Deployment Lead
Labelbox · San Francisco, CA · 3 wk ago
On-siteFinance$200k–$230k/yrFull-time
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.
Responsibilities
- 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.
Requirements
- 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.
Qualifications
- Nice to have: 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.
Pay
The expected annual base salary range for United States-based candidates is $200,000 - $230,000 USD.
Schedule
Our work style is a hybrid model with 3 days per week in office, combining collaboration and flexibility.