Build and manage legal client pipelines, source and recruit legal experts, and support end-to-end deal execution for Mercor’s enterprise AI solutions.
Locations (3)
San Francisco, California, United States
New York, New York, United States
London, England, United Kingdom
Compensation
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Responsibilities
Build pipeline using LinkedIn Sales Navigator, Clay, and other prospecting tools to identify, research, and reach law firms, corporate legal departments, and legal tech companies
Run outbound across email, LinkedIn, and warm intros; write and test sequences, book meetings, and qualify needs for the Client Services Sales Lead, Legal
Own product strategy and execution for Meshy's B2B growth, with business customer acquisition and revenue growth as core goals
Compensation
Base Salary: USD $150k - $250k
Responsibilities
Own product strategy and execution for Meshy's B2B growth
Identify customer needs and growth opportunities, define growth strategies, and continuously optimize the full funnel from acquisition and conversion to retention and expansion
Contribute to B2B monetization strategy and drive conversion and customer value
Build the B2B growth metrics framework and drive product decisions through data analysis and experimentation
Partner closely with operations, marketing, engineering, design, and data teams to ship growth initiatives efficiently
Lead applied machine learning work on recommendation systems for enterprise customers, owning end-to-end model development, evaluation, and deployment.
Compensation
Competitive base salary with equity in a unicorn-stage company
Responsibilities
Own customer recommendation system engagements end-to-end
Translate customer requirements into concrete specifications for recommendation models
Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale
Fine-tune and adapt large-scale sequential recommendation models for customer-specific use cases
Design task-specific evaluations for recommendation model performance and interpret results
Requirements
Nice to have: transformer-based recommendation architectures
Nice to have: external customer delivery
Nice to have: serving recommendation models under latency and throughput constraints
Deliver pizza and provide customer service as a Domino’s Delivery Driver.
Compensation
Domino’s Pizza Delivery Driver: Earn $15 avg/Hr! Total Compensation: Drivers average $15.00 - $20.00 per hour in total compensation, including hourly pay, tips, and mileage reimbursement. Annual Potential: $30,000 - $40,000 per year in total compensation.
Responsibilities
Safely and quickly deliver orders to customers in the local area.
Answer phones and accurately take customer orders.
Process payments and handle transactions accurately.
Provide exceptional, friendly customer service with a positive attitude and a smile.
Help maintain store cleanliness, including washing dishes, sweeping, and mopping.
Support deals end-to-end: prep client materials, scoping docs, and proposals, join client calls, and keep engagements moving through procurement, conflicts, confidentiality, and security review
Source, vet, and recruit legal experts to staff client and AI-lab projects at scale
Own conversion across client and expert pipelines and keep CRM data clean
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