AI Enablement Engineer

About the role

Coder is looking for an AI Enablement Engineer to help execute our Smart AI roadmap and make AI and vibe coding easier across the company. You’ll work directly with employees to understand what they’re trying to build, answer questions about Smart AI best practices, and remove the technical or process barriers getting in their way.

Key responsibilities

• Act as a hands‑on technical partner for Coder employees using Smart AI, helping them understand best practices, choose the right approach, and work through blockers.
• Meet with employees across the company to understand their needs, requirements, workflows, and impediments as they build with AI.
• Answer questions in Slack, meetings, and working sessions about Smart AI tools, models, prompts, harnesses, development environments, and recommended patterns.
• Identify recurring needs across our internal AI community and translate them into clear requirements for the Smart AI roadmap.
• Execute against the existing Smart AI roadmap by building and improving reusable journeys, skills, templates, system instructions, and other paved paths.
• Contribute directly to infrastructure enhancements that make internal AI development easier, more reliable, and more consistent.
• Build alongside users when useful, using tools like Claude Code and other AI‑assisted development workflows to prototype solutions and validate new approaches.
• Help improve the dedicated development environment employees use for vibe coding, including integrations, connectors, APIs, model access, and supporting infrastructure.
• Turn one‑off questions into reusable solutions when a pattern emerges, so the next employee can start from a better place.
• Partner closely with the Smart AI Program lead to connect day‑to‑day employee feedback with roadmap priorities and execution.
• Host office hours, workshops, lunch and learns, and other enablement sessions that help employees build confidence and develop stronger AI working habits.
• Create clear guidance, examples, and documentation for Smart AI capabilities as new journeys, skills, tools, and best practices are introduced.

Required profile

• 3+ years of experience working in technology, preferably in a startup environment.
• An engineering background or meaningful hands‑on experience building with tools like Claude Code.
• Ability to learn new tools and technologies quickly through independent study and experimentation.
• High degree of empathy for users, especially those working with cutting‑edge technology for the first time.
• Proven ability to identify user roadblocks and create practical solutions that remove them.
• Tinkering mindset; looking for ways to improve, automate, and simplify.
• PM‑like pattern recognition; spotting recurring signals in user feedback and turning them into clear, repeatable golden paths.
• Strong communication skills across technical ability levels.
• Comfort moving between requirement gathering and implementation.
• Judgment to distinguish a one‑off user issue from a systems problem worth solving for everyone.

Required skills

• Claude Code
• AI‑assisted development workflows
• API integration
• Prompt engineering
• Smart AI tools and models