Senior Product Manager, Sense AI
Listed on 2026-06-28
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IT/Tech
AI Engineer (Applied/Software), Product Designer
Senior Product Manager, Sense AI
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year
Minimum qualifications:
Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 5 years of experience building out developer tools. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.). 3 years of experience building Generative AI technologies for data platforms.
Preferred qualifications:
Master's degree in a technology or business related field. 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders. 5 years of experience in a business function or role (e.g., marketing, business operations, consulting). 4 years of experience in a role preparing and delivering technical presentations to executive leadership. 3 years of experience in software development or engineering.
3 years of people management experience with direct reports, and in technical leadership.
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 Databases AI team is at the forefront of embedding AI directly into our database ecosystem to create the world's most intelligent, autonomous Agent Data Cloud. As a Product Manager, you will lead the Data Agent Developer Platform. You will drive the strategy and execution for developers building AI agents that leverage enterprise data. Google Cloud accelerates every organization's ability to digitally transform its business and industry.
We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Define the roadmap for Data Agent Developer Platform, focusing on improving developer experience for building custom agentic tools. Lead the product development lifecycle from discovery to general availability. Write Product Requirements Documents (PRDs), prioritize backlogs, and work closely with Engineering to ship high-scale, reliable streaming features. Partner with customers to understand their pain points. Collaborate with teams across Google Cloud (e.g., Big Query, Cloud SQL, AlloyDB, Spanner, Dataflow) to ensure that capabilities meet the need of broader Data Cloud.
Identify emerging trends in agentic AI and how developer platforms power the next generation of Large Language Models (LLMs).
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