Manvinder Singh — Product Manager

Manvinder is currently Director of Product Management at Google within the AI Compute area. He is a seasoned product leader in the AI Infrastructure space with experience spanning Compute (xPUs), Inference frameworks, LLMs, Vector Databases, and various Agentic building-blocks. Before his current role, Manvinder was the VP of AI & Search Products at Redis, where he was responsible for the portfolio of AI offerings, including vector search, semantic caching, and agent memory. His career includes over a decade at Google in various AI and Cloud Infrastructure leadership roles. This includes serving as the Director of Product Management for AI Ecosystem, where he orchestrated product efforts to build with the global ecosystem across Google’s AI portfolio, including the Gemma family of models. With a unique blend of skills and perspectives that span across Product Management, GTM, operations, and BD, he can bridge business and technical challenges and opportunities, and design and execute strategies. He is also a former McKinsey Associate Partner, with an MBA from Kellogg School of Management and a B.Tech. from IIT Delhi.

Stackforce AI infers this person is a leader in AI and Cloud Computing sectors with extensive product management experience.

Location: San Francisco, California, United States

Experience: 17 yrs 9 mos

Skills

Generative Ai
Developer Platforms

Career Highlights

Director of Product Management at Google in AI Compute.
Led AI & Search Products at Redis, enhancing AI offerings.
Former McKinsey Associate Partner with strong strategic background.

Work Experience

Google

Director of Product Management (1 mo)

Director of Product Management, AI Developer Platforms & Ecosystem (1 yr 6 mos)

Senior Director, AI and Emerging Tech Ecosystems , Google Cloud (1 yr)

Director, Technology Partnerships & Marketplace, Google Cloud (6 yrs)

Head of Product Strategy & Operations, Google Apps / GSuite (now Google Workspace) (2 yrs 6 mos)

Redis

Vice President of Product Management, AI and Search (1 yr 8 mos)

Marine Science Institute

Member, Board of Directors (2 yrs 6 mos)

Cloud Software Association

Board Member (2 yrs)

McKinsey & Company

Associate Partner (7 mos)

Engagement Manager (1 yr 11 mos)

Associate (1 yr)

SAP

Portfolio Strategy- Office of the CEO (2 mos)

Mckinsey & Company

Business Analyst (2 yrs)

GE Global Reseach

Summer Intern (2 mos)

Education

MBA at Northwestern University - Kellogg School of Management

Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Delhi

International Management at The London School of Economics and Political Science (LSE)

at Delhi Public School - R. K. Puram

Manvinder Singh

Product Manager

San Francisco, California, United States17 yrs 9 mos experience

AI Enabled

Key Highlights

Director of Product Management at Google in AI Compute.
Led AI & Search Products at Redis, enhancing AI offerings.
Former McKinsey Associate Partner with strong strategic background.

Stackforce AI infers this person is a leader in AI and Cloud Computing sectors with extensive product management experience.

Contact

Skills

Core Skills

Generative AiDeveloper Platforms

Other Skills

Open-Source SoftwareGoogle ProductsSDK developmentNew Product RolloutNew Business OpportunitiesMechanical EngineeringCloud InfrastructureHardware InstallationDistribution Management (Marketing)Product LaunchMonetizationEngagement MarketingAcceleratorDomain ManagementSDKs

About

Experience

17 yrs 9 mos

Total Experience

3 yrs 2 mos

Average Tenure

2 yrs 6 mos

Current Experience

Google

5 roles

Director of Product Management

Promoted

Mar 2026 – Present · 1 mo · San Francisco Bay Area

Director of Product Management, AI Developer Platforms & Ecosystem

Jan 2023 – Jul 2024 · 1 yr 6 mos

Focused on LLMs, AI Frameworks and other developer products. Drove industry-wide technical collaborations on Generative AI. Lead SME for Google's AI Essentials Course on Coursera.

Open-Source SoftwareGenerative AIDeveloper platforms

Senior Director, AI and Emerging Tech Ecosystems , Google Cloud

Jan 2022 – Jan 2023 · 1 yr

Led cross-functional effort to build-out Gen AI ecosystem for Google Cloud across foundation model companies, Apps, tech partners etc and conceptualized/launched an AI Accelerator (“Springboard”) to attract hi-potential AI Startups.

Director, Technology Partnerships & Marketplace, Google Cloud

Promoted

Jan 2016 – Jan 2022 · 6 yrs

Built and led teams within Google Cloud's Ecosystem organization to create IaaS/PaaS services through partnerships with 3P enterprise companies. They influenced the product roadmap for platform products and the marketplace. Key achievements include building an ecosystem of Paas offerings (Databricks, MongoDB, Neo4j etc.) and IaaS services (NetApp, Citrix, IBM, etc.) on GCP, devising a differentiated strategy for open-source for Google, growing the Google Cloud Marketplace, establishing GCP as the preferred cloud for cybersecurity leaders, and building a pipeline of partners for downstream acquisitions by Google.

Head of Product Strategy & Operations, Google Apps / GSuite (now Google Workspace)

Dec 2013 – Jun 2016 · 2 yrs 6 mos

Spearheaded strategic projects for the Workspace (GSuite) business, focusing on GTM and the introduction of new offerings. This included new product introduction opportunities, implementing new investment models across sales, marketing, and operations in top global markets, leading a cross-functional initiative to boost online sales growth in emerging markets using price and marketing tactics and developing a strategies for new B2B business ventures in adjacent areas.

Redis

Vice President of Product Management, AI and Search

Jul 2024 – Mar 2026 · 1 yr 8 mos · San Francisco Bay Area

Responsible for AI & Search Products at Redis. Redis-the real-time data platform, provides a suite of products for AI/ML use-cases including Vector Search, RAG, Inference Caching, Semantic Routing and Agent Memory. Redis is also the most popular feature store used by AI/ML teams worldwide.