Senior AI/ML Infra Product Manager

Google LLC; Seattle (WA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health, dental, vision, life, and disb

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (Seattle 69)

Maternity Leave: 28–30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days per year

Job summary

Google is hiring a Product Manager to drive accelerated compute infrastructure for ML/AI workloads on Google Cloud. You will align technical and business priorities, shaping roadmaps and coordinating with engineers, UX, marketing and sales to deliver scalable GPU-based solutions.

The role emphasizes end-to-end product delivery, cross-functional collaboration, and a focus on cutting-edge AI infrastructure across GCP, GCE and related services with strong growth potential.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 3 years developing or launching infrastructure products or technologies in networking, storage, compute hardware, databases, data analytics, cluster management, or software infrastructure.
• 3 years taking technical products from conception to launch.
• Experience with ML training and inferencing business.
• Experience within Cloud Infrastructure, particularly compute, networking and storage.

Responsibilities

• Define, build, launch and land GPU infrastructure for training and serving AI/ML to drive Google Cloud growth.
• Understand customer journeys and shape product roadmap with cross-functional teams.
• Collaborate with engineering, UX/UI, sales and marketing to deliver end-to-end products.
• Drive product strategy and priorities with cross-functional teams to deliver new cloud services.

Skills

Product management experience

Education

Bachelor's degree or equivalent practical experience

Master's degree (preferred)

Job description

Google is hiring a Product Manager to drive accelerated compute infrastructure for ML/AI workloads on Google Cloud. You will align technical and business priorities, shaping roadmaps and coordinating with engineers, UX, marketing and sales to deliver scalable GPU-based solutions.

The role emphasizes end-to-end product delivery, cross-functional collaboration, and a focus on cutting-edge AI infrastructure across GCP, GCE and related services with strong growth potential.