Lead the successful delivery of complex customer programs in a high-impact AI environment at Labelbox.
Skills & Technologies
AI in the day-to-day
Labelbox builds critical infrastructure for AI models, focusing on data-centric approaches essential for AI development.
Joblaze summary
The Deployment Lead at Labelbox is responsible for managing the end-to-end delivery of complex customer projects, ensuring they meet quality and margin targets. This role requires a strong technical background and financial acumen to navigate the economics of deployments while coordinating multiple internal teams. Ideal candidates are seasoned professionals with experience in customer-facing roles, capable of translating technical requirements into actionable plans. Labelbox offers a dynamic environment that emphasizes rapid execution and ownership, making it suitable for those who thrive in fast-paced settings.
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:
Get an inside look and hear directly from our current Forward Deployed Engineers here!
About the Role
The Deployment Lead owns the successful delivery of complex customer programs from initial scoping through steady-state execution — on time, to the quality bar, and at margin. This is a senior, customer-facing role for operators who can translate a customer's technical and business requirements into clear execution plans, coordinate multiple internal workstreams, own the economics of the deployment, and ensure projects meet their throughput, quality, delivery, and margin commitments.
Deployment Leads sit at the intersection of customer relationship management, technical program management, and operational and financial execution. They must understand the underlying technical requirements of each program well enough to pressure-test implementation plans and communicate tradeoffs clearly with the customer — and own the unit economics well enough to protect margin while they do it.
The Deployment Lead is the operations-and-margin leg of the customer team: they own delivery and the deployment's economics, partnering with the General Manager, who owns the broader customer relationship and growth. They are the primary point of accountability for the delivery of a major customer or portfolio of projects, and the customer's point of contact when timelines, requirements, or operational performance are in play. They coordinate Technical Program Managers and Forward Deployed Engineers across the account, ensuring each workstream is staffed from the pools, technically sound, and aligned with the broader customer objective.
This role is equivalent in seniority to a TPM Manager, but with a stronger emphasis on customer ownership, deployment success, and margin. It is a senior destination on the TPM track and a pathway toward a General Manager role. General Managers own the broader account end-to-end, including the overall customer and researcher relationships, proposal development, account strategy, operating cadence, and the portfolio of deployments delivered for that customer.
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 major customer deployment, develop a strong understanding of its technical and operational requirements, stand up a clear operating cadence, and bring real visibility to delivery risk and margin. You'll build strong working relationships with the TPM, FDE, and FDR teams and the GM, keep the technical and operational workstreams coordinated, hold your projects to their gates, and become the customer's trusted point of contact when implementation decisions, timelines, or margins are at risk.
Over time, you'll help define how the organization deploys complex technical programs at scale.
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.