PubMatic is seeking a senior Product Manager to lead the Agentic Platform and AI strategy, focusing on AI-powered products for digital advertising. The role involves defining product vision, owning platform capabilities such as agent orchestration and evaluation frameworks, and leading development of AI experiences for publishers and marketplaces. Candidates should have 6-8+ years of product management experience with 1-2 years in technically complex AI agentic platforms, strong understanding of AI architectures including LLMs, retrieval-augmented generation, and observability. Responsibilities include managing the full product lifecycle, defining success metrics, and building evaluation methodologies. Preferred experience includes advertising technology and enterprise AI product development with emphasis on reliability, governance, and security. The position is full-time with a hybrid work schedule based in Pune, India. Benefits include parental leave, healthcare, broadband reimbursement, and office amenities.
What you'll do
Define product vision, strategy, and roadmap for AI and Agentic Platform
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Own platform capabilities including agent orchestration, model and tool integration, context and knowledge management, evaluation frameworks, observability, governance, and reusable agent infrastructure
Lead strategy and development of publisher- and marketplace-facing AI experiences
Define success metrics across AI quality, customer adoption, task completion, business impact, latency, reliability, and cost
Build evaluation methodologies combining offline evaluation, golden datasets, LLM-based evaluation, human review, experimentation, and production telemetry
Own full product lifecycle from opportunity identification through launch, adoption, measurement, and iteration
Requirements
6 to 8+ years of Product Management experience
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 LLMs, reasoning models, retrieval-augmented generation, agent orchestration, AI evaluation, prompt and context engineering, observability, and production monitoring
Ability to partner deeply with engineering and AI teams and make thoughtful product 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 to translate between technical teams, customers, and senior leadership
Preferred experience with advertising technology, programmatic advertising, and marketplaces
Experience building enterprise AI products with focus on reliability, governance, privacy, security, and explainability
Familiarity with agent interoperability standards and architectures such as MCP, agent-to-agent communication, structured tool calling, and multi-agent systems
Bachelor’s degree in engineering or equivalent from a well-known institute/university
