Technical Program Manager

Posted Yesterday
Be an Early Applicant
7 Locations
In-Office or Remote
140K-170K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning
Our mission is to build the best products to align with artificial intelligence.
The Role
Own day-to-day execution of customer data projects: set up projects, onboard and orchestrate data trainers via Pod Leads, run calibration and staged ramps, track fulfillment and project margin, operate billing/AR, keep Airtable current, coordinate FDEs/FDRs, identify and mitigate delivery risks, and ensure on-time, quality delivery.
Summary Generated by Built In
Shape the Future of AI

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

About Labelbox

We're the only company offering three integrated solutions for frontier AI development:

  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
  • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Role Overview

About the Role

The Technical Program Manager owns the day-to-day execution of our customer data projects. The TPM runs the project on the ground — keeping throughput, delivery, and quality on track from kickoff through steady-state to final delivery. As a rule, any project with a significant number of data trainers on it needs a TPM.

TPMs own the operational core of a project: setting it up, bringing data trainers on, running it through its gates (calibration before scaling, staged ramp, delivery acceptance), tracking fulfillment and project margin, operating payment tiers, and keeping Airtable current as the system of record. By owning the running of the project, the TPM frees the Forward Deployed Engineer (FDE) to focus on higher-level technical and customer-facing work, and protects the Forward Deployed Researcher's (FDR) research time.

The TPM sits at the intersection of operations, finance, and people coordination. They aren't bound to a single domain — they work across whatever projects need them. A key part of the role is keeping the FDE and FDR connected as a project kicks off, and orchestrating the data-trainer workforce through Pod Leads, who are central to the TPM's ability to deliver on complex projects.

The TPM reports to the TPM Manager for craft and career, and on the ground takes delivery direction from the Deployment Lead on accounts that have one (the Deployment Lead owns the customer's delivery end-to-end and coordinates TPMs across its projects). It's a senior operating track: TPMs can grow into TPM Manager (managing other TPMs) or Deployment Lead (the customer-facing path), and from there toward a General Manager role.

What You'll Do

  • Run assigned projects day-to-day, owning throughput, delivery, and operational quality from kickoff through delivery; a TPM is staffed on any project with a meaningful number of data trainers.
  • Run each project through its gates: calibrate before scaling, ramp in stages while quality holds, and meet acceptance criteria at delivery — so quality is enforced in flight, not discovered at the end.
  • Set up projects and bring data trainers on using the platform tooling, configuring the right setup for different project types.
  • Keep Airtable accurate as the system of record — tasks and status always current — owning tracking across internal projects (fulfillment, data-trainer tracking, sheets) and external projects (glide-path templates and margin tracking).
  • Own project-level financials: track margin and fulfillment live, operate payment tiers, handle project billing/AR, and resolve data-trainer payment issues — flagging margin risk early and escalating margin-protecting changes to the comp structure to the Deployment Lead, who owns account-level margin.
  • Keep the FDE and FDR connected as the project kicks off, so technical scoping and research inputs land in the work.
  • Orchestrate the data-trainer workforce through Pod Leads — keeping trainers productive, paid, and organized, and using Pod-Lead first-line review as early quality signal — rather than managing hundreds of trainers directly.
  • Identify delivery risks early, put mitigations in place, and escalate when throughput, quality, or timelines are at risk.
  • Work flexibly across projects and domains as priorities shift.

What You'll Own

  • Your projects delivered to plan — on time, to the quality bar, and at healthy project margin.
  • Throughput and fulfillment against commitments.
  • A clean system of record (Airtable always current) and a live view of project margin.
  • Productive, well-run data-trainer teams via your Pod Leads.

What We're Looking For

  • Experience running operational projects or programs with many moving parts and people.
  • Strong organizational and tracking discipline — comfortable owning dashboards, sheets, and a system of record such as Airtable.
  • Operational and financial literacy: ease with throughput metrics, margin, and billing/AR.
  • Ability to coordinate and orchestrate multiple stakeholders — engineers, researchers, and a contingent workforce through its leads — and keep them aligned.
  • A bias toward action, calm under pressure, and a habit of catching problems before they become delivery issues.
  • Comfort operating in ambiguous, fast-scaling environments where processes are still being built.
  • The ability to manage multiple projects simultaneously without losing attention to detail.

Nice to Have

  • Familiarity with AI, machine learning, data pipelines, RLHF, or data-labeling/annotation operations.
  • Experience managing contractor or contingent workforces.
  • Experience with Airtable or similar operational tooling.
  • Experience owning billing, margin, or financial tracking for projects.

What Success Looks Like

In your first several months, you'll take ownership of a set of projects, get fluent in the platform tooling, and keep Airtable accurate and up to date. You'll hit throughput, quality, and delivery targets, run your projects cleanly through calibration and ramp without quality surprises, build strong working relationships with the FDEs, FDRs, Pod Leads, and Deployment Leads you work alongside, and become the reliable owner of project operations — the person who keeps the FDE–FDR partnership connected and the data trainers productive.

Over time, you'll take on larger and more complex projects, mentor newer TPMs, and build toward TPM Manager or Deployment Lead — and, in time, a path toward General Manager.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range
$140,000$170,000 USD
Life at Labelbox
  • Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
  • Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
  • Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
  • Growth: Career advancement opportunities directly tied to your impact
  • Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

Skills Required

  • Experience running operational projects or programs with many moving parts and people.
  • Strong organizational and tracking discipline; comfortable owning dashboards, sheets, and a system of record such as Airtable.
  • Operational and financial literacy: understanding throughput metrics, margin, and billing/AR.
  • Ability to coordinate multiple stakeholders (engineers, researchers, contingent workforce leads) and keep them aligned.
  • Bias toward action, calm under pressure, and habit of catching problems early.
  • Comfort operating in ambiguous, fast-scaling environments where processes are still being built.
  • Ability to manage multiple projects simultaneously without losing attention to detail.
  • Familiarity with AI, machine learning, data pipelines, RLHF, or data-labeling/annotation operations.
  • Experience managing contractor or contingent workforces.
  • Experience with Airtable or similar operational tooling.
  • Experience owning billing, margin, or financial tracking for projects.

Labelbox Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Labelbox and has not been reviewed or approved by Labelbox.

  • Fair & Transparent Compensation Pay is considered generally competitive for core roles, and pay transparency is explicitly emphasized. Feedback suggests many full-time employees view their overall pay positively.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is highlighted alongside wellness resources and tax-advantaged accounts. These offerings indicate a strong baseline of health benefits.
  • Leave & Time Off Breadth Unlimited PTO, paid sick days, bereavement leave, and generous parental leave are emphasized. This breadth points to ample time-off support.

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The Company
HQ: San Francisco, CA
115 Employees
Year Founded: 2017

What We Do

Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale. Customers include Fortune 500 enterprises and leading AI labs, and Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins.

Why Work With Us

Labelboxers are driven to master their craft and build the best products for AI, which is quickly becoming one of the most significant technologies of our time. Join us in supporting our customers as they create AI breakthroughs.

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