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Product Manager, Advertiser Platform Partnerships

Google · google.com
KirklandLead / Manager5+ yrs
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Group Product Manager, Managed Service for Apache Spark
Google · Kirkland · found 5 d ago

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The job in short

Product management for advertiser platform and media buying.

Machine learningGenerative AILLMAgenticMarketingUXProduct management

Details

Found
5 d ago · posted 2026-10-23
Location as listed
Kirkland, WA, USA
Role
Product Manager
Pay (as listed)
$163,000–$236,000 a year
Source
The company’s own careers site

Full 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. As a Product Manager within the Advertiser Platform team, you will lead the core product strategy that redefines how high-growth advertisers and agencies express their business goals, orchestrate budgets, and execute media buying. You will own the vision to build an agentic, outcome-based, cross-channel budget decisioning and media buying future. This foundational platform will ensure Google can secure long-term growth in an increasingly AI and cloud-driven Adtech ecosystem. Historically, advertisers have been forced to translate complex business objectives into fragmented technical settings (bidding strategies, opaque conversion values, and channel-specific configurations). In this role, you will lead a paradigm shift: building a holistic, business-centric goals framework that transitions Google Ads from siloed technical configurations into a natural language, intent-driven, cross-channel orchestration engine. 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. Responsibilities • Advocate for advertiser needs across advertiser platform and quality teams for key verticals, ensuring that we deliver value to advertisers with a comprehensive product suite. • Develop a product roadmap and strategy to creatively meet advertiser needs and capture incremental value. • Interface directly with customers and sales teams to gather feedback, solve customer issues, and ensure alignment between the product roadmap and their needs. • Act as a lead for cross-functional teams across various roles and functions, including Engineering, UX, and Sales. • Validate the market size and opportunity (e.g., user-based, strategic opportunity, revenue). Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 5 years of experience in product management or related technical role. • Experience with the digital advertising ecosystem. • Experience using data, A/B testing, and experimentation to drive product decisions. • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: • Master's degree in a technology or business related field. • 3 years of experience in a role preparing and delivering technical presentations to senior leadership. • 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

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