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Labelbox

SaaS data labeling and management platform

Forward Deployed Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCalifornia, USA$190k - $250k /yrIn-person

About the Job

Requirements

  • A strong forward-deployed or FDE background, or significant experience managing technical or delivery people, and readiness to serve as a hands-on player-coach manager.
  • Strong technical fluency in frontier-data work, reinforcement-learning environments, data pipelines, and quality and evaluation, with enough depth to coach on scoping, pipelines, judge design, and data quality.
  • Judgment in assessing what makes data useful to customers, translating ambiguous requirements into clear plans, and evaluating whether data will improve a model.
  • A track record of developing people and providing direct, useful feedback.
  • A high quality bar and ability to deliver against ambitious timelines.
  • Comfort working in ambiguous, fast-scaling environments where processes are still being built.
  • Ability to manage multiple people and projects while maintaining attention to detail.

Responsibilities

  • Lead the FDE team end-to-end by hiring, coaching, managing performance, and developing careers across the FDE track and toward FDR or GM.
  • Own FDE staffing by committing FDEs to the staffing cadence and matching them to projects based on skill, development needs, preferred vertical, project phase, and workload.
  • Set and uphold standards for task scoping, pipeline and measurement design, LLM-as-judge and quality instrumentation, instruction writing, and customer-facing presentation of findings.
  • Keep day-to-day project operations with SPLs and Pod Leads so FDEs can focus on scoping, technical depth, and customer data needs.
  • Own FDE onboarding and readiness standards, define eligible onboarding projects, maintain the instruction and Loom repository, and run the onboarding program and core exercise.
  • Build reusable templates, tooling, and playbooks to reduce rebuilding pipelines and instructions for each project.
  • Ensure FDEs work closely with FDRs on research, efficacy, and customer needs, and partner with quality sign-off owners to catch issues during delivery.
  • Partner with the SPL Manager, Deployment Leads, and GMs on staffing, delivery, and alignment with customer objectives.
  • Step in on escalations when a pipeline, delivery, or customer relationship is at risk.
  • Maintain a live view of team capacity, utilization, and bench across active projects.
  • Own the FDE team's capability and craft standards, onboarding speed and consistency, healthy deployment, utilization, and development toward FDR and future leadership.

Desired Qualifications

  • Direct experience with RLHF, reinforcement-learning environments, evaluation or benchmark work, or LLM-as-judge systems.
  • Experience working with forward-deployed engineers, solutions engineers, or implementation teams.
  • Experience building onboarding programs, instruction systems, or training content.
  • Experience scaling a team and its operating processes in a high-growth environment.

About the Company

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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