Enterprise Client Partner, Frontier AI

Role Overview

Shape high-value partnerships that help leading AI labs and advanced enterprise teams improve frontier models through evaluation systems, reinforcement learning environments, and human data programs. You will work across research, engineering, and procurement stakeholders to turn complex technical needs into scalable solutions for model evaluation, data generation, annotation, and feedback loops.

Key Responsibilities

• Source and close partnerships with AI labs and machine learning-driven organizations developing frontier models.
• Lead technical discovery across evaluation workflows, RLHF pipelines, and model improvement loops.
• Work directly with research leaders, ML engineers, and data teams to understand system constraints and requirements.
• Translate ambiguous research and engineering needs into clearly scoped human data and evaluation programs.
• Structure and negotiate complex, high-value agreements for data generation, annotation, and evaluation at scale.
• Partner with product, research, and operations teams to ensure delivery meets technical expectations.
• Drive account expansion through deeper integration with evaluation pipelines and reinforcement learning environments.
• Provide clear insight into pipeline quality, deal risk, and market dynamics.
• Bring customer insights into evaluation frameworks, product direction, and go-to-market strategy.

Qualifications

• Ability to communicate effectively with ML engineers and research teams.
• Experience selling AI/ML, developer tools, or other deeply technical products.
• Proven success closing complex, multi-stakeholder deals with both technical and commercial depth.
• Familiarity with model evaluation, RLHF, or reinforcement learning environments.
• Client acquisition, outbound prospecting, enterprise partnership, and enterprise AI experience.
• A structured, hypothesis-driven approach to sales and problem solving.
• High ownership and comfort working in an ambiguous, fast-moving environment.

Preferred Qualifications

• Experience with human data pipelines, including labeling, evaluation, synthetic data, or RLHF.
• Exposure to frontier model development or benchmarking systems.
• Experience working with AI labs, research organizations, or advanced ML teams.
• Understanding of enterprise procurement for high-value technical agreements.

Work Terms

• Full-time, remote role.

Compensation

• Listed compensation range: $220, 000 to $400, 000 per year.
• National base salary range: $140, 000 to $180, 000 USD.
• Equity compensation is available to all employees. Performance-based bonuses may also be available depending on the role and company policies.
• Benefits include up to 100% reimbursement of health insurance premiums, paid time off, a 401(k) plan with company match, and additional benefits for a remote-first workforce.