Deployment Engineering Manager, Enterprise
Application analysis
Deployment Engineering Manager, Enterprise at Scale AI is a forward deployed ai company role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: Government / DoD context.
About Scale AI
This company is building AI products where forward deployed engineers translate capabilities into customer outcomes quickly. The role is anchored in San Francisco, NY, so expect on-site customer work in that region.
Signals in the listing
Stand out for Deployment Engineering Manager, Enterprise
- Lead your application with one paragraph tying Deployment Engineering Manager, Enterprise to a specific customer or deployment you owned — Scale AI hires for shipped outcomes, not tool lists.
- Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
- Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
- State clearance status clearly up front (active, expired, or eligible) and mention any prior NIPR/SIPR, IL5, or government cloud accreditation work — recruiters filter on this early.
- This role is tied to San Francisco, NY — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Scale AI
- Demonstrate rapid prototyping with a concrete example — Scale AI will probe for specifics, not buzzwords.
- Demonstrate customer discovery with a concrete example — Scale AI will probe for specifics, not buzzwords.
- Expect questions about real deployments, safety tradeoffs, and how you partner with customers on week one.
- Read recent engineering blog posts, product launches, and customer stories on scale.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About our Enterprise Team:
Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last. We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you.
Responsibilities:
Define and execute the infrastructure roadmap aligned