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Labelbox

SaaS data labeling and management platform

Frontier Data Lead

Account ManagementConfirmed live in the last 24 hours
Full-timeCalifornia, USA$170k - $230k /yrIn-person

About the Job

Requirements

  • At least 3 years of experience in consulting, program management, account management, or client operations, ideally managing several client engagements simultaneously.
  • Excellent written communication and comfort serving as the primary delivery contact, including communicating difficult news with a proposed plan.
  • Strong organization and attention to detail across multiple accounts.
  • A consultative and curious approach, with a track record of expanding client relationships.
  • Ability to translate between technical and business audiences in both directions.
  • Experience working closely with an executive and making decisions with incomplete information.
  • Ability to work independently, identify issues before they escalate, and spot opportunities early.

Responsibilities

  • Serve as the proactive point of contact for every account so clients do not need to ask for status updates.
  • Send regular updates on progress, volumes, quality, blockers, and milestones.
  • Flag risks, delays, and scope changes early and propose a path forward.
  • Run client check-ins covering delivery and next steps, and capture decisions and action items.
  • Understand and maintain current knowledge of each partner's research goals, model roadmap, and data priorities.
  • Map and build relationships across each partner's organization beyond day-to-day contacts.
  • Identify expansion opportunities and work with the growth team to turn them into scoped proposals.
  • Own an account plan for each partner covering goals, stakeholders, current footprint, and next actions.
  • Lead quarterly business reviews centered on partner goals as well as delivery metrics.
  • Share partner needs and recurring data challenges with the research team to inform its agenda.
  • Present research insights and roadmap to partners in ways that connect to their goals.
  • Facilitate working sessions between partner teams and researchers where there is shared interest.
  • Maintain a current view of every account, program, and project, including status, owner, timeline, and open issues.
  • Track client requests and specification changes through resolution, and confirm project setup with engineers against agreed requirements.
  • Maintain and regularly audit the CRM, trackers, and account plans.
  • Prepare delivery-health and account-growth reporting for the Managing Director and leadership.
  • Build lightweight templates and ensure clean handoffs between sales, project setup, and delivery.
  • Within the first 90 days, establish a current inventory of every account with status, owner, and next milestone; standard update formats and cadence; audited, current systems and a maintenance routine; and account plans and stakeholder maps for each priority partner.
  • On an ongoing basis, ensure clients hear about delays, changes, and wins first; enable the Managing Director to see any account's status quickly; engage partners early in planning and expand engagement across their teams; bring partner insights into the research agenda and use research to open conversations; and develop qualified opportunities into new programs.

Desired Qualifications

  • Experience with AI training data, data labeling, or managed-services delivery.
  • Familiarity with how frontier AI labs and enterprise AI teams build and evaluate models.
  • Familiarity with Labelbox or similar platforms.
  • Comfort with light automation or no-code tools.

About the Company

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Labelbox

SaaS data labeling and management platform

Labelbox provides a data-centric platform to create and manage labeled training data for machine learning, offered as a SaaS with tiered subscriptions and professional services. The platform acts as a data factory with three core components: an enterprise software for data management and annotation, Alignerr for frontier labeling, and an expert marketplace, supporting annotation across images, video, and text with workflow automation and real-time collaboration. It enables model-assisted labeling and integrates with ML pipelines through an API-first approach, plus tools for model evaluation and creating datasets for fine-tuning. Its goal is to streamline the production of high-quality labeled data to speed AI development and improve model performance across industries, differentiating itself with end-to-end data labeling and management and an ecosystem of labeling services and experts.

Company size
201-500
Company stage
Series E
Total funding
$288.9M
Headquarters
San Francisco, CA
Founded
2018

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