Group Product Manager, Cloud Business Intelligence
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- 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.
- 10 years of experience in product management or a related technical role.
- 5 years of experience developing or launching products or technologies within databases, analytics, big data, or a related area.
- 5 years of experience in building products in the domain of Business Intelligence, data analytics, or a related data-driven fields.
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.
- 7 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 5 years of experience in a role preparing and delivering technical presentations to executive leadership.
- Extensive experience in product management with a focus on artificial intelligence, machine learning, or autonomous systems.
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.
Our mission is to pioneer the future of enterprise data intelligence by evolving complex business applications into intuitive, AI-native experiences that benefit customers at scale. Our solutions equip both humans and agents with the trusted data and proactive insights needed to drive meaningful action. As a critical pillar of the Data Cloud full-stack solution, we deliver a high-performance, beautiful interface to data and modeling, alongside the foundational business intelligence primitives that support the modern agentic enterprise.
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: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the long-term product goal and strategy for emerging agentic experiences across the Cloud BI portfolio, ensuring it drives significant value for both customers and the business.
- Make high-stakes decisions regarding product direction, resource allocation, and feature prioritization to achieve organizational goals.
- Partner with executive leaders across engineering, design, and other departments to align multiple teams around a shared goals for AI-powered data solutions.
- Drive the adoption of AI-native development processes, ensuring that our products are built using the latest technology and best practices for intelligent systems.
- Identify and advocate for new areas of investment, utilizing your expertise in the data and AI landscape to keep our products at the forefront of the industry.
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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.
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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.