Forward Deployed Engineer, Enterprise Accounts
Labelbox is hiring a Forward Deployed Engineer, Enterprise Accounts. It pays $190k-$230k a year and Level rates it ; you can apply on Labelbox.
Level's read on this job
- On Level's scale, this forward deployed engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts 8% above the typical forward deployed engineer posting on Level.
- Tools and skills the posting cites include Databricks, AI agents and AI data labeling.
- Level lists 9 other open roles at Labelbox.
- The role was posted in the last few days.
AI in this role
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.
Forward Deployed Engineers are Labelbox’s technical and commercial front line inside our largest enterprise customers. You work directly with business and technical leaders to understand how their business actually runs: the processes, use cases, and workflows where AI can change outcomes. Then you design and build the solution, using the Labelbox data annotation platform and the Recursion Managed Agent platform, with a focus on agentic workflows that put AI agents and humans in the loop to run real operations.
Your success is measured by business results: new enterprise growth, and retention and expansion within existing accounts. This role blends engineering, product, and sales. You need the technical depth to build credible solutions and the salesmanship to earn trust, shape the vision, and win the deal. Identifying and solving the problem is half the job. Persuading a customer to commit to the solution is the other half.
Your day to day- Work side by side with customers to identify and map their business processes, use cases, and workflows, and define the measurable outcomes they want to achieve
- Propose, demonstrate, and develop solutions built on Labelbox’s products and services, especially the data annotation platform and Recursion Managed Agent, designing agentic workflows that automate and augment core enterprise processes
- Sell the vision: present compelling solution proposals, run technical demos and proofs of concept, and build the business case for executive sponsors and buying committees
- Partner with Account Executives to win new enterprise business, identify expansion opportunities, and accurately forecast renewals
- Build trusted advisor relationships with customer stakeholders and executive sponsors, and tie every engagement to business value and ROI
- Drive retention and expansion by ensuring customers realize value from deployed solutions and by spotting the next workflow to take on
- Guide customers through architecture and integration design across SaaS, API, SSO, and security requirements
- Manage onboarding, implementation, and ongoing delivery for highly technical customers
- Stay current on the evolving ML and agent development lifecycle, including LLMs, agent architectures, and the role of training and evaluation data
- Partner with product, engineering, support, and sales to translate customer needs into new solutions, and advocate internally for customer requirements and feature requests
- Turn successful deployments into customer references and case studies that fuel further enterprise growth
- Master’s degree or higher in Computer Science, Engineering, Mathematics, or an AI-related field
- 3+ years of professional experience in a related field
- Proficiency in Python and data analysis
- Prior experience leading LLM or agent-based projects
- Strong commercial instincts: comfortable in customer-facing, consultative selling, with a track record of persuading and influencing stakeholders, including executives
- Ability to understand a customer’s business processes and translate them into a concrete technical solution tied to business outcomes
- Exceptional communication skills, with the ability to explain complex technical concepts clearly to both technical and business audiences
- Strong project management and organizational skills
- Passion for AI and for the intersection of technology, product, and customer needs
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—$230,000 USDLife at Labelbox
- 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.
How we rate this
Forward Deployed Engineer, Enterprise Accounts at Labelbox rates 77 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in forward deployed engineer jobs at this level
Pay
- This job starts at
- $190k
- Typical forward deployed engineer job
- $176k
This posting starts 8% above the typical forward deployed engineer job. See forward deployed engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you keep labeling instructions consistent across a large annotation team?
- What are the limits of Databricks that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Data Labeling, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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