Business Development

Responsibilities

• Build trusted relationships with researchers, data leaders, product teams, and executives at frontier AI labs and emerging model companies.
• Identify and engage new labs and open relationships with additional teams and buying centers inside existing customers.
• Map relevant organizations, models, modalities, capabilities, and data problems.
• Track developments in model training, post-training, evaluations, reinforcement-learning environments, and multimodal research to identify emerging data needs.
• Develop opportunity theses connecting research priorities or model limitations to data and infrastructure capabilities.
• Facilitate high-value conversations between external stakeholders and internal general managers.
• Prepare internal teams with stakeholder maps, research priorities, customer needs, relevant capabilities, and recommended next steps.
• Remain involved after introductions through follow-ups, references, events, and executive engagement to help opportunities progress.
• Partner with the CEO, GMs, and COO to prioritize strategic relationships and opportunities.
• Own programs generating inbound demand, including executive dinners, research events, conferences, ecosystem partnerships, content, and other initiatives.
• Represent the company at industry events and in AI research, data, founder, and investor communities.
• Maintain a view of the AI data market, competitor activity, organizational changes, and emerging categories.
• Maintain a lightweight system for tracking relationships, opportunities, and next steps.

Requirements

• Deep familiarity with the frontier AI lab and AI data ecosystem, with an existing network or demonstrated ability to build trusted relationships.
• Experience in strategic business development, partnerships, investing, company-building, or another relationship-driven AI role.
• Strong understanding of foundation-model training and improvement, including pretraining, post-training, evaluations, human data, multimodal data, and reinforcement-learning environments.
• Technical judgment to understand what makes data useful for training and communicate credibly with AI researchers and technical leaders.
• Exceptional relationship-building skills and strong judgment about important people, organizations, and opportunities.
• Ability to communicate fluently with researchers, founders, executives, operators, and commercial stakeholders.
• High agency and comfort executing relationship development, events, marketing, and other zero-to-one initiatives.
• Strong organizational judgment and ability to manage many long-term relationships.
• Ability to work in person at the San Francisco headquarters five days per week.

Nice to Have

• Experience at a human-data, training-data, evaluation, or AI infrastructure company.
• Experience scoping or executing data engagements with frontier AI labs.
• Previous experience at a frontier lab, founding an AI company, or investing in the AI and data ecosystem.
• Relationships across research, data, post-training, evaluations, procurement, and executive teams at major AI labs.
• Experience with multimodal data, reinforcement-learning environments, human feedback, red teaming, or model evaluations.
• Experience building executive events, ecosystem programs, strategic content, or inbound-demand initiatives from scratch.
• Technical or research experience beyond the level required to sell or manage partnerships.

Benefits

• 401(k) and full health insurance.
• Breakfast, lunch, and dinner provided, plus snacks.
• Covered rides home.