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Staff Product Manager — Teradata Operational & Real Time Engine

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Teradata

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Location:
India , Bengaluru ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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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

Additional Information:

Job Posted:
March 27, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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