Federal Deployment Lead

Thread AI Thread AI is focused on building an AI orchestration engine and is looking for dedicated individuals to join its growing team. Our goal is to make infrastructure simple for enterprises and public sector agencies seeking to get the most from AI and AI Agents. Headquartered in New York, our growing team is a group of experts who have a track record of creating and executing against complex workflows and infrastructure. We are a lean team of engineers, strategists, and product thinkers - with a co-founding team that spent the better part of a decade building AI/ML products at Palantir that were deployed across both the private sector and public sector. We believe that a small dedicated team with a flat structure and collaborative culture can move faster and build better products than large hierarchical organizations. We believe that if AI is going to change the way we work, we have an obligation to make it trustworthy, verifiable, and human-centered. That belief shapes everything we build and how we operate. About The Role This is not a project management role, but a hybrid of strategic thinking, technical fluency, client partnership, and relentless ownership. Own the full lifecycle: Walk into a federal agency, decompose their hardest problems, architect a path to production on Lemma, and drive it to completion - through compliance, politics, and technical uncertai [... source excerpt omitted ...] inciples thinker: You decompose complex, ambiguous problems into their load-bearing assumptions instinctively. You synthesize technical constraints, political dynamics, compliance requirements, and user behavior into a cohesive plan. Federal fluency: Navigated at least some of: FedRAMP, ATO packages, FISMA, NIST 800-53, IL4/IL5. etc. You don't need to be a compliance engineer, but you need to design delivery approaches that work within the landscape. Technical depth: You can read an architecture diagram and spot where it will break. You understand how APIs, data pipelines, orchestration engines, and AI/ML models fit together. Experience with AWS/GCP/Azure, multi-tenant architecture [... source excerpt omitted ...] about how orchestration layers should work. Experience operating in early-stage environments (Series A/B) where you've had to build the playbook, not follow one. Why Thread AI You'll join a company at the moment where operational decisions compound. The systems you build will define how Thread AI scales - not just in headcount, but in how we think, decide, and execute. You'll work alongside a founding team that spent years at the intersection of AI and enterprise infrastructure, and a team of builders from Palantir, Goldman Sachs, Google, Uber, and MIT who chose this problem because they believe it's one of the most important in enterprise technology. We believe that in an