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You will manage the end-to-end delivery of AI simulation environments, coordinating between engineering, QA, and SME teams to meet customer requirements. You are expected to stay hands-on by building automation tools, reviewing QA feedback, and maintaining project plans as scopes evolve.
Candidates must have at least 3 years of experience in technical program management or a similar role within a technical field. Strong technical fluency, excellent organizational skills, and the ability to manage complex, multi-team programs are essential for success.
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.
We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher, Humanity’s Last Exam, and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.
As a Technical Program Manager at Patronus AI, you will run the production line that turns frontier-lab demand into delivered RL environments. Our customers commission simulations of real applications and workflows, and you own the path from signed work order through SME sourcing, environment build, task generation, QA, and delivery.
Like all cutting edge fields, the state of the industry and the work changes shape constantly. App lists get swapped after a work order is signed, difficulty definitions get renegotiated a week before delivery etc. Your job is to keep the plan honest through all of it: who owns what, what is due when, and whether a delivery is actually ready to ship. When scope moves, you move the plan with it.
This is not a coordination-only role. We believe you should not manage work you don't understand. You will stay in the details, reading QA feedback rows, poking at environments, and sanity-checking task quality, and you are expected to pitch in directly where it unblocks the team. You will own identifying opportunities for automation and build them yourself.
Your work will help frontier labs stress-test and improve the next generation of AI agents, advancing progress toward safe, human-aligned general intelligence.
"The number one qualification to succeed in this machine learning course is gumption" - John Lafferty, CS Professor at Yale
Above all, we look for a proactive mindset, willingness to learn, unlimited energy, and relentless optimism. You are a great fit if you have a background in the following:
Nice to have:
The expected base salary range for this role is $125,000 - $250,000 USD. In addition to base salary, we offer equity and benefits. Actual compensation will be determined based on experience, qualifications, skills, and location.
Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
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Simulating the World's Intelligence
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are training the first world models to simulate digital workflows. Our mission is to simulate all of the world’s intelligence. We are the company behind the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, and CopyrightCatcher. We are backed by top-tier investors like Notable Capital, Lightspeed Venture Partners, Stanford University, Datadog, Noam Brown, Gokul Rajaram, and more.
Offices: San Francisco, California, US
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