Associate Director, Product Management - AI and Agentic Platform at PubMatic | AdTechTalent
Product1 month agoHybrid
PubMatic
Associate Director, Product Management - AI and Agentic Platform
product managementAIgenerative AIagentic platformLLMadvertising technologyprogrammaticevaluationobservabilitymulti-agent systemsenterprise AI
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Pune, India
Full job description
PubMatic is seeking a Senior Product Manager to lead the Agentic Platform and AI strategy. The role involves defining product vision and roadmap for AI and Agentic Platform capabilities, including agent orchestration, model integration, knowledge management, evaluation frameworks, observability, governance, and reusable infrastructure. The candidate will lead development of AI experiences for publishers and marketplaces, define success metrics, build evaluation methodologies, and manage the full product lifecycle. Requirements include 6-8+ years in product management with 1-2 years leading complex AI agentic platforms, strong understanding of AI architectures (LLMs, retrieval-augmented generation, agent orchestration, evaluation, prompt engineering, observability), experience with advertising technology preferred, strong analytical and communication skills, and a bachelor's degree in engineering or equivalent. The position is full-time with a hybrid work schedule based in Pune, India. Benefits include parental leave, healthcare insurance, 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 rigorous 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 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
Experience with advertising technology, programmatic advertising, and marketplaces (preferred)
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
