Senior Product Manager, Storage and Analytics

Google; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Google in Bengaluru, Karnataka, India, is seeking a Senior Product Manager for Storage and Analytics. You will guide cross-functional teams to drive product conception through launch, enabling scalable analytics infrastructure and low-latency data workflows across the organization.

The role emphasizes end-to-end ownership, with a focus on storage solutions, data processing, and building data-driven insights for millions of users.

Qualifications

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

Responsibilities

• Own and drive the product strategy for Napa (Google's analytics engine).
• Work across AIF, AIS, and GDM to deliver a purpose-built analytics data warehouse.
• Implement an integrated storage architecture leveraging the Unified Data Model (UDM) and vector search.
• Re-envision data warehouse journeys for a scalable, agentic environment.
• Deliver sub-minute data ingestion availability latency (MALS) and precise row-level deletions.

Skills

Product management

Leadership

Cloud storage

Cross-functional collab

Mentoring

Education

Bachelor's degree

Master's degree

Tools

Google Cloud Platform

Job description

Senior Product Manager, Storage and Analytics

Google, Bengaluru, Karnataka, India

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• 2 years of experience in Cloud storage and the overall public cloud ecosystem including customer requirements, market trends, competitive positioning.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 3 years of product management experience in database systems, ETL, data lakes/warehouses, or OLAP.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• Experience in storage as a service and data processing.
• Experience in lifecycle data rollouts at scale, promoting product excellence and collaboration.
• Proven track record of “big picture” strategy/platform/scaled-product thinking, enabling teams to deliver products that are effective, while creating new ways to drive data insights.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Responsibilities

• Own and drive the product strategy (partnering with cross-functional) for Napa (Google's analytics engine).
• Work across AIF, AIS, and GDM to deliver a purpose-built analytics data warehouse to provide scalable access to performance metrics.
• Implement an integrated storage architecture leveraging the Unified Data Model (UDM), embeddings, and vector search to enable low-latency semantic retrieval and "single-click" analytical environment setup.
• Be able to re-envision data warehouse Critical User Journeys (CUJs) for an agentic environment, defining and delivering the specific skills required to execute these journeys within Jetski.
• Deliver sub-minute data ingestion availability latency (MALS) and precision row-level deletions.

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