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 LabelboxWe'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.
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.
- 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
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.
Skills Required
- 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
- Experience leading LLM or agent-based projects
- Experience with customer-facing consultative selling and influencing executive stakeholders
- Ability to translate customer business processes into technical solutions tied to business outcomes
- Exceptional communication skills for technical and business audiences
- Strong project management and organizational skills
- Passion for AI and the intersection of technology, product, and customer needs
Labelbox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Labelbox and has not been reviewed or approved by Labelbox.
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Fair & Transparent Compensation — Pay is considered generally competitive for core roles, and pay transparency is explicitly emphasized. Feedback suggests many full-time employees view their overall pay positively.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is highlighted alongside wellness resources and tax-advantaged accounts. These offerings indicate a strong baseline of health benefits.
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Leave & Time Off Breadth — Unlimited PTO, paid sick days, bereavement leave, and generous parental leave are emphasized. This breadth points to ample time-off support.
Labelbox Insights
What We Do
Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale. Customers include Fortune 500 enterprises and leading AI labs, and Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins.
Why Work With Us
Labelboxers are driven to master their craft and build the best products for AI, which is quickly becoming one of the most significant technologies of our time. Join us in supporting our customers as they create AI breakthroughs.
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