Job Description
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Candidate Profile
The Principal GM is someone who has already done the GM job well—and is ready to own more.
The right candidate has a track record of driving large, complex enterprise relationships to strong commercial outcomes, and has demonstrated the instinct to build beyond their own book of business. They have coached others, shaped how a team or practice operates, and taken ownership of outcomes they didn't directly control. They are the person others look to when a situation is ambiguous, a deal is hard, or a client relationship needs rescuing.
8–15+ years of progressive experience in enterprise consulting, services, account management, or complex solution environments—with direct accountability for client relationships and commercial outcomes at significant scale.
Demonstrated ability to manage a portfolio of high-value accounts while simultaneously developing and coaching others.
Track record of building something beyond your own work: a team, a practice, a hiring process, a set of standards that outlasted your direct involvement.
C-suite credibility across complex, multi-stakeholder organizations—the ability to challenge executives constructively, earn trust through substance, and influence without authority.
Experience recruiting, interviewing, and calibrating talent—ideally for roles similar to this one.
Deep familiarity with the AI landscape and genuine curiosity about how it is reshaping enterprise operations. Technical depth is not required, but you must be credible advising senior executives on AI strategy.
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Tribe AI
View Company ProfileTribe AI is an enterprise artificial intelligence deployment and forward-deployed engineering firm engineered to build, scale, and compound production-grade machine learning systems for Fortune 500 enterprises and hyper-growth organizations. Operating at the intersection of elite talent networks, custom generative AI infrastructure, and hands-on technical execution, the company eliminates the pervasive "POC graveyard" phenomenon—where over 80% of enterprise AI prototypes fail to reach production due to legacy data silos, security bottlenecks, and lack of internal engineering bandwidth—by embedding top-tier machine learning engineers, data scientists, and researchers directly inside client engineering teams. Moving beyond traditional strategic consultancies and off-the-shelf wrappers, Tribe AI equips enterprises with end-to-end model fine-tuning, retrieval-augmented generation (RAG) pipelines, proprietary data activation, and custom LLM orchestrations with elite, scalable, and audit-ready precision. Under the hood, its operational engine—bolstered by deep partnerships with frontier AI labs, forward-deployed engineering squads, AWS cloud-native ML services (SageMaker, Rekognition), and automated compliance frameworks—natively handles complex data ingestion, high-concurrency model inference, enterprise agentic workflows, and secure, on-premise or VPC deployments. What sets Tribe AI apart is its outcome-driven deployment model; by combining world-class technical talent with proprietary engineering tooling, the firm delivers production AI solutions up to 3x faster than industry norms, enabling business leaders to convert raw data into compound competitive advantages.
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