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Morpheus Talent Solutions is partnering with a fast-growing AI startup to recruit a high-ownership operator for SF Bay Area. The role is based in San Francisco/San Mateo, onsite or hybrid, with relocation considered and a base salary of $150k-$220k plus bonus.
The Opportunity: own high-priority initiatives, work directly with founders, and move from strategy to shipped outcomes across business, operations and growth. A rare front-row seat to production-ready AI work in a scaling startup.
(Ex-Consulting / Banking / PE), AI Post-Training
$150k - $220k base + Bonus
San Francisco / San Mateo, CA (Onsite / Hybrid, relocation to the Bay Area considered)
Morpheus are partnered with a fast-growing, recently Series A-funded AI startup that runs the post-training and production layer for frontier AI labs and enterprises. While the leading labs build their core models in-house, much of what makes those models reliable in the real world, such as data generation, human evaluation and reinforcement learning, is increasingly handled by specialist partners. This company is one of the startups leading that shift.
Backed by a global network of vetted experts, the business supports complex AI workflows including agentic evaluations, multimodal data labeling, RL environments and code-based tasks. Having started out serving frontier labs, it has expanded into enterprise-grade tools for deploying, monitoring and improving AI systems in live environments, and counts leading AI labs and major enterprise brands among its clients as it pushes further into Fortune 500 accounts.
This is a high-ownership role driving the company's highest-priority, highest-ambiguity initiatives. You'll pick up hard, undefined problems, structure them and drive them to outcomes, whether that's launching a new line of business, fixing a broken process or standing up a function from scratch. You'll work directly with the founders and leadership on the company's biggest bets, moving fluidly between strategy, operations and execution.
For someone early in their career, it's a rare front-row seat to how leading AI labs and enterprises get models production-ready, at a company still early enough for one person to meaningfully shape how it scales.