Tribe AI
Forward Deployed CTO
United States · Exec
Sponsorship not specifiedDetected 15 days ago
RESTMachine LearningLLMsRAGSupply ChainLeadership
About the role
- You're not running status meetings or coordinating handoffs.
- In parallel, you'll translate what you learn in the field into reusable Tribe IP: architecture patterns, evaluation frameworks, deployment playbooks.
- That internal work is as central to the role as the client work.
Responsibilities
- Own technical delivery across a focused portfolio of 1-2 enterprise accounts - setting direction, managing risk, and holding the standard on outcomes.
- Act as the senior technical partner for C-suite stakeholders: translate business problems into architectural decisions and make those decisions defensible.
- Build reusable Tribe IP from your client work: architecture patterns, evaluation frameworks, deployment playbooks, and tooling that raises the floor for every FDE team.
- Hire, develop, and retain FD Engineers, Architects, and PMs across your accounts.
- Create conditions for your teams to do their best work - clear scope, the right tools, and air cover to move fast.
Requirements
- 12+ years of engineering experience with deep expertise in AI/ML and production systems.
Skills
- architecture patterns, evaluation frameworks, deployment playbooks.
- Run 1:1s and performance conversations that actually accelerate people's growth, not just check the box.
- Background in client-facing or consulting engineering where delivery accountability was real - not advisory.
- Comfortable managing ambiguity across high-stakes accounts without losing track of what matters.
Benefits
- Develop Tribe's point of view in your domain - whether that's healthcare, financial services, supply chain, or another vertical you know deeply.
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This listing is sourced directly from Tribe AI's careers page and normalized into a canonical job model.