Group Product Manager, Data Integration
- linkCopy link
- emailEmail a friend
- 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 (statutory, where applicable); 5 days/event (discretionary)
- 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.
- 10 years of experience in product management or a related technical role.
- 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- 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.
- 7 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 5 years of experience in a role preparing and delivering technical presentations to executive leadership.
- Experience managing or mentoring executive product managers and leading large cross-functional teams.
- Experience in lakehouse architectures, apache spark, enterprise data warehouses, ETL/ELT, and data governance.
- Ability to navigate ambiguity and define 0 to 1 strategies for emerging technologies, specifically Generative AI, data mesh, and autonomous data operations.
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.
In this role, you will not just build a product; you will define the future of the data economy. You will institutionalize a culture of radical customer empathy, ensuring that our multi-year strategy is built on a deep understanding of the customer’s evolving needs in an AI-first world. You will lead the transformation of the market, guiding a team to deliver the best platform that doesn't just integrate data, but fundamentally automates and accelerates the path to intelligence for global enterprises.
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.
Responsibilities
- Own the comprehensive 3-5 year goal for the Data Integration business. Synthesize market trends, AI advancements, and customer insights to make strategic bets that drive long-term growth and market leadership.
- Lead the strategic direction for high-performance data engineering, specifically leading the adoption of Lakehouse architectures and Apache Spark. Define how our platform converges data warehouses and data lakes, ensuring exceptional interoperability and performance for massive-scale processing workloads.
- Lead the strategy for infusing Generative AI and automation across the entire integration stack. Define how our platform leverages AI to disrupt legacy ETL patterns, creating self-healing pipelines and autonomous data engineering capabilities that set new industry standards.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.