Sieve
Business Development
San Francisco
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About the role
- You'll report directly to the CEO and work closely with our GMs and COO.
Responsibilities
- Build trusted relationships with researchers, data leaders, product teams, and executives at frontier AI labs and emerging model companies
- Develop clear opportunity theses that connect 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
- Own the strategy and execution for selective programs that generate inbound demand, including executive dinners, research events, conference presence, ecosystem partnerships, content, and other creative initiatives
- Build a strong view of the AI data market, including emerging customer needs, competitor activity, organizational changes at labs, and new categories Sieve should pursue
- Maintain a clear, lightweight system for tracking important relationships, active opportunities, and next steps
- As the first business development person, you'll build and deepen relationships across frontier AI labs, emerging model companies, and the broader data ecosystem.
Requirements
- Strong understanding of how foundation models are trained and improved, including the role of pretraining, post-training, evaluations, human data, multimodal data, and RL environments
- Ability to communicate fluently with researchers, founders, executives, operators, and commercial stakeholders
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 working 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
- Technical or research experience beyond the level required to sell or manage partnerships
Benefits
- 401(k) and full health insurance
Company info
- Sieve is a multi-modal lab curating the world's highest-quality training datasets - spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data.
- We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/.
- Sieve is one of the most capital-efficient teams in AI - roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.
- Sieve is a multi-modal lab curating the world's highest-quality training datasets - spanning video, audio, images, text, and 3D.
- We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models.
- Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics.
- Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data.
- We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people.
- We also raised our Series A from Tier 1 firms such as Matrix Partners https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/.
- Sieve is one of the most capital-efficient teams in AI - roughly 30 people serving the world's leading AI labs across every major data modality.
- You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.
- Sieve exists to solve the biggest bottleneck in the growth of these applications:
- high-quality training data.
- Identify and engage new labs while opening relationships with additional teams and buying centers inside existing customers
This listing is sourced directly from Sieve's careers page and normalized into a canonical job model.