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Mercor is an AI data company on a mission to organize human intelligence to power the AI economy. The company operates a platform where millions of domain experts are paid to train frontier AI models, and has built APEX, a benchmark family measuring AI's real-world impact on professional work. Mercor Enterprise helps Fortune 500 companies capture how their best people work and translate that expertise into AI agents. The company is a profitable Series C company valued at $10 billion.
You will join as Senior Product Marketing Manager for Evals, owning how Mercor's evals and post-training offerings are positioned and sold to technical buyers including AI labs, application-layer companies, and enterprises. This is a category-defining role in one of the largest emerging markets in AI.
Key responsibilities include:
- Category creation and point of view: Develop research-backed narratives and executive thought leadership that technical buyers cite
- Positioning and messaging: Own core narratives for evals and post-training, including value propositions by segment and messaging frameworks
- Product launches: Plan and execute end-to-end launches with product, research, and marketing teams to drive deals and market impact
- Buyer research: Become the internal expert on how AI researchers, data leads, and enterprise AI teams buy; inform product and leadership strategy
- Sales enablement: Equip engagement managers with pitches, demo storylines, and proof points; maintain currency as products evolve
- Competitive intelligence: Own competitive positioning, battlecards, and objection handling; inform pricing and packaging decisions
- Customer proof: Partner with customer marketing to develop case studies and references from evals and post-training customers
- Campaign support: Partner with growth marketing on campaigns that build pipeline
You will work directly with product, research, and go-to-market teams in a fast-paced environment. The company operates in-person five days a week from San Francisco, NYC, or London offices.
REQUIREMENTS:
- 8–10 years of product marketing experience at early-stage or high-growth B2B companies
- Demonstrated experience helping define or reshape a category
- Experience working on small marketing teams with ability to flex across responsibilities
- Proven ability to market to technical buyers; deep familiarity with evals and post-training research (able to debate methodology with researchers)
- Exceptional writing skills with high quality standards
- Track record building product marketing processes from scratch (e.g., launch tiering, enablement cadence)
- Strong relationship-building and trust-earning skills with senior stakeholders across product, research, and sales
- Proficiency using AI tools to accelerate own work; experience building workflows beyond chat
BONUS:
- Experience at companies selling to or partnering with AI labs
- Background in AI infrastructure, data, or developer tools marketing
- Familiarity with AI benchmarking or evals landscape
