Strategic Project Lead

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 Strategic Project Lead owns the day-to-day execution of our customer data projects. The SPL 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 an SPL. SPLs 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 SPL 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 SPL 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 SPL's ability to deliver on complex projects. The SPL reports to the SPL 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 SPLs across its projects). It's a senior operating track: SPLs can grow into SPL Manager (managing other SPLs) 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 SPL 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 SPLs, and build toward SPL 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 hub in San Francisco
• Work Style: Hybrid model with 3 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.