Senior Product Manager, Databases and Analytics

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.
• 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 developing or launching products or technologies within databases, analytics, big data, or a related area.

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., strategic marketing, business operations, consulting).
• 4 years of experience in a role preparing and delivering technical presentations to senior 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 BigQuery Core Analytics team builds and evolves the SQL query engine at the heart of BigQuery, Google Cloud's data analytics platform. Within this team, BigQuery Search owns full-text search in the warehouse: search indexes, text analyzers, the SEARCH function, and the indexing infrastructure that lets customers find a needle in petabytes of logs, events, and text in seconds. Text search is the entry point to analytics workloads on Google Cloud. Our mission is to make BigQuery the place where that data is searched and analyzed together, on one copy, at warehouse scale and TCO.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Own the BigQuery logs and observability business by setting the strategy, roadmap, pricing, and growth goals for how enterprises bring logs, security events, and telemetry to the platform.
• Address the observability and security markets to make BigQuery the place where logs, security events, and AI agent telemetry are searched and analyzed together on one copy of the data.
• Build the home for AI agent telemetry to define how a new flood of traces, logs, and events gets captured, searched, and analyzed in BigQuery.
• Solve complex problems and partner with engineering teams on the tradeoffs that define this market, including query latency, ingestion, index freshness, and cost per terabyte searched.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.