Technical Program Manager

Labelbox
San Francisco Bay AreaPosted 3 March 2026

Job Description

<div class="content-intro"><h2><strong>Shape the Future of AI</strong></h2> <p>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.</p> <h2><strong>About Labelbox</strong></h2> <p>We're the only company offering three integrated solutions for frontier AI development:</p> <ol> <li><strong>Enterprise Platform Tools</strong>: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</li> <li><strong>Frontier Data Labeling Service</strong>: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</li> <li><strong>Expert Marketplace</strong>: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</li> </ol> <h2><strong>Why Join Us</strong></h2> <ul> <li><strong>High-Impact Environment</strong>: 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.</li> <li><strong>Technical Excellence</strong>: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</li> <li><strong>Innovation at Speed</strong>: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</li> <li><strong>Continuous Growth</strong>: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.</li> <li><strong>Clear Ownership</strong>: 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.</li> </ul></div><h2><strong>Role Overview</strong></h2> <p>Join Labelbox as a Technical Program Manager, where you will lead high-impact initiatives at the intersection of data and AI. This is an opportunity to take charge of complex, high-stakes projects, bringing together talented project managers and engineers to deliver exceptional results for our GenAI lab partners.</p> <p>You will guide cross-functional teams in the execution of advanced data annotation projects that power next-generation AI solutions. With autonomy and authority, you’ll have the freedom to innovate and the responsibility to execute with precision, speed, and craftsmanship.</p> <p>We’re looking for a strategic thinker who thrives in fast-paced, high-pressure environments. If you’re someone who can confidently take ownership of challenges and deliver excellence, this is your chance to shine.</p> <h2><strong>Your Impact</strong></h2> <ul> <li><strong>Lead cross-functional AI initiatives</strong> – Manage and execute high-stakes AI data projects, ensuring technical and operational excellence.</li> <li><strong>Partner with AI Labs</strong> – Collaborate to define project requirements, success metrics, and quality measurement frameworks.</li> <li><strong>Translate strategy into execution</strong> – Break down abstract goals into clear action plans, leveraging existing tools and building new solutions as needed.</li> <li><strong>Unblock yourself and the team</strong> – Proactively identify and resolve dependencies, leveraging your technical expertise to keep projects moving.</li> <li><strong>Communicate with precision</strong> – Provide stakeholders and leadership with clear, actionable updates, ensuring alignment and proactive risk mitigation.</li> </ul> <h2><strong>What You Bring</strong></h2> <ul> <li>A bachelor’s degree, or higher, in computer science, engineering, or related STEM fields.Working proficiency in SQL and Python </li> <li>Familiarity with ... (truncated, view full listing at source)