At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. We have a technical founding team who created Flyte while at Lyft, a deep bench of infrastructure experts from top companies, and have raised from top investors like NEA and Nava Ventures. The Role: Product Manager, Platform Distribution We are seeking a technical and customer-focused Product Manager to own the Platform Distribution experience. In this critical role, you will define the strategy and roadmap for how our core product is packaged, deployed, and delivered across cloud and on-premise environments. Your primary stakeholders will be Platform Operators - customer AI/ML platform teams who deploy, configure, and operate our platform inside their organizations. You will be responsible for creating a distribution vehicle (including packaging and deployment tooling) that is easy, extensible, secure, and highly reliable. Success in this role means navigating the tradeoff between deployment flexibility and operational scalability – dramatically reducing the friction and time-to-deployment for our customers while avoiding “snowflake” deployments and building the foundation for us to sustainably scale to thousands of customers. You are ultimately responsible for shipping an end-to-end product experience for Platform Operators, composing onboarding, configuration, and operational observability and tooling. You will work at the intersection of product strategy, platform engineering, and developer experience, ensuring that our product evolves to meet growing scale and diverse use cases.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees