Director, Product Management, Workspace Search and Grounding

Director, Product Management, Workspace Search and Grounding

To accelerate the development of context-aware, grounded, and highly personalized AI experiences, we brought together a new, combined Search, Context, and Grounding organization that reports into AI Foundations. This consolidation ensures unified prioritization, resource management, and deeper alignment with our engineering partners.

The Context Service, originally initiated as a "strike team" effort, has matured into a foundational extension of the Search Grounding organization. With that in mind, we are creating a new Workspace Universal Context Service Product Management team to streamline and consolidate all the work related to context, grounding, and user intent understanding to deliver highly personalized and connected AI journeys across our products.

As the Director of Product Management for Workspace Search, you will drive product strategy and inspire a talented, collaborative team to accelerate AI capabilities and experiences 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, and grounding experiences, reimagine Search with AI, and cultivate a highly collaborative and effective global team. You will work with customers, Product Managers, 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.

The US base salary range for this full-time position is $272,000-$383,000 + 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.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 15 years of experience in Product Management.
• 5 years of experience managing a Product Management team.
• 5 years of experience with AI/ML applications, cloud-native architectures, or big data platforms and their business applications.

Preferred Qualifications:

• Master's degree in Engineering, Business (e.g., MBA), or a related field.
• Experience leading teams towards business goals.
• Ability to balance technical and business issues.
• Effective leadership skills, and ability to motivate a team.
• Excellent communication skills, with the ability to communicate with both technical and business experts.

Responsibilities:

• Define the product vision and strategy for cross-Workspace AI-first search experiences, and design and lead a multi-year roadmap that balances short- and long-term goals to scale globally.
• 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 and drive the team's rhythm of business by managing leadership review forums and tracking key company-level deliverables.
• Partner closely with Engineering, UX, and other teams to drive product success, and foster timely decision-making across a broad network of stakeholders. Encourage a culture of experimentation and data-driven decision-making.