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Forward Deployed Engineering Manager

Lead and grow the Forward Deployed Engineering team at Labelbox, focusing on technical quality and customer needs in AI development.

Location
San Francisco Bay Area
Compensation
$180k–$220k/yr
Level
lead
Type
full time · Hybrid

Posted by employer 4 months ago

First seen on Joblaze 4 months ago

Last verified on the company career page 18 hours ago

Role intensity

10% coding — mostly leadership/strategy

Not disclosed in this posting: years of experience, visa sponsorship.

Joblaze summary

The Forward Deployed Engineering Manager at Labelbox leads a team responsible for translating customer goals into actionable data strategies, ensuring high-quality outputs through effective task scoping and pipeline design. This role requires a strong technical background in data-centric AI work, as well as experience in managing and developing engineering talent. Ideal candidates will have a blend of hands-on technical expertise and people management skills, thriving in a fast-paced, startup-like environment that emphasizes ownership and rapid execution.

Joblaze insights

  • Listed about 4 months ago — first seen on Joblaze June 9, 2026. Last confirmed on Labelbox's careers page October 29, 2026.
  • Salary band is in line with the typical range for Management roles (median ~$170,000).
  • Starts above 22% of 90 comparable lead management roles in United States that list AI/ML we track (median $239,000 across 38 companies). See AI/ML salary trends
  • AI/ML appears in 25.8% of 608 comparable lead management roles in United States; Data Pipelines appears in 0.2% of 608 comparable lead management roles in United States.

Quick facts

Is the Forward Deployed Engineering Manager role remote?
It's hybrid — Labelbox expects some on-site time in San Francisco Bay Area.
What's the salary range?
Labelbox lists $180,000–$220,000 for this role.
Where is the role based?
Labelbox is hiring for this position in San Francisco Bay Area.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Data Pipelines, quality instrumentation.
What seniority level is this role?
Labelbox targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Engineering Manager role at Labelbox.

From the original posting

Shape the Future of AI

The role

The FDE Manager leads and grows the team of Forward Deployed Engineers who own the high-level technical side of our customer data programs. FDEs scope tasks, design the pipelines and measurement that turn a customer's goal into a training signal, write the instructions that guide Alignerrs, and work out what each customer actually needs from their data. The FDE Manager owns the people who do that work — their craft, their growth, and how they're deployed across domains and customers — and is accountable for the technical quality and consistency of what the team produces.

This role sits at the intersection of people leadership, technical depth, and delivery quality. The FDE Manager must understand the technical substance of our projects well enough to coach on scoping and pipeline design, pressure-test instructions, judge whether a project's data will genuinely move the customer's model, and raise the bar on measuring quality early rather than late. It's a player-coach role: you lead people, but you stay close enough to the work to set and defend the craft bar yourself.

The FDE Manager reports to the Services lead and partners closely with the SPL Manager, Deployment Leads, and General Managers. A core part of the role is keeping FDEs at the right altitude — focused on higher-level technical and customer-facing work — and actively handing the day-to-day running of projects to the SPLs and Pod Leads, so the team's most expensive technical talent is never absorbed into project operations.

The FDE Manager also owns FDE onboarding and is the steward of the FDE career path, which runs from FDE to FDE 2 to FDE Manager, with branches toward the Forward Deployed Researcher (FDR) track and, in time, toward General Manager.


What You'll Do

  • Lead the FDE team end-to-end: hire, coach, manage performance, and develop careers across the FDE track and toward FDR or GM.
  • Own the supply side of FDE staffing: commit FDEs to the staffing cadence and match them to projects by skill and development need, balancing each FDE's preferred vertical with where the work is, and staffing to the phase of a project rather than parking people for its full length.
  • Set and uphold the craft bar: sharp task scoping, sound pipeline and measurement design (including the LLM-as-judge and quality instrumentation that surface problems early), clear instruction writing, and compelling customer-facing presentation of findings.
  • Protect FDE focus: keep day-to-day project operations with the SPLs and Pod Leads, and keep FDEs on scoping, technical depth, and what the customer needs from the data.
  • Own FDE onboarding and the bar that certifies a new FDE as ready to be staffed: define which projects are eligible to onboard on, maintain the instruction and Loom repository, and run the onboarding program — including the core exercise (read a past project's instructions, explain them back, and write a new version in the repo).
  • Drive reuse and leverage: build the templates, tooling, and playbooks that stop FDEs rebuilding pipelines and instructions from scratch each project, so the team's capacity compounds as we scale.
  • Ensure FDEs work hand-in-glove with FDRs on research, efficacy, and customer needs, and partner with whoever owns quality sign-off so quality is caught in flight, not at delivery.
  • Partner with the SPL Manager, Deployment Leads, and GMs on staffing, delivery, and alignment with customer objectives.
  • Step in on escalations when a pipeline, delivery, or customer relationship is at risk.
  • Maintain a clear, live view of team capacity, utilization, and bench across active projects.

What You'll Own

  • The capability and craft bar of the FDE team.
  • How quickly and consistently new FDEs reach a staffable standard.
  • Healthy deployment — the right FDEs on the right projects, at the right altitude and utilization.
  • A growing bench of FDEs developing toward FDR and future leadership.

What We're Looking For

  • A strong forward-deployed / FDE background, or significant experience managing technical or delivery people — and readiness to be a hands-on, player-coach manager.
  • Strong technical fluency in our domain: enough depth in frontier-data work, RL environments, data pipelines, and quality/evaluation to coach credibly on scoping, pipelines, judge design, and data quality.
  • Excellent judgment on what makes data genuinely useful to a customer — how to translate ambiguous requirements into clear plans, and how to tell whether data will actually move a model.
  • A track record of developing people and giving direct, useful feedback.
  • A high bar for quality paired with the ability to deliver against ambitious timelines.
  • Comfort operating in ambiguous, fast-scaling environments where the processes are still being built.
  • The ability to manage multiple people and projects at once without losing attention to detail.

Nice to Have

  • Direct experience with RLHF, reinforcement-learning environments, evaluation/benchmark work, or LLM-as-judge systems.
  • Experience working with forward-deployed engineers, solutions engineers, or implementation teams.
  • Experience building onboarding programs, instruction systems, or training content.
  • Experience scaling a team and its operating processes in a high-growth environment.

What Success Looks Like

In your first several months, you'll take ownership of the FDE team, raise the bar on scoping, pipeline, and instruction quality, and get onboarding running smoothly — eligible projects defined, the instruction and Loom repository in good shape, and new FDEs reaching a staffable standard faster and more consistently. You'll build strong working relationships with the SPL Manager, Deployment Leads, and GMs, keep FDEs well-deployed and at the right altitude, and become the person the team relies on for craft and career growth.

Over time, you'll define how FDEs work at scale: the templates, tooling, and playbooks that let the team produce more without rebuilding from scratch, a measurement-and-quality craft bar that surfaces problems early, and a pipeline of FDEs growing into FDRs and future leaders.

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
$190,000—$250,000 USD

Life at Labelbox

Standard company text repeated across Labelbox's postings is omitted here.

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