Engineering Manager, Partner & Deployment Engineering

About Us

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 te, 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 Linked In, 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, Neo Clouds, 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, Neo Clouds, 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.

• Own planning and delivery across partner integrations and deployment formats.
• Manage staffing, performance, and career growth across both teams. Identify and develop the project leads who own technical direction for each integration and each deployment work stream.
• Own the technical relationship with partner engineering counterparts, including AWS, OpenAI, GCP, Azure, Neo Clouds, and Apple, serving as the senior technical point of contact through the full multi-quarter integration cycle.
• Set and hold the bar for what production-ready means for a partner integration and a deployment artifact: reliability, security, and operability, not just that it runs.
• Set relative priority across active partnerships and deployment work streams when they compete for engineering time, and make that tradeoff visible to leadership rather than absorbing it silently.
• Ensure every completed integration produces a corresponding, maintained deployment artifact. Partner Engineering's output should feed Deployment Engineering's roadmap, not create untracked one-off installs.
• Track and drive down each team's operational footprint: on-call load, incident recurrence, and the support burden that partner-specific or deployment-specific issues place on the rest of the org.
• Partner with project leads and senior engineers on technical direction. Make sure it exists and is sound without setting it yourself.
• Work closely with Business Development, Sales, and engineering leadership to align on partnership priorities and technical tradeoffs.

• 5+ years in software engineering, with meaningful exposure to distributed systems, Kubernetes, or cloud infrastructure.
• 3+ years managing software engineers or engineering teams, including at least one planning cycle taken from commitment through delivery.
• Experience running or closely supporting long-cycle technical partnerships or integrations with external companies, six months or longer. Internal roadmap delivery alone is not the same thing.
• Proven experience with AWS, GCP, or Azure, and comfort evaluating tradeoffs across them without writing the code yourself day to day.
• Deep familiarity with CI/CD,…