Sieve

Sieve

Business Operations

San Francisco · Mid

Sponsorship not specifiedDetected 39 days ago
SwiftFinancial ModelingCadenceAR/VRLeadershipCommunicationOrganizational Skills

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odds of building a lasting career here

34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.

Responsibilities

  • 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
  • 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
  • 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.

Requirements

  • 2-5 years of experience in a high-ownership, cross-functional role
  • Experience at a hyper-growth startup, ideally one that scaled quickly and required building new functions and processes from scratch

Nice to have

  • 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

Company info

  • 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.
  • 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.
  • goal-setting, weekly/monthly business reviews, and org-wide planning
  • 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
  • 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
  • Experience building out a specific function (finance, people ops, GTM ops)
  • 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
  • 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.
  • 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.
  • Sieve exists to solve the biggest bottleneck in the growth of these applications:
  • high-quality training data.

This listing is sourced directly from Sieve's careers page and normalized into a canonical job model.