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Union.ai
Seattle, Washington, United States
Source: Union.ai careers · View original posting
From Union.ai's posting. “We” and “our” refer to the employer.
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, has emerged as the modern standard for data and AI orchestration, and is trusted by leading technology organizations including LinkedIn, Stripe, and Wayve to run millions of mission-critical workflows on the platform. These workflows comprise data preparation, model training, and scaled inference spanning thousands of GPUs, all major clouds, and on-premise infrastructure.
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.
Union is taking its platform into deep, long-running partnerships with the largest infrastructure providers in the industry, including AWS, OpenAI, GCP, Azure, NeoClouds, and Apple. Each one is a multi-quarter engineering effort, not a business development handshake. It means porting our product to run natively on the partner's stack, then figuring out how that product gets packaged and installed across the wide range of enterprise environments their customers run.
We're hiring an Engineering Manager to run the two teams that make this possible.
Partner Engineering carries each hyperscaler and OEM relationship (AWS, OpenAI, GCP, Azure, NeoClouds, Apple, and others) through a roughly nine-month integration cycle, porting Union's product onto the partner's infrastructure and control planes.
Deployment Engineering turns what comes out of those integrations into a maintained, repeatable install surface: containers, Helm charts, Terraform modules, marketplace listings, and BYOC or self-managed variants. The goal is that the product installs correctly across enterprise environments without bespoke one-off engineering per customer.
We don't ship an integration and move on. We stay close to what each partnership actually requires in production, and translate real integration and install problems into reusable patterns, automation, and playbooks that make the next partnership smoother than the last.
This role is hybrid, based out of our Seattle office.
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