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Enterprise AI Associate

Mercor· Enterprise Agents
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San Francisco, New York City$110k - $150k + equity + bonusFull-timePosted 5mo ago

About the role

Enterprise AI Associate role at Mercor focusing on delivering and scaling AI solutions for enterprise customers, bridging customer engagements, product management, and go-to-market operations.

Responsibilities

  • Support the end-to-end delivery of enterprise AI engagements - scoping workstreams, tracking milestones, and coordinating across internal and client-side stakeholders
  • Join client meetings to document AI pain points, synthesize top organizational priorities, and identify specific workflows where Mercor can drive value
  • Translate qualitative client feedback and edge cases into structured execution plans, working directly with engineering teams to shape new AI agent capabilities
  • Step into ambiguous problem spaces - scope unowned internal initiatives, define clear goals, and drive projects forward when there is no established playbook
  • Refine go-to-market messaging and sales collateral - converting real-world customer interactions into updated pitch decks, company blurbs, and brand positioning
  • Contribute to internal process improvements - building playbooks, templates, and frameworks that make the team more effective at scale
  • Stay current on trends in frontier AI, enterprise AI deployment, and data operations to bring an informed perspective to client conversations

Qualifications

  • 1–3 years of experience in management consulting, operations, strategy, product management, or a similarly structured analytical environment
  • Strong ability to break down complex problems, structure work plans, and communicate findings clearly to diverse audiences
  • Excellent operational instincts - you track details without losing sight of the bigger picture
  • Comfortable navigating ambiguity and proposing solutions when there's no clear playbook
  • Genuine intellectual curiosity about AI - you don't need to be an engineer, but you should want to understand how these systems work and why they matter
  • Collaborative by nature, with the ability to build trust quickly with both clients and internal teammates
  • Bonus: prior exposure to AI, data operations, or technology-adjacent work

Skills

Required:Problem structuring and hypothesis testingStakeholder managementGo-to-market content refinementCommunicationCuriosity about AI

Benefits

  • Medical, dental, and vision coverage
  • 401(k)
  • Monthly meal stipend
  • Competitive salary and bonus earning potential + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
  • Excellent in-office culture
Last updated Jul 29, 2026. Interested? Apply on the company site.

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