Senior Product Manager, Databases and Analytics

Google•Kirkland, WA

2h•$192,000 - $278,000

About The Position

At Google, Product Managers put users first and adapt to a changing world, working on products that affect millions of people. In this role, you will guide products from conception to launch by connecting technical and business perspectives and breaking complex problems into steps that drive product development. You will collaborate with engineers, designers, marketers, and other partners to analyze, position, package, promote, and tailor solutions to 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 the team, BigQuery Search owns full-text search in the warehouse, including search indexes, text analyzers, the SEARCH function, and indexing infrastructure. Its mission is to make BigQuery a place where data can be searched and analyzed together on one copy, at warehouse scale and target cost of ownership. You will own the BigQuery logs and observability business, including its strategy, roadmap, pricing, and growth goals. You will help address observability and security markets, and define how AI agent telemetry—traces, logs, and events—is captured, searched, and analyzed in BigQuery. You will partner with engineering teams to navigate tradeoffs involving query latency, ingestion, index freshness, and cost per terabyte searched. Google Cloud provides enterprise-grade solutions built on Google's technology and tools for developers, serving customers in more than 200 countries and territories. Individual pay depends on job-related skills, experience, and relevant education or training. The listed US compensation is $192,000–$278,000, plus a 20% bonus target, equity, and benefits.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in product management or a related technical role.
3 years of experience taking technical products from conception to launch.
3 years of experience developing or launching products or technologies within databases, analytics, big data, or a related area.

Nice To Haves

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, such as strategic marketing, business operations, or consulting.
4 years of experience 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.

Responsibilities

Own the BigQuery logs and observability business by setting strategy, roadmap, pricing, and growth goals for enterprise logs, security events, and telemetry.
Address the observability and security markets, making BigQuery a place where logs, security events, and AI agent telemetry can be searched and analyzed together on one copy of the data.
Build the home for AI agent telemetry and define how traces, logs, and events are captured, searched, and analyzed in BigQuery.
Solve complex problems and partner with engineering teams on tradeoffs involving query latency, ingestion, index freshness, and cost per terabyte searched.
Guide products from conception to launch by connecting technical and business considerations and collaborating cross-functionally.