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Director, Product Management, Workspace Intelligence
GoogleSingaporeSenior15+ years
Apply Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 15 years of experience in product management.
- 5 years of experience with AI/ML applications, cloud-native architectures, or big data platforms and their business applications.
- 5 years of experience managing a product management team.
Preferred qualifications:
- MBA or Master’s degree in Computer Science or a related field.
- Ability to balance technical and business issues.
- Excellent communication skills, with the ability to communicate with both technical and business experts.
- Effective leadership capabilities, and ability to motivate a team.
- Expertise leading teams towards business goals.
About the job
Google Workspace from Google Cloud is a smart, simple and secure family of productivity apps – Gmail, Docs, Drive, Calendar, Sheets, Meet, Chat and more. They are designed to simplify work and increase the productivity of teams, with real-time collaboration built in from the start. With Google Workspace, information can flow freely between devices, apps, people and teams, so great ideas never get left in the margins again. Google Workspace now has over 4 billion users globally.
As the Director of Product for Workspace Intelligence, you will drive product strategy and inspire a talented, collaborative team to accelerate search, evals and datasets capabilities across Workspace. You will build a global product team, work closely with engineering, design, and marketing leads to define the strategy, build cross-Workspace AI Search, context, evals and datasets infrastructure, reimagine Search and evals and datasets tools, and cultivate a highly collaborative and effective global team. In this role, you will primarily interact with: teams that make the apps that make up Google Workspace - Gmail, Docs, Sheets, Slides, Drive, Meet, etc., and DeepMind to collaborate on qualifying new models, improving models for Google Workspace use cases, and shipping the most capable and fastest model for each task. You will work with customers, product managers, User Experience Researchers (UXR), solutions architects, and GTM colleagues to understand customers' use cases, and translate them into technical designs and implementations.
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: $281000 - $391000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define the product vision and strategy for cross-Workspace AI-first search, context, evals, and datasets experiences. Design and lead a multi-year roadmap that balances short and long-term goals.
- Analyze competitors and industry trends to drive innovation, and deliver forward-thinking approaches to long-term opportunities, such as modernizing the core search stack.
- Develop a comprehensive understanding of the company's product strategy and ensure the GenAI platform aligns with and enables that strategy.
- Own the cross-functional product development process from ideation through to launch. Engage regularly with app leaders as a trusted advisor to understand their strategies and priorities to inform the product roadmap.
- Drive the team's rhythm of business by managing leadership review forums and tracking key company-level deliverables. Advocate for a culture of experimentation and data-driven decision-making to rapidly bring state-of-the-art GenAI experiences to market.
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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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