Get more replies from employers
Send a job-specific resume in minutes.
Dormont Manufacturing Co in San Francisco is looking for an AI Enablement Engineer. This role involves guiding teams in adopting AI workflows, conducting workshops, and collaborating with engineering teams.
The ideal candidate should have a STEM degree and 3+ years of experience as a software engineer, with strong skills in Python and JavaScript. The role emphasizes teaching, coaching, and customer service, aiming to scale AI Enablement globally.
We’re the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
Cognition’s AI Enablement Engineers help teams adopt Devin and integrate agentic workflows into their day-to-day development. They combine deep technical expertise, consulting intuition, and a teacher’s mindset to guide teams through real work—building software alongside them while teaching how to use Devin to do the same.
As one of the first AI Enablement Engineers, you’ll also play a key role in shaping how the program scales globally—turning individual training engagements into repeatable playbooks, digital learning content, and partner-driven enablement models that allow Cognition to reach hundreds of thousands of engineers worldwide. You’ll help define how AI Enablement becomes a product in itself: structured, measurable, and continuously improving in impact.
This role is perfect for someone who has strong engineering fundamentals, enjoys working directly with customers, and finds deep satisfaction in teaching others and unlocking their potential—while also thinking systematically about how to scale those learnings to the next 100 teams.