Data Collection Partnerships Lead

present of AI; San Francisco (CA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Sieve is seeking a Senior Sales professional in San Francisco to build and run a network of outside companies gathering video, audio, and physical world data for AI training. You will evaluate partners, negotiate terms and scale operations while ensuring quality and timely delivery.

The role blends commercial dealmaking with hands-on follow-through across multiple partners and countries, leveraging data ops and reporting to optimize data collection for frontier models.

Qualifikationen

• Sourcing and negotiating with external data suppliers.
• Ability to run pilots and scale from pilot to production.
• Understanding unit economics and forecasting for data partnerships.

Aufgaben

• Build and manage a network of outside companies supplying video, audio, and physical world data.
• Negotiate terms, monitor pricing, capacity and quality across partners.
• Coordinate across partners and countries to ensure timely data delivery.

Kenntnisse

Supplier sourcing

Negotiation

Forecasting

Tools

SQL

Automation

Jobbeschreibung

Sales San Francisco FullTime Senior level

This role is about building and running a network of outside companies that gather video, audio and physical world data for AI training. A strong candidate has personally found, negotiated with and scaled suppliers or distributed operations teams, and can judge pricing, capacity and quality while fixing problems when targets slip. It blends commercial dealmaking with steady follow through across many partners and countries.

How it fits the AI era

The work sits at the supply end of AI: frontier models need real world data from people doing real tasks, and someone has to organize that collection reliably. AI tools may speed up reporting and forecasting, but judging whether a partner can truly deliver, negotiating terms and resolving operational failures stay human. The role grows more central as physical AI and robotics raise demand for this kind of data.

How it builds AI experience

A person here would learn how training data for multimodal and robotics models is sourced, qualified and scaled, including pilot design and quality checks. Building playbooks for pricing, partner qualification and capacity forecasting gives hands on exposure to data operations for frontier labs. Skills in SQL or automation would help turn that experience into better reporting and workflows.

Worth showing

• Supplier sourcing and negotiation
• Pilot to production scaling
• Unit economics and forecasting

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Sieve

Multimodal artificial intelligence data laboratory creating curated video, audio, and physical world training environments for frontier foundation models, per the company.