Senior Product Manager, Agentic Systems

Google; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google is seeking a Product Manager to guide the Growth Advisor Agent (GAA) from conception to launch, connecting technical and business worlds across Google Ads. You will steer cross-functional teams to break down complex problems into actionable product development steps, leveraging AI and large language models to drive scalable growth for advertisers.

Join a team that builds cutting-edge AI-powered advertising technologies and works with researchers, engineers, and marketers to deliver

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical roles.
• Experience in Generative AI, LLMs, and agent-based systems.

Responsibilities

• Drive GAA from pilot rollout through full General Availability, scaling robust multi-agent workflows to thousands of enterprise users worldwide.
• Architect the 2027+ direction to evolve GAA into an "always-on growth architect"—pioneering multi-agent orchestration, interactive co-creation canvases, granular UX steerability, and proactive AI triggers.
• Orchestrate complex integrations across partner AI teams for unified intent routing, deep insight reasoning, and automated deck rendering.
• Lead continuous evaluations and quality hill climbing by overssing state-of-the-art evaluation pipelines—combining Large Language Model (LLM) autoraters, human-in-the-loop reviews, and inline citations to ensure robust factuality, grounding, tone, and low latency.
• Design continuous feedback loops and contextual memory systems that leverage real-world usage to fuel a compounding growth flywheel, sharpening pitch narrative relevance, personalization, and conversion rates.

Skills

Stakeholder management

Cross-functional collaboration

Generative AI familiarity

Education

Bachelor's degree or equivalent practical experience

8 years of experience in product management or related technical roles

Experience in Generative AI, LLMs, and agent-based systems

Tools

Digital advertising platforms

Campaign optimization

Automated workflow systems

Quality metrics for AI-driven UX

Job description

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical roles, shipping technical, platform, data, or AI-powered products.
• Experience in Generative AI, LLMs, and agent-based systems.
• Experience managing stakeholders.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical roles, shipping technical, platform, data, or AI-powered products.
• Experience in Generative AI, LLMs, and agent-based systems.
• Experience managing stakeholders.

Preferred qualifications:

• Experience with digital advertising platforms, campaign optimization, or automated workflow systems.
• Experience defining quality metrics for new, AI-driven user experiences.
• Experience designing collaborative UX or multi-agent systems, or with advanced system evaluation and optimization.
• Experience communicating and collaborating cross-functionally.

About The Job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Our team builds generative AI products that empower Google's Global Business Organization to scale Google Ads business growth worldwide. We develop autonomous systems that synthesize vast amounts of advertising data and market signals into actionable insights and engaging narratives. Our flagship product, the Growth Advisor Agent (GAA), enables thousands of sellers to identify and capture significant growth opportunities for advertisers by transforming complex data into clear, data-driven stories.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities:

Learn more about benefits at Google .

• Drive GAA from pilot rollout through full General Availability, scaling robust multi-agent workflows to thousands of enterprise users worldwide.
• Architect the 2027+ direction to evolve GAA into an "always-on growth architect"—pioneering multi-agent orchestration, interactive co-creation canvases, granular UX steerability, and proactive AI triggers.
• Orchestrate complex integrations across partner AI teams for unified intent routing, deep insight reasoning, and automated deck rendering.
• Lead continuous evaluations and quality hill climbing by overssing state-of-the-art evaluation pipelines—combining Large Language Model (LLM) autoraters, human-in-the-loop reviews, and inline citations to ensure robust factuality, grounding, tone, and low latency.
• Design continuous feedback loops and contextual memory systems that leverage real-world usage to fuel a compounding growth flywheel, sharpening pitch narrative relevance, personalization, and conversion rates.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .