Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.
We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.
Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.
Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.
About the role:
Evals and post-training are among the largest new markets in AI, and the category is still being defined. We’re looking for a Senior Product Marketing Manager to shape that category and own how Mercor’s offerings are positioned and sold.
Mercor works with the world’s leading AI labs, application-layer companies, and a growing set of enterprises to supply the human expertise behind frontier models. Enterprise evals are one of our top priorities. The buyers are technical, and the market moves fast.
You’ll work directly with product, research, and GTM, and partner with growth marketing on driving pipeline.
Key responsibilities:
Category creation and point of view: Turn Mercor’s point of view into work technical buyers cite, from research-backed narratives to executive talks.
Positioning and messaging: Own the core narrative for Mercor’s evals and post-training offerings, including value props by segment, messaging frameworks
Launches: Plan and run product launches end to end with product, research, and marketing so they land with technical buyers, move deals, and make noise online.
Buyer research: Become the internal expert on how AI researchers, data leads, and enterprise AI teams buy. Bring what you learn back to product and leadership.
Sales enablement: Give our engagement managers the pitch, demo storyline, and proof points they need, and keep them current as the products change.
Competitive intelligence: Own competitive positioning, battlecards, and objection handling; use competitive input to inform pricing and packaging decisions.
Customer proof: Partner with customer marketing to turn evals and post-training customers into case studies and references.
Campaigns: Partner with growth in the interim on campaigns that build pipeline for evals and post-training.
Must haves:
You have 8-10 years of product marketing experience at an early-stage or high-growth B2B company.
You’ve helped define or reshape a category.
You’ve worked on a small marketing team and can flex across responsibilities.
You know how to market to technical buyers, and you follow evals and post-training research closely enough to debate methodology with a researcher.
You’re an exceptional writer with a high bar for quality.
You’ve built product marketing processes from scratch, like launch tiering or an enablement cadence.
You build relationships and earn trust with senior stakeholders across product, research, and sales.
You use AI tools to speed up your own work and have built workflows beyond chat.
Bonus
Experience at a company that sells to or partners with AI labs
Background in AI infrastructure, data, or developer tools marketing
Familiarity with the AI benchmarking or evals landscape
Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.