Director, Product Management, Enterprise AI Capabilities

About the role

The Director, Product Management will lead a team of ~15 Product Managers across the Enterprise AI Capabilities ("EAIC") in multiple time zones, including the United States, Europe, and India. Corporate Engineering ("CorpEng") is the team that builds and maintains the infrastructure that powers Google. They are responsible for designing, building, securing, and operating the systems that keep Google running smoothly. The EAIC team is CorpEng’s force multiplier for AI Initiatives.

Responsibilities

• Drive the full product life cycle (strategy to execution) and accelerate the responsible adoption and application of AI technologies across CorpEng by providing strategy, enablement, and reusable capabilities to empower delivery of AI-driven products.
• Unify and transform the AI Strategy in line with business goals and partner with CorpEng, Core, and Google Cloud Product ("GCP") leaders, enabling the AI Transformation of Corp Eng.
• Drive 1st principles thinking to transform how Google operates, now and in the future with AI; influence teams to use AI as "bolt-ons" for isolated tasks and instead focus on deploying agentic AI that drives comprehensive outcomes; strive for enterprise processes that are fundamentally redesigned from the ground up to accrue the full benefits of AI, rather than just swapping out legacy tools;
• Develop overall strategy and vision for the enterprise, partnering closely with CorpEng and other key stakeholders and partners;
• Monitor product performance, adoption, and satisfaction in the product suite.

Requirements

• Bachelor's degree degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
• 15 years of professional experience as a product leader driving elements of the product development life cycle such as product vision, go-to-market strategy, driving requirements, and product launch.
• Experience with AI/ML and related technologies particularly applying them to enterprise applications.

Qualifications

• Experience motivating others at all levels by creating a shared sense of vision and purpose.
• Ability to collaborate across orgs and product areas to get things done and comfort with organizational complexity.
• Proven track record of delivering successfully within timelines and ability to balance detailed, technical guidance with “big picture” strategy, enabling teams to deliver products that are effective and also creating new ways to approach problems.
• Strong at narrative and storytelling and excellent at “influence without authority.”
• A track record of delivering complex projects with a bias to action and solid outcomes.

Skills

• Experience with AI/ML and related technologies particularly applying them to enterprise applications.
• Experience motivating others at all levels by creating a shared sense of vision and purpose.
• Ability to collaborate across orgs and product areas to get things done and comfort with organizational complexity.
• Proven track record of delivering successfully within timelines and ability to balance detailed, technical guidance with “big picture” strategy, enabling teams to deliver products that are effective and also creating new ways to approach problems.
• Strong at narrative and storytelling and excellent at “influence without authority.”
• A track record of delivering complex projects with a bias to action and solid outcomes.

Benefits

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US: $281000 - $392000 (USD) + 30% bonus target + equity + benefits