Engagement Manager

The role

You will own customer relationships across application-layer companies, research labs, and enterprise clients. You will partner with technical and business stakeholders to guide training and deployment while working cross-functionally to manage timelines and drive account growth.

What you will do

• 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
• 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

Required qualifications

• 4+ years of total work experience
• Experience in consulting or as a technical program management role in industry
• Technical BS/MS (or equivalent practical experience)
• Comfort working with ML/engineering stakeholders
• 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

Nice to have

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

Benefits

• Competitive salary
• Aggressive bi-annual performance bonus structure
• Meaningful equity
• $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)

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.