Job description

About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel AI, analytics, and enterprise intelligence. Learn more at starburst.ai . About the role The lakehouse-only bet, bring your data into one lake, bring a fast engine to query it there, held up for years. It doesn't anymore. Agents don't sit inside one lake and wait their turn. They reason across the whole estate, firing off queries at production speed, and they generate new questions mid-reasoning based on what they just found. You can't materialize a view for a query that didn't exist five seconds ago. We're seeking a Senior Product Manager to lead Starburst's federation strategy. Your primary focus is finding and delivering the product functionality that wins the next generation of workloads where querying data in place, across every system an agent might need to reach, is the deciding factor over consolidating it first. That means owning how Starburst federates across the ecosystem, staying ahead of what AI agents actually demand from a data platform and watching the competitive field closely enough to make prioritization decisions. You'll work alongside the Managed Icehouse and Compute Engine PMs, plus engineering and go-to-market, to set the federation vision and drive it through execution. As Senior Product Manager, Data Federation at Starburst you will: Identify and make the case for the next set of workloads, human-driven or agent-led, where federating across sources beats consolidating them, especially as agent reasoning outruns what any single lake can hold Define what agents actually need from data infrastructure beyond access: a way to signal partial visibility instead of returning a confident, complete-sounding answer built on whatever it could see Define how Starburst's federation layer interoperates with the catalog implementations customers actually run, Polaris, Glue, Unity Catalog, Snowflake Open Catalog, and others, rather than betting on a single one Some of the things we look for: 6+ years as a Product Manager, with real ownership of a technical infrastructure or data platform product Real exposure to federated query or data virtualization. You understand why "query everything without moving it" solves a core data engineering problem and isn't just a marketing line A clear point of view on why precomputation and materialized views break under agentic workloads, and what a data platform needs to do instead when queries are generated mid-reasoning rather than scheduled Experience managing lakehouse product offerings and their ecosystems A plus, experience with query engines (Trino) that federate across heterogeneous sources, and how table format and catalog design affect performance and reliability Ability to Travel : This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs. Where could this role be based? Remote, US Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $180,000 — $215,000 USD Build your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Requirements

Must-haves

6+ years as a Product Manager, with real ownership of a technical infrastructure or data platform product
Real exposure to federated query or data virtualization. You understand why "query everything without moving it" solves a core data engineering problem and isn't just a marketing line
A clear point of view on why precomputation and materialized views break under agentic workloads, and what a data platform needs to do instead when queries are generated mid-reasoning rather than scheduled
Experience managing lakehouse product offerings and their ecosystems
Where could this role be based?

Nice-to-haves

A plus, experience with query engines (Trino) that federate across heterogeneous sources, and how table format and catalog design affect performance and reliability

Application prep

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Keywords to mirror

aigo

Platform: greenhouse
Effort: quick

Benefits

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Vision

Paid Time Off