Strategic Finance

sieve · Remote

Experience: lead

About Us Sieve is an AI research lab building the world's highest-quality multimodal datasets — spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure, novel multimodal understanding techniques, and dozens of proprietary data sources to develop datasets 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've partnered with the world's top AI labs and did $XXM last quarter alone, as a team of just ~25 people. We also raised our Series A from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Why Now Sieve is one of the most capital-efficient teams in AI — roughly 25 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. About the Role You’ll be Sieve’s first finance hire, owning the financial foundation for our next stage of growth. This role will own financial planning and reporting while developing a detailed understanding of Sieve’s unit economics. You’ll help make better decisions across customer deals, compute commitments, contributor payouts, hiring, and capital allocation. You’ll be equally comfortable building detailed models, working across messy operational datasets, and turning your analysis into clear recommendations. What You’ll Do Build and own Sieve’s financial model, forecasts, budgets, and runway planning Model the true cost and margin of customer deals across reinforcement learning, computer use, video, and other data types Partner with leadership on pricing, resource allocation, hiring plans, and other strategic decisions Work with leadership to build Sieve’s compute strategy,

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