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Job Details
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience developing or launching products or technologies within Artificial Intelligence (AI) or Machine Learning (ML).
- Experience in Integrated development environment (IDE), developer tools, and AI coding assistance.
- Experience driving elements of the product development lifecycle such as product proposal, Go-To-Market (GTM) strategy, driving requirements, supporting execution, product launch and driving adoption.
Preferred qualifications:
- Master's degree in a Technology or Business related field.
- 5 years of experience with defining and delivering software products for developers or enterprise customers.
- 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 2 years of experience working cross-functionally with Engineering, User Experience (UX)/User Interface (UI), Business Finance, and other stakeholders.
- 2 years of experience in software development or engineering.
- Experience leading product management for AI-based products.
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.
Gemini Code Assist in Google Cloud is an always-on collaborator that offers generative Artificial Intelligence (AI) powered assistance to a wide range of Google Cloud users, including developers, data scientists, and operators. It brings together AI-driven developer assistance into an industry-leading solution optimized for developers. To provide an integrated assistance experience, Gemini is embedded in many Google Cloud products. Gemini Code Assist provides the following types of assistance in the context of your work in development, operations, and data analysis.
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 $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.
- Develop an understanding of the problem space to inform a product goal.
- Collaborate with internal and external partners, Go-To-Market (GTM) teams and drive execution of launches.
- Drive prioritization of the highest impact initiatives based on customer needs and market trends.
- Drive execution in close collaboration with several Generative Artificial Intelligence (AI) partner teams, and other cross-functional collaborator teams, with frequent leadership updates on customer outcomes.
- Define product requirements for new extensions, features and releases.