Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 10 years of experience in product management or related technical role. + 5 years of experience taking technical products from conception to launch. + Experience shipping data platform and data infrastructure products. Preferred qualifications: + Master's degree in a technology or business related field. + Experience with Data Manipulation Language (DML) operations, storage APIs, and their performance implications in investigative, transactional systems, and Hybrid Transactional/Analytical Processing (HTAP) use cases and architecture. + Experience with Data Manipulation Language (DML) operations, storage APIs, and their performance implications in analytical and transactional systems. + Knowledge of Change Data Capture (CDC) mechanisms, table versioning/history, and evolving data type management in large-scale data platforms. + Understanding of modern data lakehouse architectures, including technologies like Apache Iceberg, Delta Lake, or Hudi. 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 mission of BigQuery lakehouse storage team is to enable customers to harness the power of their entire data landscape structured, unstructured, and across all formats like Apache Iceberg and Parquet. In this role, you will provide seamless connections to analytics, streaming, and AI, coupled with built-in intelligence and robust governance, all within a fully managed service, allowing them to unlock critical insights using SQL, Spark, Streaming, and other leading engines. 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 $227,000-$320,000 + 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 (https://careers.google.com/benefits/) . + Define and advocate the product goals, strategy, and roadmap for BigQuery Lakehouse features related to DML, Storage API, HTAP, CDC, table history, and data types. + Conduct market research, customer analysis, and assessments to identify new product opportunities and unmet user needs. + Collaborate closely with engineering, UX, and other product teams to define detailed product requirements, prioritize features, and ensure successful execution. + Drive product launches, working with product marketing, sales, and partner teams to ensure go-to-market and customer adoption. + Engage with key customers and the broader community to gather feedback, understand evolving use cases, and advocate BigQuery's capabilities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.