Hiring: Business Development Company: Sieve Location: San Francisco, CA Job Posted Time: 2026-09-02 17:57:30 Employment Type: Full-time Target Skills & Keywords: Business Development, Strategic Partnerships, Frontier AI Labs, AI Data Ecosystem, Foundation Models, Multimodal Data, Pretraining, Post-training, Evaluations, RL Environments, Human Data, Relationship Building, Inbound Demand Generation, Events & Conferences, Ecosystem Partnerships, Executive Engagement, Market Strategy Experience: - Experience in strategic business development, partnerships, investing, company-building, or another relationship-driven role in AI - Deep familiarity with the frontier AI lab and AI data ecosystem, with an existing network or demonstrated ability to build trusted relationships within it - Nice to have: Experience at a human-data, training-data, evaluation, or AI infrastructure company; direct 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; existing 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 other inbound-demand initiatives from scratch; technical or research experience beyond the level required to sell or manage partnerships Required Skills: - Build trusted relationships with researchers, data leaders, product teams, and executives at frontier AI labs and emerging model companies - Identify and engage new labs while opening relationships with additional teams and buying centers inside existing customers - Map organizations to understand who is working on which models, modalities, capabilities, and data problems - Stay close to changes in model training, post-training, evaluations, RL environments, and multimodal research - Develop clear opportunity theses connecting a lab's research priorities or model limitations to Sieve's data and infrastructure capabilities - Create and facilitate high-value conversations between external stakeholders and the appropriate Sieve GM - Prepare internal teams with stakeholder maps, research priorities, customer needs, relevant Sieve capabilities, and recommended next steps - Remain involved after initial introductions using relationships, follow-ups, references, events, and executive engagement - Work with the CEO, GMs, and COO to prioritize relationships and opportunities - Own strategy and execution for inbound demand programs including executive dinners, research events, conference presence, ecosystem partnerships, and content - Represent Sieve at industry events and in AI communities - Build a strong view of the AI data market, including emerging customer needs, competitor activity, and organizational changes at labs - Maintain a clear, lightweight system for tracking important relationships, active opportunities, and next steps - Strong understanding of how foundation models are trained and improved, including pretraining, post-training, evaluations, human data, multimodal data, and RL environments - Technical judgment to understand what makes data useful for training and to hold credible conversations with AI researchers and technical leaders - Exceptional relationship-building skills and judgment to know which people, organizations, and opportunities matter - Ability to communicate fluently with researchers, founders, executives, operators, and commercial stakeholders - High agency and comfort personally executing across relationship development, events, marketing, and other zero-to-one initiatives - Strong organizational judgment and ability to manage many long-term relationships Qualifications: - Deep familiarity with the frontier AI lab and AI data ecosystem - Experience in strategic business development, partnerships, investing, company-building, or another relationship-driven role in AI - Strong understanding of foundation model training and improvement - Technical judgment to hold credible conversations with AI researchers and technical leaders - Exceptional relationship-building skills - Ability to communicate fluently across technical and commercial stakeholders - High agency and comfort with zero-to-one execution - Strong organizational judgment - In-person at San Francisco HQ (5 days per week) Compensation: - Base pay range: $175,000.00/yr - $275,000.00/yr - Benefits: 401(k) and full health insurance; breakfast, lunch, and dinner covered, plus snacks; Ubers covered home Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!