Senior Staff Product Manager, Agentic Lakehouse

Our company: At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do: The Senior Staff Product Manager, Agentic Lakehouse 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. Outbound: Community & Ecosystem Leadership 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. Inbound: Product Strategy & Performance Engineering 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. Cross‑Functional Leadership 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. Who you will work with: Database and platform engineering teams building Iceberg integration and query performance capabilities. Developer relations and advocacy teams driving external community engagement. Product marketing and go‑to‑market teams positioning Teradata’s open lakehouse story. Apache Iceberg open‑source community members, committers, and ASF leadership. Cloud and ecosystem partners (AWS, Azure, GCP, catalog and compute engine vendors). Collaborate with colleagues who share a commitment to leveraging AI responsibly, ensuring our people and customers benefit from the opportunities AI creates. What makes you a qualified candidate 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. What you will bring 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. Why we think you will love Teradata: 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 an anti‑racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs. Pay Rate: 182700.0000 - 228400.0000 - 274,000.00 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job‑related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are also eligible to participate in the Company’s comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time‑off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: #J-18808-Ljbffr Teradata Corporation (SE)