Enterprise Client Partner - AI

This position focuses on building high-value partnerships with leading AI labs and advanced enterprise teams engaged in developing frontier AI models. As an Enterprise Client Partner, you will play a crucial role in driving collaborations around model evaluation and human data solutions, ensuring that our initiatives directly enhance model performance.

• Source and close partnerships with AI labs and ML-driven organizations focused on frontier models.
• Lead technical discovery across evaluation workflows, reinforcement learning from human feedback (RLHF) pipelines, and model improvement loops.
• Engage directly with research leads, ML engineers, and data teams to understand 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.
• Work cross-functionally with product, research, and operations to ensure delivery aligns with technical expectations.
• Drive expansion through deeper integration into evaluation pipelines and RL environments.
• Provide clear insights on pipeline quality, deal risk, and market dynamics.
• Feed back insights from customers into evaluation frameworks, product direction, and go-to-market strategy.

• Ability to communicate fluently with ML engineers and research teams.
• Experience selling into AI/ML, developer tools, or deeply technical products.
• Strong track record of closing complex, multi-stakeholder deals with 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.

• Experience with human data pipelines (labeling, evaluation, synthetic data, RLHF).
• Exposure to frontier model development or benchmarking systems.
• Prior work with AI labs, research organizations, or advanced ML teams.
• Understanding of enterprise procurement in high-value technical deals.

Full-time, remote position.

Annual compensation ranges from $220,000 to $400,000.

Open to candidates with the required skills and experience in relevant fields.