Tribe AI

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

This listing is sourced directly from Tribe AI's careers page and normalized into a canonical job model.