Staff Product Manager — Teradata Operational & Real Time Engine Job at Teradata (Bengaluru)

Job Description

The Staff Product Manager for the Operational & Real-Time Engine owns the end-to-end product and business outcomes for Teradata’s real-time serving capability. This is a zero-to-one role. You will define the product, find the market, ship the first release, and build the business.

Job Responsibility

Own the product strategy for Teradata’s operational engine, including market positioning, customer segmentation, competitive differentiation, and strategic choices
Define the architecture: how the real-time engine integrates with VantageCloud — the serving layer, caching tier, CDC pipelines, shared governance, and unified metadata
Develop a clear point of view on where the OLTP + analytics boundary is heading and how Teradata wins in a world where AI agents need sub-10ms data access and applications demand operational reads on analytical data
Discover and synthesize unmet customer needs across Teradata’s Fortune 500 customer base — particularly around real-time serving, GenAI retrieval, feature stores, and application development on analytics data
Translate those needs into clear product requirements and specifications
Validate with customers early and often. Run pilots. Kill bad ideas fast
Develop and own the product roadmap. Execute in close collaboration with Engineering, working across Teradata’s core platform team and the real-time engine team
Engage with senior engineers on deep technical topics — low-latency query paths, connection pooling, vector search integration, MCP support, caching architecture, CDC and change propagation — and guide junior engineers on product context
Ship with appropriate enterprise safeguards: role-based access, audit logging, encryption, and compliance controls that Teradata customers expect
Develop GTM strategy in close collaboration with Sales and Marketing
Build the narrative: why Teradata is entering the operational serving market, why now, and why it matters for customers whose analytics workloads need to become real-time applications
Enable field teams to sell the operational engine to existing accounts and open new doors with application development, data engineering, and AI/ML teams that Teradata has historically not reached
Define and track success metrics: adoption, pilot conversion, developer engagement, workload expansion, revenue contribution
Use data and customer feedback to refine the product and remove friction
Identify expansion opportunities — GenAI serving, agent state management, real-time feature stores, vector retrieval — and sequence them into the roadmap

Requirements

8+ years of product management experience, with demonstrated track record of shipping complex technical products and building successful businesses
Strong understanding of the OLTP and real-time serving market. Experience with low-latency database architectures, operational data stores, or real-time analytics systems
Deep technical ability — you can read an architecture diagram, review a query plan, reason about caching layers, and hold your own with database engineers
Demonstrated drive to ship in close collaboration across engineering, design, sales, and marketing
Experience with zero-to-one or early-stage product development within a larger company
Excellent communication skills — you can present to a CTO and write a PRD with equal clarity

Nice to have

Experience with real-time data serving systems — operational databases, feature stores, caching tiers, or low-latency query engines
Familiarity with GenAI application architectures — RAG pipelines, agent frameworks (LangChain, LlamaIndex), MCP, vector search, embedding retrieval
Understanding of CDC, streaming, data integration, or data platform architectures
Background in enterprise or developer-facing platforms
Experience with competitive dynamics in the database and analytics market (Snowflake, Databricks, AWS, Google Cloud)

What we offer

We prioritize a people-first culture because we know our people are at the very heart of our success
We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work
We focus on well-being because we care about our people and their ability to thrive both personally and professionally
We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are

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Staff Product Manager — Teradata Operational & Real Time Engine

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