Jobs at Tribe AI

Own onboarding and offboarding, optimize Rippling and related HR systems, administer benefits and employment changes across US, Portugal, and Canada, and manage compliance, immigration, and work authorization processes. Support performance reviews, leveling, recognition, and other people programs while building scalable, AI-enabled workflows and documentation. Partner across teams and help expand manager support and HRBP capabilities as the company grows.

Own Tribe AI’s most complex enterprise relationships, including client strategy, commercial outcomes, delivery quality, and account expansion. Coach and develop General Managers while contributing to hiring, playbooks, deal frameworks, account reviews, and operating standards. Partner with founders and leadership on firm-wide priorities, market positioning, partnerships, and capability development. Advise senior executives on AI strategy and guide teams through ambiguous, high-impact engagements.

Own Tribe’s corporate security, compliance, AI governance, and client-facing security programs. Lead SOC 2 and future certification efforts, enterprise security reviews, risk management, security controls, incident response, vendor risk, and Trust Center operations. Establish governance for AI agents, assistants, model providers, and subprocessors while partnering with engineering on architecture reviews, threat modeling, secure SDLC, data flows, and production readiness. Translate customer requirements into scalable security controls and operating processes.

Lead design of AI agent experiences—conversation and voice flows, multi-turn dialogs, escalation and error handling. Create user journeys, information architecture, wireframes, and clickable prototypes. Co-facilitate discovery workshops, ground decisions in user research, contribute to design systems, and ensure scalable, production-ready UX patterns for enterprise AI deployments.

Embed with enterprise clients to discover user needs and build AI-powered full-stack features (React/Next.js frontend, Python/Node backend). Rapidly prototype, integrate LLM APIs, harden for production, iterate with users, and contribute to internal libraries and standards.

Lead client-facing AI engagements: design end-to-end AI/ML architectures, drive technical discovery, enable engineers, translate technical choices to business outcomes, and create reusable deployment patterns.

Lead technical discovery and architect end-to-end GenAI and ML systems. Build rapid prototypes, define production-grade architectures (security, observability, deployment), create reference architectures, advise stakeholders, partner with sales and delivery teams, and collaborate with OpenAI/Anthropic to validate approaches and unblock technical constraints.

Lead client-embedded product strategy and delivery for enterprise AI solutions (80% onsite). Drive solution discovery, define product vision, prioritize backlogs, prototype, and manage end-to-end implementation. Translate client work into scalable internal products, share best practices, and influence executive stakeholders to ensure value realization.

Lead client-facing AI engineering engagements: build and deploy production LLM systems using RAG, vector DBs, and agent frameworks; handle cloud deployments, CI/CD, and reliability; debug enterprise issues (auth, networking, data); embed with client teams and document solutions for reuse.

Lead and grow Tribe's strategic partnerships with frontier AI and cloud providers. Build partner GTM programs, drive co-sell and product alignment, surface joint customer narratives, track partner-influenced pipeline, and shape long-term partner strategy in a fast-moving GenAI ecosystem.

Own technical transformation for 1-2 enterprise clients as a field CTO: set technical direction, lead cross-functional teams, advise C-suite, and build reusable Tribe IP (architecture patterns, evaluation frameworks, deployment playbooks). Hire and develop teams, translate field lessons into practice, and ensure production-grade AI/ML systems that scale and deliver business outcomes.

Lead product marketing for Tribe's enterprise AI services: develop positioning, launch repeatable offerings, build partner marketing and enablement with Anthropic/OpenAI/Google, and create customer evidence and content to drive go-to-market and field adoption.