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Mercor

Engagement Manager

Mercor is hiring an Engagement Manager in San Francisco, United States. It pays $180k-$200k a year and Level rates it ; you can apply on Mercor.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 86 other open roles at Mercor.

AI in this role

About Mercor

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

As an Engagement Manager, you will own key customer relationships across application-layer companies, research labs, and enterprise clients, serving as the primary point of contact from evaluation through delivery. You’ll partner closely with technical and business stakeholders to guide training and deployment, resolve issues, and ensure a high-quality customer experience.

You’ll work cross-functionally with product, operations, and engineering to manage timelines, support execution, and surface insights that drive account growth. This role also plays a key part in expanding revenue—leading commercial processes for new and existing customers and helping leadership identify and unblock growth opportunities in a fast-moving AI environment.

Job Description

  • Manage and grow a portfolio of relationships across application-layer companies, research labs, and enterprise customers

  • Serve as the primary point of contact for customer questions, issues, and escalations; triage internally and drive resolution.

  • Lead commercial processes to close net-new and existing business

  • Manage technical relationships with research teams and help guide evaluation and training strategy

  • Work cross-functionally with product, operations, and engineering to track delivery and timelines

  • Forecast revenue growth and help leadership understand how to unblock additional growth opportunities

Ideally you’d have:

  • 4+ years of total work experience, with experience in consulting or as a technical program management role in industry

  • Technical BS/MS (or equivalent practical experience) and comfort working with ML/engineering stakeholders

  • Experience in a top-tier Consulting Firm and fast-growth technology startup

  • A proven track record in enterprise client facing roles and expanding customer relationships

  • Excellent verbal and written communications

  • Ability to understand the ML training and evaluation lifecycle and build trusted relationships with technical customers.

  • Great cross-functional experience and collaborative ability

Compensation & Benefits:

  • Competitive salary w/ aggressive bi-annual performance bonus structure + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)

  • $1.5K monthly stipend for meals

  • Free Equinox membership

  • $200 monthly laundry/housekeeping reimbursement

  • $200 monthly personal wellness reimbursement

  • Health, Dental, Vision insurance

  • 401(k) with company match

  • Up to $15k Relocation bonus

  • $10K proximity bonus (if you live within 0.5 miles of our office)

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.

How we rate this

Engagement Manager at Mercor rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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