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Minimum qualifications:

+ Bachelor's degree or equivalent practical experience.

+ 5 years of experience in product management or related technical role.

+ 2 years of experience taking technical products from conception to launch.

+ 2 years of experience in product management developing data infrastructure products.

Preferred qualifications:

+ Master's degree in a technology or business related field.

+ 3 years of experience in a role preparing and delivering technical presentations to executive leadership.

+ 2 years of experience in software development or engineering.

+ Experience with storage databases or AI/ML data infrastructure.

+ Experience working with in-house built data infrastructure for globally distributed systems.

+ Experience driving the full product life-cycle; product goal, design discussions, product roadmaps, technical requirements, go-to-market strategy and growth strategy across a wide variety of stakeholders.

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 Storage Ecosystem provides products and solutions that enable best practices when working with storage engines. The organization is heavily invested in canonical storage for LLM training data, in particular frontier post-training for Gemini foundation models. Its strategic pillars are split across several focus areas including: Search, Extensibility, Authorization, and Data Integrity.

This role will focus on developing products for extended storage system capabilities that power AI/ML data and user journeys. More specifically, the products will enable custom computations to be performed by storage and query engines while simplifying the deployment and accessibility of business logic. This is a technically complex space that would greatly benefit from a motivated Product Manager with a passion for artificial intelligence.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $156,000-$229,000 + 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/) .

Responsibilities:

+ Define AI/ML product strategy and goal.

+ Cadence communication and presentations to executive leaders highlighting AI product strategy, technical execution, product challenges, and AI product opportunities for investment.

+ Build trust and rhythm with stakeholders across Google to understand needs, challenges, and priorities while collaborating on joint strategies and future opportunities.

+ Partner with UX researchers on initiatives including studies, user research, technical requirements, and product opportunities.

+ Collaborate with engineering teams to translate strategy and research into priorities, initiatives, and execution plans.

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.