Deployment Lead
$200k - $230kLabelbox
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:
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 $200,000-$230,000 USD Life at Labelbox
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
- 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.
- Own the end-to-end deployment of projects for one or more major customers, from initial scoping and technical design through launch and ongoing execution - accountable for throughput, quality, delivery, and margin.
- Own the economics of your deployments: instrument margin live, manage the cost-to-revenue picture across the account's projects, and make the in-flight calls (comp structure, staffing, project structure) that protect it, the level where TPMs escalate margin-structure decisions.
- Serve as the customer's primary point of contact for delivery - timelines, technical requirements, risks, and operational performance.
- Develop a detailed understanding of each customer's technical requirements: system constraints, integrations, data flows, workflows, and acceptance criteria.
- Translate customer requirements into clear project plans, milestones, owners, success metrics, and a margin model.
- Ensure the account's projects move through their gates - calibration before scaling, staged ramp, delivery acceptance - so quality and margin hold across the portfolio.
- Work closely with FDEs, TPMs, and FDRs to validate implementation plans, manage dependencies, and ensure technical decisions support the customer's goals and the deployment's economics.
- Coordinate TPMs and FDEs across multiple concurrent projects, maintaining a clear view of progress, staffing, risk, margin, and cross-project dependencies - and ensure projects are staffed from the pools and the data-trainer workforce is sized and productive via TPMs and Pod Leads.
- Communicate technical and economic tradeoffs and implementation risks clearly to customer stakeholders and internal teams.
- Identify risks early, establish mitigation plans, and escalate when timelines, technical feasibility, quality, or margin are at risk.
- Partner with FDEs, FDRs, the Talent/Crowd team, the GM, and platform teams to unblock execution.
- Establish the operating cadence, dashboards, and escalation paths that create visibility and accountability - and improve deployment playbooks as the organization scales.
- Delivery of your customer's portfolio - on time, to the quality bar, and at or above target margin.
- The deployment's economics: live margin, the cost-to-revenue picture, and the in-flight decisions that protect it.
- The customer's trust on delivery and operational performance.
- A clear operating cadence and a live view of progress, staffing, risk, and margin across projects.
- Significant experience owning complex, cross-functional programs in a customer-facing environment - as an operator who has run things, not advised on them.
- Financial and commercial numeracy: comfort owning margin, building and reading the unit economics of a program, and making the call to protect it.
- Strong technical fluency and the ability to quickly understand complex systems, workflows, and implementation requirements.
- Ability to communicate credibly with technical customer stakeholders while translating technical detail into clear decisions for non-technical audiences.
- A track record of partnering effectively with engineers, program managers, and cross-functional operators.
- Excellent judgment: you can distinguish technical issues from execution issues from customer-management issues, and find the right path to resolution.
- A strong track record of delivering against ambitious timelines while holding a high bar for quality.
- Comfort operating in ambiguous environments where requirements evolve and processes are still being built.
- Strong operational instincts, a bias toward action, and attention to detail across multiple projects at once.
- Background in consulting, banking, private equity/VC, or an operating role where you owned a P&L or a hard number.
- Experience deploying technical products, services, or data-intensive programs.
- Familiarity with AI, machine learning, data pipelines, or RL/evaluation work.
- Experience working directly with forward-deployed engineers, solutions engineers, or implementation teams.
- Experience managing strategic accounts with multiple parallel workstreams.
- Experience building repeatable operating systems for a rapidly scaling organization.
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 $200,000-$230,000 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
Vacancy posted 4 days ago
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