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Role description

Vice President of Operations

Labelbox logoLabelbox
TypeContract
WorkplaceRemote
SeniorityDirector / Executive
Salary$354,800
LocationUnited States
Posted10/5/2026
Operations

VP, Operations

Company: Labelbox
Location: remote work
Employment Type: Full-time

Position Overview

Labelbox is seeking an experienced Vice President, Operations to lead operational strategy and execution across the company’s rapidly growing AI data and AI infrastructure business.

The VP of Operations will oversee business operations, customer delivery, operational planning, process optimization, and cross-functional execution. This executive will work closely with the CEO and leadership team to build scalable operating systems that support Labelbox’s continued growth across enterprise customers, AI labs, model evaluation, reinforcement learning, and AI agent development.

Key Responsibilities

  • Develop and execute Labelbox’s global operations strategy.
  • Lead business operations, customer delivery, program management, and operational planning.
  • Build scalable processes and operating systems to support rapid growth.
  • Partner closely with Sales, Product, Engineering, Finance, and Customer Success leadership.
  • Improve operational efficiency through automation, data analytics, and technology.
  • Establish operational KPIs, performance metrics, and reporting frameworks.
  • Oversee complex enterprise customer programs and ensure high-quality delivery.
  • Develop processes for scaling AI data, model evaluation, and expert-data operations.
  • Identify operational risks and implement effective mitigation strategies.
  • Drive cross-functional initiatives and organizational transformation.
  • Support strategic planning, resource allocation, forecasting, and capacity planning.
  • Build and lead high-performing operations and program management teams.
  • Establish best practices for operational excellence, quality, and customer satisfaction.
  • Provide strategic operational insights to the CEO and executive leadership team.
  • Support new product launches, market expansion, and major strategic initiatives.

Qualifications

  • 15+ years of experience in operations, business operations, technology, AI, data, SaaS, or related industries.
  • Previous experience as a VP Operations, SVP Operations, COO, Head of Operations, or equivalent senior leadership role.
  • Proven experience scaling operations within a high-growth technology company.
  • Experience working with enterprise customers and complex technology products.
  • Strong understanding of AI, data infrastructure, SaaS, machine learning, or enterprise technology environments.
  • Proven ability to build scalable operational processes and organizational systems.
  • Strong experience with business metrics, forecasting, resource planning, and operational analytics.
  • Demonstrated success leading cross-functional teams and complex strategic initiatives.
  • Experience managing large operational organizations and developing senior leaders.
  • Strong financial and commercial acumen.
  • Exceptional communication, leadership, organizational, and problem-solving skills.
  • Ability to operate effectively in a fast-paced, highly collaborative technology environment.

Ideal Candidate

The ideal candidate is a strategic and execution-focused operations executive with 15+ years of experience scaling high-growth technology companies.

The candidate should have a strong background in AI, data, SaaS, enterprise technology, or technology-enabled services, with demonstrated success building operational infrastructure for rapidly expanding organizations.

This leader should be highly analytical and comfortable using data, automation, and technology to improve operational efficiency while maintaining exceptional quality and customer experience.

The ideal candidate will be an outstanding team builder who can translate company strategy into scalable operating processes, align cross-functional teams, and create accountability across the organization.

Experience supporting AI labs, enterprise AI customers, machine learning operations, model evaluation, AI data programs, or complex technology services would be highly desirable.

Pay: From $354,800.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Employee assistance program
  • Employee discount
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Retirement plan
  • Tuition reimbursement

Work Location: Remote

Relevant archetypes

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Company info

Labelbox logo

Labelbox

The RL data engine for AI teams

Labelbox builds and operates reinforcement learning data factories for the world’s leading AI labs and enterprises, powering the next generation of frontier models and AI applications.

Private companySeries DIn the news
Founded2018
HQSan Francisco, United States
Size201-500 employees
Unlock human wisdom
ThesisTermsPrivacy
Industry
Software Development
Funding
  • Series D · $110M · Jan 6, 2022
Investors
SoftBank Vision Fund
Tech stackthree-js, google-cloud-dataflow, bootstrap, redis, amazon-sqs, resonate, envoy, bridge, jupyter, sentinelone
News
  • Wipro partners with Labelbox to scale AI agent adoption
  • Labelbox and Wipro Partner on AI Agents That Learn From Work
  • Labelbox partners with Wipro to scale adoption of AI agents that learn from enterprise experience
  • How Much Did Labelbox Raise? Funding & Key Investors

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