing AI experiences. You will work at the intersection of Generative AI, agentic systems, advertising technology, data, and product experience, partnering closely with engineering, design, and commercial teams to turn emerging AI capabilities into scalable products that deliver measurable customer and business outcomes. What You'll Do: Define the product vision, strategy, and roadmap for PubMatic's shared AI and Agentic Platform, enabling teams across the company 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. Define clear success metrics across AI quality, customer adoption, task completion, business impact, latency, reliability, and cost. Build rigorous evaluation methodologies combining offline evaluation, golden datasets, LLM-based evaluation, human review, experimentation, and production telemetry. Own the full product lifecycle from opportunity identification and product strategy through requirements, experimentation, launch, adoption, measurement, and iteration. We'd Love for You to Have: 6 to 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. Strong understanding of modern AI application architecture, including concepts such as: 1. LLMs and reasoning models 2. Retrieval-Augmented Generation and knowledge systems 3. Agent orchestration and tool use 4. AI evaluation and experimentation 5. Prompt and context engineering 6.Observability and production monitoring Demonstrated ability to partner deeply with engineering and AI teams, making thoughtful products and technical trade-offs. Experience taking ambiguous, zero-to-one products from concept through production and measurable adoption. Strong analytical skills and ability to define metrics and evaluation frameworks for probabilistic AI systems. Excellent communication skills with the ability to translate between technical teams, customers, and senior leadership. Experience with advertising technology, programmatic advertising, and marketplaces is preferred. 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. Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: Return to Office : PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits : Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

Requirements

Must-haves

Define the product vision, strategy, and roadmap for PubMatic's shared AI and Agentic Platform, enabling teams across the company 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.
Define clear success metrics across AI quality, customer adoption, task completion, business impact, latency, reliability, and cost.
Build rigorous evaluation methodologies combining offline evaluation, golden datasets, LLM-based evaluation, human review, experimentation, and production telemetry.
Own the full product lifecycle from opportunity identification and product strategy through requirements, experimentation, launch, adoption, measurement, and iteration.
6 to 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.
Demonstrated ability to partner deeply with engineering and AI teams, making thoughtful products and technical trade-offs.
Experience taking ambiguous, zero-to-one products from concept through production and measurable adoption.
Strong analytical skills and ability to define metrics and evaluation frameworks for probabilistic AI systems.
Excellent communication skills with the ability to translate between technical teams, customers, and senior leadership.
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.
Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university.

Nice-to-haves

Experience with advertising technology, programmatic advertising, and marketplaces is preferred.

Application prep

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Keywords to mirror

aillm

Platform: greenhouse
Effort: quick

Benefits

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Vision