Own the execution of customer data projects as a Technical Program Manager in a fast-paced AI development environment.
AI in the day-to-day
Labelbox is building critical infrastructure for AI models, focusing on data-centric approaches for AI development.
Joblaze summary
The Technical Program Manager at Labelbox is responsible for overseeing the daily execution of customer data projects, ensuring that throughput, delivery, and quality are maintained from start to finish. This role requires strong organizational skills and familiarity with operational tools like Airtable, as well as a solid understanding of project financials and metrics. Ideal candidates are experienced in managing complex projects and coordinating diverse teams, making this position suitable for those with a background in operations or program management. Labelbox operates in a fast-paced environment, emphasizing ownership and rapid execution, which aligns well with individuals who thrive u
Joblaze insights
Quick facts
From the original posting
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.
We're the only company offering three integrated solutions for frontier AI development:
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
What You'll Own
What We're Looking For
Nice to Have
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.
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.