AI Enablement Engineer

Cognition Cognition · Coding AI · San Francisco, CA · Customer Engineering

This role focuses on enabling enterprise engineering teams to adopt and integrate AI software agents (like Devin) into their workflows. The engineer will lead workshops, guide customers, pair-program, identify high-ROI workflows, create enablement materials, and collaborate on scaling AI Enablement into a productized offering. It requires strong software engineering fundamentals, customer-facing experience, and the ability to teach and scale learnings.

What you'd actually do

  1. Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)
  2. Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.)
  3. Pair-program with engineers at varying experience levels, helping them build, debug, and automate real projects
  4. Identify high-ROI workflows for Devin across engineering, QA, support, data, and product teams
  5. Create enablement materials, best practices, and shared playbooks based on customer learnings

Skills

Required

  • Degree in a STEM field or equivalent hands-on experience
  • 3+ years as a software engineer or technical consultant with strong coding proficiency (Python, JavaScript/TypeScript, or similar)
  • Proven ability to communicate complex technical topics to diverse audiences
  • Strong customer-service orientation and ability to thrive in interactive, people-facing environments
  • Excellent verbal and written communication skills
  • Demonstrated ability to learn and adapt exceptionally fast

Nice to have

  • Experience leading technical workshops, internal enablement programs, or developer onboarding initiatives
  • Deployed or integrated LLM or agent-based systems in production settings
  • Energized by teaching, coaching, and helping others reach “aha” moments
  • Previously founded or joined early-stage startups where autonomy and execution speed were critical

What the JD emphasized

  • building end-to-end software agents
  • first AI software engineer
  • AI-native IDE
  • AI teammates
  • AI that can reason on real-world tasks
  • integrate agentic workflows
  • AI Enablement Engineers
  • scale AI Enablement into a repeatable and productized offering

Other signals

  • AI Enablement Engineers help teams adopt Devin and integrate agentic workflows
  • shape how the program scales globally
  • turning individual training engagements into repeatable playbooks
  • define how AI Enablement becomes a product in itself