Engagement Manager

Reposted 25 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
180K-500K Annually
Mid level
Artificial Intelligence • Software
We use AI to understand human ability and match talent with the opportunities they're best suited for.
The Role
As an Engagement Manager, you will manage key customer relationships in AI, lead commercial processes, and collaborate cross-functionally to ensure client satisfaction and growth.
Summary Generated by Built In
About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.

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 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)

Skills Required

  • 4+ years of total work experience
  • Experience in consulting or technical program management
  • Technical BS/MS or equivalent practical experience
  • Experience in top-tier Consulting Firm and tech startup
  • Track record in enterprise client facing roles
  • Excellent verbal and written communications
  • Understanding of ML training and evaluation lifecycle
  • Cross-functional experience and collaborative ability

Mercor Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercor and has not been reviewed or approved by Mercor.

  • Fair & Transparent Compensation Pay is considered competitive across many roles, with clear hourly ranges and an hourly/pay‑per‑task mix designed to align rates with expertise. The structure emphasizes transparent, appropriate pay levels and guarantees payment for legitimate logged time.
  • Strong & Reliable Incentives Payments are processed on a predictable weekly cadence via Stripe/Wise, and some tracks offer additional weekly bonus incentives for top performers. This combination of regular payouts and performance bonuses supports dependable earnings when projects are active.
  • Equity Value & Accessibility Select full‑time roles include generous equity grants alongside cash perks such as relocation and housing bonuses. These elements increase total compensation for those positions.

Mercor Insights

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The Company
HQ: San Francisco, California
2,217 Employees
Year Founded: 2023

What We Do

We use AI to understand human ability and match talent with the opportunities they're best suited for.

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