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.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $140,000 –$180,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.