5 months ago
Base Salary
$130k - $500k/yr
Responsibilities
- Embed with enterprise customers to understand technical requirements and business goals.
- Architect and implement custom integrations, APIs, and workflows on Mercor’s platform.
- Deploy scalable solutions in client environments and drive successful launches and expansions.
- Build internal tools and reusable components to accelerate future deployments.
- Translate ambiguous enterprise needs into clear technical plans and shipped systems.
- Collaborate with customer stakeholders and internal teams to deliver systems that integrate AI-powered human intelligence into complex enterprises.
Requirements
- Strong software engineering fundamentals in at least one modern language such as Python, Go, or Rust.
- Experience building and deploying production systems in cloud environments such as AWS, GCP, or Azure.
- Ability to work directly with customers and explain technical concepts to non-technical stakeholders.
- Ability to take ownership, navigate ambiguity, and operate autonomously in high-stakes environments.
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over four years
- Relocation bonus
- Housing bonus for employees living within 0.5 miles of the office
- Monthly meal stipend
- Free Equinox membership
- Monthly laundry reimbursement
- Monthly personal wellness reimbursement
- Health, dental, and vision insurance
- In-person work five days per week in San Francisco, New York City, or London
About Mercor
Mercor builds an expert-powered platform that trains, evaluates, and deploys AI systems for AI labs and enterprises. It operates APEX to assess model performance on economically valuable tasks, and provides services such as custom AI agents and teams of vetted domain experts who encode organizational knowledge into AI. Founded in 2023 and headquartered in San Francisco, it is privately held and works with frontier AI labs and enterprise clients requiring strict data isolation.