AI Enablement Engineer

GitHub, Inc.•Redmond, WA

8h•Remote

About The Position

We’re looking for an AI Enablement Engineer to join our Team. You'll work directly with Developer Marketing Operations teams to turn repetitive work into practical, AI-supported workflows. You'll also find high-friction processes and build agents, prompts, bots, templates, CLI-assisted workflows, and automation patterns, then package what works so other teams can reuse it. This is a forward-deployed role: you will work alongside teams, learn how their work actually gets done, and help them move from manual or blank-page work to AI-supported first drafts. People stay in control of judgment, quality, and final decisions. You will build with the newest AI tools every day and watch real people use what you ship. The patterns you write get picked up by other teams, so a good first version spreads well beyond the team you started with.

Requirements

6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field.
equivalent experience.

Nice To Haves

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Experience as a forward-deployed, embedded, or solutions engineer working directly with non-engineering teams.
Track record of turning one-off tools into reusable patterns other people adopt (internal platforms, templates, shared libraries).
Experience with automation, agents, Copilot, CLI tools, scripts, bots, or internal productivity systems.
Explains technical ideas in clear, approachable language to non-technical partners.
Passion for GitHub and open source, and excited to shape how an organization adopts AI.

Responsibilities

Use AI tools and practices across the software development lifecycle to turn repetitive Developer Marketing Operations work into AI-supported workflows.
Learn how each team's work actually gets done, and translate what you see into agents, prompts, bots, templates, and CLI-assisted automation.
Lead design discussions for each workflow, test design hypotheses, and write clear specifications for what you build.
Build first-draft automations (context prep, summaries, updates, analysis, next steps) for Hubbers to review and decide on.
Write code and workflows that are extensible, maintainable, well-tested, and secure, and use debugging tools to confirm they hold up in daily use.
Review and harden what you ship: test coverage, adherence to standards, and security built into each layer.
Package what works so one team's win becomes a pattern other teams adopt without an engineering ticket.
Help non-engineering Hubbers feel confident using AI in real, everyday work.