AI Data & Cloud Storage Product Lead

Google; Seattle (WA); Hybrid; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

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 days

Job summary

Google is seeking a Product Lead for Cloud Storage's AI data strategy to guide the zero-to-one journey of storing, retrieving, and activating unstructured data for autonomous agents. You will drive cross-functional collaboration across engineering, design, and business teams to shape products from ideation to GA.

You will own the roadmap, partner with AI platforms, and influence pricing and adoption for high-scale vector search workloads, with a focus on responsible AI practices and cost

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 3 years taking technical products from conception to launch.
• 3 years of experience in Cloud storage and public cloud ecosystem.

Responsibilities

• Define the product roadmap and requirements for new smart storage and semantic search capabilities.
• Benchmark competitive products and extract actionable insights to shape product strategy.
• Collaborate with cross-functional stakeholders to accelerate adoption and revenue growth.
• Navigate challenges of building retrieval systems for exabytes of data with cost-aware optimization.

Skills

Cross-functional collaboration

Strategic thinking

Data-driven decisions

Cloud storage

AI/GenAI familiarity

Education

Bachelor's degree or equivalent

Master's degree

Tools

LangChain

APIs & SDKs

RAG concepts

Job description

Google is seeking a Product Lead for Cloud Storage's AI data strategy to guide the zero-to-one journey of storing, retrieving, and activating unstructured data for autonomous agents. You will drive cross-functional collaboration across engineering, design, and business teams to shape products from ideation to GA.

You will own the roadmap, partner with AI platforms, and influence pricing and adoption for high-scale vector search workloads, with a focus on responsible AI practices and cost