Enterprise Client Partner (Frontier AI)

Job Title: Enterprise Client Partner (Frontier AI)

Job Type: Full-time

Location: Remote

The Role

We work with leading AI labs and advanced enterprise teams building frontier models. Our focus is on evaluation systems, reinforcement learning (RL) environments, and high-quality human data pipelines that directly impact model performance.

We’re hiring an Enterprise Client Partner to engage deeply with research, engineering, and procurement stakeholders, and to drive high-value partnerships around model evaluation and human data solutions.

What You’ll Do

• 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 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 signal on pipeline quality, deal risk, and market dynamics.
• Feed back insights from customers into evaluation frameworks, product direction, and go-to-market strategy.

What We're Looking For

• Ability to communicate fluently with ML engineers and research teams (you don’t need to be one, but you can hold your own).
• Experience selling into AI/ML, developer tools, or deeply technical products.
• Strong track record 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.

Preferred

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