Enterprise Client Partner, Frontier AI

Drive high-value partnerships with AI labs and advanced ML organizations to improve frontier model performance through human data pipelines, evaluation systems, and reinforcement learning environments. This role combines technical discovery with commercial deal execution, influencing product direction and delivery across research, engineering, and operations.

• Source and close partnerships with AI labs and ML-driven organizations working on frontier models.
• Lead technical discovery across evaluation workflows, RLHF pipelines, and model improvement loops.
• Engage directly with research leads, ML engineers, and data teams to surface system-level constraints and requirements.
• Translate ambiguous research and engineering needs into well-scoped human data and evaluation programs.
• Structure and negotiate complex, high-value agreements involving data generation, annotation, and evaluation at scale.
• Collaborate with product, research, and operations to ensure delivery meets technical expectations.
• Drive expansion by integrating deeper into evaluation pipelines and RL environments.
• Provide clear, actionable signals on pipeline quality, deal risk, and market dynamics.
• Feed customer insights back into evaluation frameworks, product direction, and go-to-market strategy.

• Proven ability to communicate fluently with ML engineers and research teams, able to hold technical conversations even if not an engineer.
• Experience selling into AI/ML, developer tools, or other deeply technical products.
• Strong track record of closing complex, multi-stakeholder deals with both technical and commercial depth.
• Familiarity with model evaluation, RLHF, or reinforcement learning environments.
• Structured, hypothesis-driven approach to sales and problem solving.
• High agency and comfort operating in ambiguous, fast-moving environments.

Preferred

• Experience with human data pipelines, including labeling, evaluation, synthetic data, or RLHF workflows.
• Exposure to frontier model development or benchmarking systems.
• Prior work with AI labs, research organizations, or advanced ML teams.
• Understanding of enterprise procurement processes for high-value technical agreements.
• Skills explicitly referenced in source material: Client Acquisition, Outbound Prospecting, Enterprise Partnerships, Enterprise AI.

• Employment type: Full-time.
• Location: Remote.
• Primary collaboration with research, engineering, procurement, and data teams at client organizations focused on frontier models.

• Target total compensation range: $220, 000 - $400, 000 yearly.
• National pay range for base salary: $140, 000 to $180, 000 USD.
• All employees are eligible for equity compensation.
• Employees may also receive performance-based bonuses, dependent on role and subject to company policies.
• Benefits include up to 100% reimbursement for health insurance premiums, paid time off, a 401(K) plan with company match, and other benefits designed for a remote-first workforce.

• Employment is open to candidates who can accept a full-time remote position and participate in the company stock and bonus programs as described.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.