Research & Product Lead

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.

• Own and grow relationships with Sieve's top AI lab customers end-to-end, from onboarding through expansion

• Serve as the technical point of contact, understanding customer data pipelines, model training workflows, and how Sieve's datasets fit into their stack

• Translate customer feedback and requirements into clear internal briefs for engineering and data ops

• Drive renewals and upsells by identifying new dataset needs and partnership opportunities within existing accounts

• Collaborate closely with the partnerships, engineering, and data ops teams to ensure customer deliverables are met on time and at quality

• Contribute to sales processes for new customers including demos, technical scoping, and proposal development

• Strong understanding of ML/AI workflows, particularly around data pipelines and model training

• A natural relationship builder with a strong external network, especially across AI labs and frontier model companies

• Excellent communication skills, able to translate between engineering and business audiences fluently

• Comfortable with ambiguity and moving fast in a startup environment

• In-person at our SF HQ

• Existing relationships at AI labs or frontier model companies

• Background in video, media, or content-related technologies

• Prior startup experience, especially as an early hire

• Experience in product, technical operations, or a customer-facing technical role