Senior Product Manager, Cloud Databases

Google; United States; On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days per year

Sick time 40 hours/year (69 in Seattle

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 paid days per year

Job summary

Google Cloud Databases Senior Product Manager in Sunnyvale, CA and Kirkland, WA leads end-to-end product initiatives, guiding cross‑functional teams of engineers, UX, and marketing to turn ideas into market-ready solutions.

You will own PRDs, define roadmaps, and measure success, influencing stakeholders across functions while shaping products built on Spanner, AlloyDB, and Cloud SQL to power AI-driven data platforms.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 3 years taking technical products from conception to launch.

Responsibilities

• Lead product design by collaborating with engineers, PMs, UX to turn PRDs into OKRs.
• Own and define project roadmaps.
• Drive product goals and narrative, ensuring business outcomes.
• Validate market size and opportunity (user-based, opportunity, business).
• Define and track product or business metrics, both quantitative and qualitative.

Skills

8 years product management

End-to-end product delivery

Stakeholder influence

Education

Bachelor's degree or equivalent practical experience

Master's degree (preferred)

Tools

Spanner

AlloyDB

Cloud SQL

Job description

Google Cloud Databases Senior Product Manager in Sunnyvale, CA and Kirkland, WA leads end-to-end product initiatives, guiding cross‑functional teams of engineers, UX, and marketing to turn ideas into market-ready solutions.

You will own PRDs, define roadmaps, and measure success, influencing stakeholders across functions while shaping products built on Spanner, AlloyDB, and Cloud SQL to power AI-driven data platforms.