Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical roles.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc.).
• Experience developing/launching AI infrastructure or AI platform products.

Preferred qualifications:

• Experience working in a cross-functional organization, and influencing executives.
• Understanding of machine learning and automation techniques to improve the efficiency of highly scalable applications to enable the ever growing needs of internal and external partners and customers.
• Excellent product management, business acumen, investigative, and stakeholder management skills, with attention to detail.
• Excellent problem-solving and data analysis skills.

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.

The Customer Engagement (CE) team within Ads provides tools and products to enable Google to intelligently engage customers and help them succeed at scale. Our solutions cover marketing, sales, and support for the Ads business and also customer support for Google's consumer ecosystem with many of those products serving more than 1B monthly users like YouTube, Play, Hardware, Photos, Maps, Search, and Gmail to name a few.

We build and maintain the AI and Data Platforms for CE's product and engineering teams driving all ML driven experiences across our external user facing and internal (e.g., support and seller agent facing) surfaces. We obsess over customer touchpoints, and gather data and context across experiences to fuel the next wave of agentic innovation.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $192,000-$278,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Guide the strategy for our model and agent evaluation platform, ensuring teams can run benchmarks for accuracy, safety, and task completion to ensure high-quality outcomes across customer-facing and internal tools.
• Define the product goal and roadmap for the data and evaluation needs to fuel the next wave of innovation of Generative AI, aligning CE, partner, and user needs.
• Collaborate effectively with engineering teams to translate product goals into technical specifications and solutions. Advise on the product impact of a wide array of technical decisions.
• Understand how technical users and customers derive value from infrastructure, establish domain expertise and clearly communicate the goal and value proposition of the AI Platform to stakeholders across CE and its partner ecosystem.

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Requisition #: 110294878763524806

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