AI Enablement Engineer

Location

United States

Employment Type

Full time

Location Type

Remote

Department

General & Administrative

Compensation

• US Tier 1$130K – $176K • Offers Equity • Offers Bonus
• US Tier 2$121K – $164K • Offers Equity • Offers Bonus
• US Tier 3$111K – $159K • Offers Equity • Offers Bonus

Coder determines compensation based on the level, role, and location you live in. For more information, please see our Compensation Philosophy.

This position is leveled as P3. Please feel free to ask any questions about compensation and levels during your initial interview.

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.

You’ll also turn those needs into shipped improvements. That means building and refining Smart AI journeys, reusable skills, paved paths, and infrastructure enhancements, while partnering closely with the Smart AI Program lead on roadmap execution. You’ll also teach through office hours and sessions, but most of your time will be spent listening, building, troubleshooting, and improving the system around our internal AI community.

What you’ll do here

• 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.

What we’re looking for

• 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. You understand how software is built, orchestrated, and deployed.
• The ability to learn new tools and technologies quickly through independent study and experimentation.
• A high degree of empathy for users, especially those working with cutting-edge technology for the first time.
• A proven ability to identify user roadblocks and create practical solutions that remove them.
• A tinkering mindset. You look for ways to improve, automate, and simplify, then act on them.
• PM-like pattern recognition. You can spot recurring signals in user feedback and requests, then turn them into clear, repeatable golden paths.
• Strong communication skills across technical ability levels. You can explain how something works, help someone debug it, and adjust your approach based on the person in front of you.
• Comfort moving between requirement gathering and implementation. You can understand the problem, define what good looks like, then help build the solution.
• The judgment to distinguish a one-off user issue from a systems problem worth solving for everyone.

Bonus tacos if you have

• An entrepre…