Solutions Engineer

Job Description:You'll be embedded directly with client engineering teams — in their codebases, in their standups, in their frictionYour job is to close the activation gap: run discovery on how engineering actually works today, identify where existing SDLC processes break when you introduce coding agents, and rewire how teams deliver software. Delivering change by building together and teaching by exampleWork alongside clients in their codebases, demonstrating agentic workflows in contextPair 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, etcRun discovery with engineering leadership to map where the real workflow friction is — not where they think it isIdentify how existing SDLC processes break when you introduce coding agents — QA bottlenecks, poorly scoped requirements, review debt — and redesign themScope and deliver upskilling programmes built around the client's stack and culture, not generic contentDocument what's working and feed it back to the practice — you're helping build the playbook, not just running itIdentify repeatable patterns across engagements and contribute to how Tribe scales this serviceRequirements: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 changedYou've spent meaningful time inside large engineering organisations (100+ engineers) and understand why enterprise moves the way it doesYou have consulting or consulting-adjacent experience, or have led developer productivity/DX from the inside at an AI-forward companyYou find the enterprise transformation problem genuinely interesting, not a necessary evilYou get energy from bringing the whole room up two levels — not just the engineers who are already excitedBenefits:Impact: Be at the frontier of how enterprises actually adopt agentic coding — not in theory, in real codebases with real constraintsTiming: This is the year it happens. Enterprise AI adoption is the defining challenge for our partners right now, and Tribe is uniquely positioned to lead itVariety: Work across industries, stacks, and organizational cultures — no two engagements look the samePractice: Help build something from the ground up — the frameworks, playbooks, and patterns that define how this work gets done at scaleTeam: Work alongside people who have reorganized how they work around these tools and are serious about what comes next