Technical Program Manager, AI Enablement, Supply Strategy and Portfolio Planning

Google; Addison (TX); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 days

Job summary

Google in Addison, TX is seeking a Technical Program Manager for AI Enablement. You will lead multi-disciplinary AI projects, plan requirements, identify risks, and manage schedules with cross-functional partners. You will communicate analyses and tradeoffs to executives and engineers alike.

The role sits within Google's AI Enablement team, advancing AI across data center and network planning with scalable tooling and asset delivery tracking. Individual pay is determined by skills and education.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of program management experience.
• 2 years of experience with AI/ML projects, tools or infrastructure.

Responsibilities

• Identify gaps and opportunities for scaling AI solutions and manage cross-functional milestones.
• Lead AI program delivery using leadership, product and technical judgment.
• Coordinate multiple data streams and stakeholders to drive collaboration and consensus.
• Standardize approaches for expansion of AI features to stakeholders.
• Support on projects and provide expertise across data center and AI asset planning.

Skills

Program management

AI/ML projects

Education

Bachelor's degree in a technical field

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Addison, TX, USA; Atlanta, GA, USA; Kirkland, WA, USA; Reston, VA, USA

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• 2 years of experience with artificial intelligence/machine learning projects, tools or infrastructure.

Preferred qualifications

• 5 years of experience managing cross-functional or cross-team projects.
• 5 years of experience with artificial intelligence/machine learning projects, tools, or infrastructure.
• Experience implementing artificial intelligence within complex enterprise domains.
• Experience in data center or network physical infrastructure planning, evaluation and negotiations.
• Experience with AI/Machine Learning projects, tools, or infrastructure with large-scale, complex applications.
• Strong analytical and problem-solving skills. Excellent written and verbal communication skills.

About The Job

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Google's Supply Strategy and Portfolio Planning is at the forefront of building the physical foundation for Google's global cloud and AI infrastructure.

As a Technical Program Manager in AI Enablement, you will be part of the AI team Multiplier playing a pivotal role in ensuring AI and its applications are applied to complex data center and network asset planning processes.

You will lead the development of new tools that enable streamlined planning and robust asset delivery tracking while partnering with cross-functional teams across the Data Center construction life cycle.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Identify gaps and opportunities for scaling and operationalizing AI solutions. Be responsible for scoping, planning, creating, setting milestones and program tracking with cross-functional partners.
• Use leadership, product and technical judgment in AI to drive program delivery.
• Navigate multiple, interdependent work streams, functional and technical AI concepts, and conversations across different stakeholders to drive collaboration and consensus.
• Provide expertise and support on specific projects and standardize the approach for expansion of AI features to stakeholders.
• Manage multiple data sets and sources to optimize AI output.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .