AI Enablement Engineer

Company: Coder

Location: United States (Remote)

Salary: $130,000 - $176,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-08-31

About this role

## 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.
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