Product & Ops Lead

Reposted Yesterday
San Francisco, CA, USA
In-Office
Junior
Artificial Intelligence • Information Technology • Robotics • Software
The Role
As the first operations hire at Sieve, you will scale data operations, forge partnerships, and optimize human QA processes to support engineering and customers.
Summary Generated by Built In
About Us

Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data.

We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.

About the Role

As a Product & Ops Lead, you'll be the primary face of Sieve to our customers, top AI labs building frontier models. You'll combine deep technical fluency with strong relationship skills to manage our most important accounts, drive revenue expansion, and translate customer needs into internal priorities. This role sits at the intersection of product, applied research, and customer engagement, and requires someone equally comfortable in a technical deep-dive as they are shaping roadmap priorities or navigating a commercial conversation. Relationships are central to this role. The strongest candidates will already be plugged into the AI lab ecosystem and have trust built with the people and teams we work with.


What You'll Do

  • 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


Requirements

  • 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


Nice to Have

  • 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

Benefits

  • 401k + Full Health Insurance

  • Breakfast, Lunch, and Dinner covered and your choice of snacks

  • Ubers covered home

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The Company
HQ: San Francisco, CA
16 Employees
Year Founded: 2022

What We Do

Sieve is the only AI research lab exclusively focused on video data. Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in. We bring together exabyte-scale video infrastructure, novel video understanding techniques, and dozens of diverse data sources to create datasets that push the frontier of video modeling. This unique combination allows us to deliver data with unmatched precision, quality, and speed which has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups.

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