Forward Deployed Engineer, Enterprise Accounts

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.

We're the only company offering three integrated solutions for frontier AI development:

1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
2. Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

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.

• 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

• 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.

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