Solutions Engineer

🕒 May 12

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Tribe AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

Artificial Intelligence • Enterprise • B2B

Tribe AI is an enterprise AI consultancy and product studio that builds custom generative AI solutions and end-to-end AI products for large organizations. They combine a network of 600+ AI engineers and product leaders, partnerships with OpenAI/Anthropic/AWS, and domain experience to deliver rapid prototyping, production deployments, and measurable business outcomes across industries like financial services and healthcare.

📋 Description

• You'll be embedded directly with client engineering teams — in their codebases, in their standups, in their friction • Your 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 example • 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 how existing SDLC processes break when you introduce coding agents — QA bottlenecks, poorly scoped requirements, review debt — and redesign them • Scope and deliver upskilling programmes built around the client's stack and culture, not generic content • Document what's working and feed it back to the practice — you're helping build the playbook, not just running it • Identify repeatable patterns across engagements and contribute to how Tribe scales this service

🎯 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've spent meaningful time inside large engineering organisations (100+ engineers) and understand why enterprise moves the way it does • You have consulting or consulting-adjacent experience, or have led developer productivity/DX from the inside at an AI-forward company • You find the enterprise transformation problem genuinely interesting, not a necessary evil • You get energy from bringing the whole room up two levels — not just the engineers who are already excited

🏖️ Benefits

• Impact: Be at the frontier of how enterprises actually adopt agentic coding — not in theory, in real codebases with real constraints • Timing: 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 it • Variety: Work across industries, stacks, and organizational cultures — no two engagements look the same • Practice: Help build something from the ground up — the frameworks, playbooks, and patterns that define how this work gets done at scale • Team: Work alongside people who have reorganized how they work around these tools and are serious about what comes next