Compensation: $220,000–$400,000/yr
Location: Remote
Employment Type: Full-time
As an Enterprise Client Partner specializing in Frontier AI, you will play a pivotal role in shaping partnerships with leading AI labs and advanced enterprise teams. Your focus will be on enhancing model evaluation systems, reinforcement learning (RL) environments, and developing high-quality human data pipelines that significantly influence model performance.
Source and close partnerships with AI labs and ML-driven organizations focused 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 comprehend system-level constraints and requirements.
Translate ambiguous research and engineering needs into well-defined human data and evaluation programs.
Structure and negotiate complex, high-value agreements involving data generation, annotation, and evaluation at scale.
Collaborate 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 insights on pipeline quality, deal risk, and market dynamics.
Feed back customer insights into evaluation frameworks, product direction, and go-to-market strategy.
Fluent communication with ML engineers and research teams; you don't need to be an engineer but should be able to engage effectively.
Experience selling into AI/ML, developer tools, or deeply technical products.
Proven 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.
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.
All employees are eligible for equity compensation and may receive performance-based bonuses, subject to company policies.
