Enterprise AI Associate
Mercor is hiring an Enterprise AI Associate in San Francisco, United States. It pays $110k-$150k a year and Level rates it ; you can apply on Mercor.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions AI agents, product management and go to market among its tools and skills.
- Level classes it as a mid-level role.
- Mercor has 107 other open roles on Level.
AI in this role
Support enterprise AI engagements and translate customer feedback into agent capabilities.
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As an Enterprise AI Associate, you'll work at the intersection of customer engagement, product management, and go-to-market operations — helping Mercor's largest enterprise customers successfully deploy and scale AI solutions. This role is built for someone with a structured, analytical mindset who thrives on high agency, moving quickly, and taking ownership of ambiguous problem statements.
You'll be embedded in active customer engagements, working alongside senior Enterprise leads in conversations with senior stakeholders about their top organizational AI priorities and pain points, and translating those needs into engagement delivery. You will play a critical part in shaping our offerings by supporting our go-to-market motion, brand positioning, and relaying customer feedback to engineering.
What You'll Do
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
What We're Looking For
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
How You Work
High-agency operator: you proactively insert yourself into undefined challenges
Structured thinker: you approach messy problems with frameworks and clear hypotheses
Strong communicator: you write and speak with precision, adjusting your style for technical and non-technical audiences
Delivery-oriented: you take ownership of workstreams and see them through to completion
Curious and adaptable: you learn quickly and bring energy to new domains
Nice to Haves
Experience in strategy consulting at a top-tier firm, particularly in technology sectors
Prior exposure to enterprise AI or SaaS commercial motions
Background in venture capital or private equity with client-facing responsibilities
Compensation and Benefits
Competitive salary and bonus earning potential + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
Medical, dental, and vision coverage
401(k)
Monthly meal stipend
Excellent in-office culture
How we rate this
Enterprise AI Associate at Mercor rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where client engagement was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, Go To Market, and Client Engagement. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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