Senior Energy Product Manager — AI-Driven Grid & Field Demos

Google; Cambridge (MA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

Retirement 401(k) with company match

Paid time off 20 days per year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google seeks an Energy Product Manager to bridge science and engineering, guiding projects from conception to 1MW field demonstration. You will develop techno-economic models, define test plans, and partner across engineering teams to turn ideas into pilots.

You will work with Google Research AI teams to integrate AI-for-science toolkits, de-risk initiatives, and manage budgets and partnerships for prototypes and field operations. US-based roles with multiple locations.

Qualifications

• 8+ years in product management or related technical role
• 3+ years taking technical products from concept to launch (0 to 1)
• Experience developing and leading energy projects
• Bachelor's degree or equivalent practical experience; advanced degree preferred

Responsibilities

• Define the overarching goal, execution roadmap, and stage gates with clear executive alignment
• Guide projects from experiments to full demonstration prototypes, addressing technical and regulatory hurdles
• De-risk initiatives with market scoping, competitive analysis, and technoeconomic studies
• Own budgets and allocate resources, enabling partnerships for prototype development and field ops
• Partner with Google Research AI teams to integrate AI-for-science toolkits and accelerate cycles

Skills

Energy product leadership

8 years product management

3 years end-to-end PM

Experience in energy projects

Data / AI tools usage

Education

Bachelor's degree or equivalent practical experience

Master's / MBA / PhD (preferred)

Job description

Google seeks an Energy Product Manager to bridge science and engineering, guiding projects from conception to 1MW field demonstration. You will develop techno-economic models, define test plans, and partner across engineering teams to turn ideas into pilots.

You will work with Google Research AI teams to integrate AI-for-science toolkits, de-risk initiatives, and manage budgets and partnerships for prototypes and field operations. US-based roles with multiple locations.