Field Operations & Business Development Lead (Multimodal AI Data Collection)
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Job Description
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Sieve is a multimodal lab curating the world’s highest-quality training datasets, spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure with novel multimodal understanding techniques to push the frontier of foundation models. We exist to solve one of the biggest bottlenecks in AI: high-quality training data.
Why Now
Physical AI needs footage of real people doing real work across a wide range of environments. Expanding that collection means building relationships with businesses, getting access to their spaces, and making deployments work on the ground. We’re looking for someone who can help build that capability in their country.
About the Role
You’ll help secure access to environments where Sieve can deploy hardware to collect footage, then work alongside our team to get those sites up and running. You’ll combine local business development with hands-on field operations, taking opportunities from an introduction or a walk-in conversation through to a successful deployment.
You might start with your own connections, ask for introductions, or go door to door to meet business owners. We’ll support you with hardware, training, and help moving partnerships forward. You’ll build the local playbook and serve as the main link between partners in your country and our U.S. team.
What You’ll Do
Find the right environments: Identify businesses, facilities, and workplaces that fit our collection needs, and reach the people who can approve access.
Build relationships locally: Use your network, referrals, cold outreach, and door-to-door visits to meet owners and operators, explain what we’re doing, and earn their trust.
Help run partnership sales cycles: Qualify opportunities, arrange site visits, address questions, follow up, and work with the U.S. team on terms and agreements that turn interest into confirmed access.
Support deployments on the ground: Coordinate site schedules, hardware delivery and setup, operator onboarding, and day-to-day troubleshooting with support from our team.
Keep collection running: Stay close to partners after launch, resolve practical issues, and coordinate required site permissions and participant consents with our team before recording begins.
Build the country playbook: Document which environments and outreach approaches work, common objections, deployment steps, and lessons that make the next site easier to launch.
Lead local coordination: Keep the U.S. team informed on the pipeline, site readiness, deployment progress, and blockers. Turn collection requirements into clear local plans and bring field feedback back to the team.
What Success Looks Like
- Growing pipeline of suitable environments and responsive local partners.
- Partnerships that turn into active sites producing usable footage.
- Deployments that run reliably, with issues surfaced and resolved quickly.
- A practical country playbook and clear coordination with the U.S. team.
Requirements
- Existing relationships with business owners, industry groups, or local operators.
- Experience winning business or partnerships, running field operations, or building something locally from scratch.
- Comfortable approaching business owners directly, visiting sites, handling objections, and following through.
- Resourceful and proactive: you can find a way to reach the right person and keep work moving without a detailed playbook.
- Organized enough to manage outreach, partner relationships, and deployment details simultaneously.
- Clear communication in English and the language or languages needed to work with local partners.
- Willingness to spend substantial time in the field and travel within the country as needed.
Nice to Have
- Experience with hardware deployments, logistics, data collection, or marketplace operations.
- Experience coordinating with an international team across time zones.
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Sieve
View Company ProfileSieve (operating at sieve.ai) is a video data research lab powering the next generation of AI — sourcing, filtering, and delivering hundreds of petabytes of high-quality video data. Founded in 2022 by Mokshith Voodarla and Abhinav Ayalur and headquartered in San Francisco, Sieve builds the data and environments frontier AI labs use to train the next generation of multimodal systems. Under the hood, Sieve captures and aggregates multimodal data across real-world, digital, and other environments. This allows AI labs to develop more sophisticated AI systems. Backed by $15.5M in funding.
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