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Enterprise Client Partner for Frontier AI

Remote Full-time Remote

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# Enterprise Client Partner for Frontier AI

**Compensation:** $220,000–$400,000/yr

**Location:** Remote

**Employment Type:** Full-time

## About This Role

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.

## Key Responsibilities

- 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.

## Qualifications

- 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.

## Preferred Qualifications

- 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.

## Benefits

All employees are eligible for equity compensation and may receive performance-based bonuses, subject to company policies.

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