Product Manager, Agentic Systems
Google· enterprise· Internet & Cloud Services· Oct 14, 2026 · 14d ago
Mountain View, CA, USA
In office
Full-time
Senior
$129K–$184K est.
5+ years exp
Job description
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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• 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.
• Drive GAA from pilot rollout (50–200+ users) through full General Availability (GA), scaling robust multi-agent workflows to thousands of enterprise users worldwide.
• Orchestrate complex integrations across partner AI teams (e.g., ConnectAI, Collateral Assist, Ads Planning) for unified intent routing, deep insight reasoning, and automated deck rendering.
• Design continuous feedback loops and contextual memory systems that leverage real-world usage to fuel a compounding growth flywheel, perpetually sharpening pitch narrative relevance, personalization, and conversion rates.
• Lead continuous evals and quality hill climbing by overseeing state-of-the-art evaluation pipelines—combining Large Langauage Model (LLM) autoraters, human-in-the-loop reviews, and inline citations—to ensure robust factuality, grounding, tone, and low latency.
• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management shipping technical, platform, data, or AI-powered products.
• Experience in Generative AI, LLMs, and agent-based systems.
• Experience in agile software development.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management shipping technical, platform, data, or AI-powered products.
• Experience in Generative AI, LLMs, and agent-based systems.
• Experience in agile software development.
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.
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