Business Operations

Posted 7 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
150K-250K Annually
Mid level
Artificial Intelligence • Information Technology • Robotics • Software
The Role
Partner with the COO and executive team to turn strategic priorities into execution. Build operational functions, planning and reporting processes, and systems across finance, people, and GTM. Drive ambiguous cross-functional initiatives, manage the company operating cadence, establish goals and business reviews, identify operational gaps, and support company-wide hiring. The role requires technical fluency, strong business judgment, organizational ability, and high ownership in a rapidly scaling AI startup.
Summary Generated by Built In
About Us

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.

We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 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 30 people serving the world's leading AI labs across every major data modality. We're growing fast, and the systems, processes, and functions that got us here won't be the ones that get us to the next stage. You'll join at the point where you can have outsized leverage: close enough to leadership to shape decisions, hands-on enough to build the functions that don't exist yet.

About the Role

As part of our Business Operations team , you'll work directly with our executive team to translate strategic priorities into operational reality. This isn't a scheduling or note-taking role, you'll own ambiguous, cross-functional problems end-to-end, stand up new functions from scratch, and bring rigor to how the company operates as it scales.

What You'll Do
  • Work directly with leadership team to identify, prioritize, and drive the company's strategic initiatives

  • Build and own new operational functions as the company scales — from planning and reporting processes to systems for finance, people, and GTM operations that don't yet exist

  • Drive cross-functional projects from ambiguity to execution, working directly with engineering, GTM, and finance to unblock progress and hold owners accountable to deadlines

  • Help run the operating cadence of the company: goal-setting, weekly/monthly business reviews, and org-wide planning

  • Get into the technical details where needed — jumping in to support different verticals

  • Identify gaps in how the company operates before they become urgent, and build the lightweight systems and processes to close them

  • Support hiring across the company as we scale the team

Requirements
  • 2-5 years of experience in a high-ownership, cross-functional role; chief of staff, business operations, strategy & operations, management consulting, or founding a company

  • Experience at a hyper-growth startup, ideally one that scaled quickly and required building new functions and processes from scratch

  • Some technical fluency — comfortable having technical conversation, especially in the multi-modal data space, understanding basic infrastructure or model training concepts, or working directly with engineers, even if you're not an engineer yourself

  • Strong business operational instincts: comfort with financial models, dashboards, and translating ambiguous goals into concrete plans

  • High agency and a bias toward action. You should be comfortable picking up unfamiliar problems and driving them to resolution without much guidance

  • Strong organizational skills and the ability to manage multiple concurrent work-streams without dropping details

Nice to Have
  • Experience building out a specific function (finance, people ops, GTM ops)

  • A technical background (CS, engineering, or a related field) even if your career has moved into operations or strategy

Benefits
  • 401(k) and full health insurance

  • Breakfast, lunch, and dinner covered, plus your choice of snacks

  • Ubers covered home

*All roles at Sieve require you to be onsite in San Francisco 5 days per week

Skills Required

  • 2-5 years of experience in a high-ownership, cross-functional role, such as chief of staff, business operations, strategy and operations, management consulting, or founding a company
  • Experience at a hyper-growth startup that scaled quickly and required building new functions and processes from scratch
  • Technical fluency and comfort having technical conversations, especially regarding multimodal data, infrastructure, or model training
  • Comfort with financial models and dashboards, and ability to translate ambiguous goals into concrete plans
  • High agency and bias toward action, with ability to independently drive unfamiliar problems to resolution
  • Strong organizational skills and ability to manage multiple concurrent workstreams without dropping details
  • Experience building a specific function such as finance, people operations, or GTM operations
  • Technical background in computer science, engineering, or a related field
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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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