Senior Product Manager — Computer Data and Analytics Platform
Senior Product Manager in Bangalore owning the data and analytics platform behind DevRev's AI teammate 'Computer' — defining how data is captured, modeled, governed, queried, and activated to power embedded analytics and trusted AI-agent experiences. Focus areas: modern data architectures, DuckDB, governance, and AI-native querying.
- Compensation
- Not disclosed
- Location
- Bangalore, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Product
- Posted
Skills
Must have
- 8+ years of product management or complementary experience building data platforms, developer platforms, analytics products, AI products, or infrastructure products
- Experience defining products spanning data ingestion, data modeling, data quality, governance, querying, and downstream activation
- Strong understanding of modern data architectures, including source systems, event streams, change data capture, lakehouse-style storage, query engines, and serving layers
- Familiarity with embedded and in-process analytics, such as DuckDB, and trade-offs between local, operational, and centralized query patterns
- Practical understanding of AI-native data experiences, including grounded retrieval, natural-language querying, Text-to-SQL, evaluation, permissions, and safe action execution
- Ability to design products that serve both technical and non-technical users without compromising trust, usability, or extensibility
- A record of partnering deeply with engineering, design, AI/ML, security, and go-to-market teams to ship reliable, scalable platform products
- Strong product judgment in ambiguous, technical environments, turning architectural direction into clear customer value, milestones, and adoption measures
Full description
About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
About the role
DevRev is hiring a Senior Product Manager for the Computer Data and Analytics Platform – a hands-on product leader who will own the trusted data foundation that makes Computer precise, useful, and safe across every experience.
Computer should not merely report on work. It should understand customer, product, and operational context; reason across it; and help people and agents take the right action. The Computer Data and Analytics Platform makes that possible through a unified, governed, low-latency data layer that turns data from DevRev and connected systems into durable context for humans, applications, analytics experiences, and AI agents.
You will define how data is captured, modeled, governed, queried, and activated across DevRev. The platform will support operational reporting and embedded analytics, while also enabling grounded, context-rich agentic conversations in Computer – helping users ask questions, investigate work, receive trusted answers, and take safe actions in the flow of work.
This is a unique opportunity to build the foundation for an AI-native operating system – where customer context, product telemetry, structured records, events, and machine reasoning converge.
What you'll do
- Lead the Computer Data and Analytics Platform vision and roadmap - Define and scale the platform that transforms operational and product data into reliable, reusable context for analytics, dashboards, applications, APIs, workflows, and Computer. Set a clear strategy for data modeling, query experiences, data freshness, governance, and activation.
- Build trusted, AI agent-ready data foundations - Own the product direction for a platform that preserves source-of-record fidelity while making data easy to discover, understand, and use. Shape the abstractions that let Computer and people work with data confidently – including lineage, permissions, access controls, quality signals, and semantic definitions.
- Define the data lifecycle from capture to activation - Guide the end-to-end path from source systems and event capture through change data capture, durable query representations, and governed serving layers. Ensure the platform supports real-time and historical workloads without forcing every experience to depend on a single data store or query engine.