Associate Product Management Director - AI & Agentic Platform

PubMatic; India; Hybrid; INR 2,800,000 - 5,200,000; Full time

Benefits offered by this job

Paternity/maternity leave

Healthcare insurance

Broadband reimbursement

Kitchen with snacks and drinks

Catered lunches

More benefits

Job summary

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 seeking 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,

Qualifications

• Bachelor's degree in engineering or equivalent.
• 5+ years in product management with AI focus.
• Experience delivering production-grade AI agents.

Responsibilities

• Define vision, strategy, and roadmap for AI and Agentic Platform.
• Own platform capabilities: orchestration, integration, knowledge management.
• Develop publisher- and marketplace-facing AI experiences.
• Define success metrics across AI quality, adoption, latency, and cost.
• Build evaluation methodologies with offline data and telemetry.
• Manage full product lifecycle from ideation to iteration.

Skills

Product management

AI strategy

Agent orchestration

LLMs

Knowledge systems

Observability

Experimentation

Metrics

Cross-functional leadership

Advertising tech

Education

Bachelor's degree in Engineering

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: LLMs and reasoning models Retrieval-Augmented Generation and knowledge systems Agent orchestration and tool use AI evaluation and experimentation Prompt and context engineeringObservability 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 bachelors 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

• paternity/maternity leave
• healthcare insurance
• broadband reimbursement
• kitchen loaded with healthy snacks and drinks
• catered lunches
• much more!

Diversity and Inclusion

PubMatic is proud to be an equal opportunity employer; we dont 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 worlds 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. .