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.

Hundreds of millions of users rely on Google Sheets to track, organize, and analyze their data. In this role, you will own the end-to-end experience for professional analysts, a critical customer for Workspace. You will focus on building deep user empathy for financial analysts and spreadsheet experts who live and breathe complex formulas. Your mission is to leverage Gemini AI to rapidly close feature gaps and prioritize native builds where necessary. Manage a complex, high-visibility roadmap that requires delivering impactful wins at pace with endless opportunities to transform our products and the way people work.

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.

The US base salary range for this full-time position is $163,000-$237,000 + 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

• Work with partner teams (e.g., engineers, Pg Ms, UX) during product design and development to implement the requirements to turn PRDs into OKRs for one or more teams.

• Develop and secure buy-in for a product vision that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.

• Validate the market size and opportunity (e.g., user-based, strategic opportunity, business).

• Own the entire product experience for professional analysts, from initial data structure and complex modeling to final presentation and reporting.

• Leverage AI capabilities to automate complex spreadsheet modeling, visualization creation, advanced formula generation, and comprehensive auditing tasks.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in product management or related technical role.

• 2 years of experience in financial analysis, accounting, or banking.

• Experience developing or launching products or technologies within artificial intelligence or machine learning.

Preferred qualifications

• 3 years of experience in a role preparing and delivering technical presentations to senior leadership.

• Experience defining quality metrics and evals for data visualization or financial modeling tools.

• Experience with high-end financial add-ins or advanced spreadsheet products.

• Professional background in finance or accounting with a deep understanding of analytical precision and reporting requirements.

• Ability to use generative AI to solve legacy feature gaps and create new-to-market analyst experiences.

• Strong organizational skills to manage a complex roadmap spanning native engine upgrades and AI-first interfaces.