Labelbox
DeploymentLead
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“Deployment Lead at Labelbox. Skills: Deployment delivery, Customer programs, Margin management. Own end-to-end deployment of projects. Own economics of deployments”
What You'll Achieve.
Successful delivery of complex customer programs; Meet throughput commitments; Meet quality commitments; Meet delivery commitments; Meet margin commitments; Protect margin; Hold quality and margin; Bring visibility to delivery risk; Bring visibility to margin
Industry & Context.
Pressure-test implementation plans; Communicate tradeoffs clearly; Protect margin; Identify risks early; Establish mitigation plans; Unblock execution
What They're Looking For.
Must Have
5+ years experience deploying technical products, Experience managing strategic accounts, Experience building repeatable operating systems
Nice to Have
Familiarity with AI, Familiarity with machine learning, Familiarity with data pipelines, Familiarity with RL/evaluation work, Experience working directly with forward-deployed engineers, Experience working directly with solutions engineers, Experience working directly with implementation teams
What You'll Do.
Own end-to-end deployment of projects
Own economics of deployments
Instrument margin live
Manage cost-to-revenue picture
Serve as customer's primary point of contact
Develop understanding of customer's technical requirements
Translate customer requirements into project plans
Ensure projects move through gates
Validate implementation plans
Ensure technical decisions support goals
Coordinate TPMs and FDEs
Maintain clear view of progress
Maintain staffing view
Maintain cross-project dependencies
Communicate technical tradeoffs
Communicate economic tradeoffs
Communicate implementation risks
Establish mitigation plans
Escalate when risks are present
Partner to unblock execution
Establish operating cadence
Establish escalation paths
Improve deployment playbooks
How You'll Work.
Team & Collaboration
Internal workstreams; Customer stakeholders; Internal teams; FDEs; FDRs; Talent/Crowd team; Platform teams; GM
Communication Scope
Communicate tradeoffs; Communicate risks
Process & Methodology
Project plans, Milestones, Success metrics
Full Job Description
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: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models 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 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.
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