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Senior Staff Product Manager — Apache Iceberg & Open Table Formats

United States · Job Posted March 27, 2026
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Job Description

The Senior Staff Product Manager for Apache Iceberg & Open Table Formats will own the strategy, community growth, and technical execution of Teradata’s Iceberg capabilities. This is a dual-charter role spanning outbound community and ecosystem leadership alongside inbound product and performance engineering. You will serve as Teradata’s primary voice in the Apache Iceberg open-source ecosystem while simultaneously driving deep integration of Iceberg into the Teradata platform to deliver world-class lakehouse performance. This PM owns the end-to-end roadmap for Iceberg-related capabilities and leads cross-functional prioritization across engineering, developer relations, and go-to-market teams.

Job Responsibility

  • Serve as Teradata’s primary representative and advocate within the Apache Iceberg open-source community, building trust and credibility with contributors, committers, and the Apache Software Foundation (ASF)
  • Develop and execute a developer community strategy that grows Teradata’s mindshare among data engineers, lakehouse architects, and open-source contributors working with Apache Iceberg
  • Build and nurture relationships with the Apache Software Foundation, including participation in Iceberg PMC discussions, contributing to project governance, and representing Teradata’s interests in community roadmap decisions
  • Drive external thought leadership through conference talks (e.g., ApacheCon, Data + AI Summit, Subsurface), blog posts, technical papers, and social media engagement on Iceberg-related topics
  • Collaborate with partners and ecosystem vendors (e.g., cloud providers, compute engine vendors, catalog providers) to ensure Teradata’s Iceberg implementation is interoperable and well-positioned in the broader lakehouse ecosystem
  • Create and maintain developer-facing content including tutorials, reference architectures, and best-practice guides for using Iceberg with Teradata
  • Own the product roadmap for Iceberg integration within the Teradata platform, covering Iceberg read/write operations, catalog interoperability, metadata management, schema evolution, and partition optimization
  • Partner closely with database engineering teams to identify and drive performance improvements for Iceberg workloads, including query planning, predicate pushdown, data skipping, compaction, and table maintenance operations
  • Define product requirements for Iceberg-native capabilities such as time travel, snapshot isolation, branching and tagging, and hidden partitioning within the Teradata ecosystem
  • Conduct competitive analysis of Iceberg implementations across the industry (e.g., Snowflake, Databricks, Dremio, Cloudera) and translate insights into prioritized product investments
  • Work with engineering to ensure Teradata’s Iceberg support delivers strong ACID guarantees, multi-engine interoperability, and seamless integration with both batch and streaming workloads
  • Define and track performance benchmarks and success metrics for Iceberg-based operations, including query latency, throughput, table maintenance efficiency, and storage optimization
  • Lead collaboration across engineering, developer relations, product marketing, and field teams to align Iceberg strategy with Teradata’s broader lakehouse and open-data platform vision
  • Drive prioritization and sequencing of work to balance community credibility, technical feasibility, competitive positioning, and speed of delivery
  • Operate effectively within a matrixed organization, influencing outcomes through clarity, data, and alignment
  • Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce

Requirements

  • 12+ years of product management experience in data infrastructure, databases, data platforms, or analytics, with a track record of shipping platform-level capabilities
  • Deep familiarity with Apache Iceberg or comparable open table formats (Apache Hudi, Delta Lake), including understanding of metadata design, catalog architecture, and query optimization
  • Demonstrated experience in open-source community engagement—contributing to or leading initiatives within Apache Software Foundation projects or similar open-source ecosystems
  • Strong technical fluency in lakehouse architecture, including concepts like ACID transactions on object storage, schema evolution, partition evolution, snapshot isolation, and compute-storage separation
  • Proven ability to lead cross-functional teams across engineering, developer relations, and go-to-market functions
  • Hands-on experience developing agentic AI systems and successfully bringing agent-driven solutions from concept to market
  • Foundational AI skills and the ability to understand how AI can be applied to improve outcomes in your area of expertise

Nice to have

  • Experience building and growing developer communities around data infrastructure or open-source technologies
  • Background in database performance engineering, query optimization, or storage engine internals
  • Familiarity with Iceberg ecosystem tooling including catalogs (e.g., Nessie, Hive Metastore, Unity Catalog, Polaris), compute engines (e.g., Spark, Trino, Flink), and table maintenance services
  • Track record of public thought leadership—conference speaking, technical blogging, or published contributions to data engineering discourse
  • Experience working with enterprise customers on lakehouse adoption, migration strategies, or open data architecture
  • Understanding of competitive landscape across Snowflake, Databricks, Dremio, Cloudera, and cloud-native analytics services
  • A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things

What we offer

  • We prioritize a people-first culture
  • We embrace a flexible work model
  • We focus on well-being
  • We are an anti-racist company
  • We foster an equitable environment that celebrates people for all of who they are
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