Tribe AI
Forward Deployed Engineer, Agentic Adoption
United States
Sponsorship not specifiedDetected 71 days ago
Leadership
About the role
- You'll be embedded directly with client engineering teams - in their codebases, in their standups, in their friction.
Responsibilities
- Scope and deliver upskilling programmes built around the client's stack and culture, not generic content
- Practice Building
- Document what's working and feed it back to the practice - you're helping build the playbook, not just running it
- Enterprise AI adoption is the defining challenge for our partners right now, and Tribe is uniquely positioned to lead it
- Practice: Help build something from the ground up - the frameworks, playbooks, and patterns that define how this work gets done at scale
Requirements
- You've genuinely reorganised how you work around agentic coding tools - Claude Code or Codex is your daily driver, and you can articulate specifically what changed
- You have consulting or consulting-adjacent experience, or have led developer productivity/DX from the inside at an AI-forward company
Skills
- Work alongside clients in their codebases, demonstrating agentic workflows in context
- Pair with individual engineers to help them cross the threshold from "I tried it" to "this has changed how I work every day"
- Teach by doing, making codebases agent-friendly with rules files, custom skills, MCPs, etc.
- Run discovery with engineering leadership to map where the real workflow friction is - not where they think it is
- Identify repeatable patterns across engagements and contribute to how Tribe scales this service
- Work alongside people who have reorganized how they work around these tools and are serious about what comes next
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This listing is sourced directly from Tribe AI's careers page and normalized into a canonical job model.