Join Labelbox as an Associate Forward Deployed Engineer to help enterprise customers build and operationalize cutting-edge AI technology.
Skills & Technologies
AI in the day-to-day
Help organizations build cutting-edge AI applications by staying current with the emerging state of the ML dev lifecycle.
Requirements
- Experience
- 2+ years
- Education
- Master's degree
Joblaze summary
In the role of Associate Forward Deployed Engineer at Labelbox, the individual will engage directly with enterprise clients to implement and optimize AI technologies, acting as a technical advisor throughout the process. Key skills include proficiency in Python, data analysis, and experience with large language models, alongside strong communication and project management abilities. This position is ideal for someone with a master's degree and a couple of years of relevant experience, particularly those passionate about the intersection of AI and customer needs. Labelbox operates in a fast-paced, startup-like environment that emphasizes ownership and rapid execution.
Joblaze insights
- Listed today on Joblaze — tracked directly from Labelbox's career page.
- Labelbox has 13 other open roles including General Manager, Frontier Data , Deployment Lead, Staff Software Engineer, AI Data Platform.
- 2514 active Python roles on Joblaze right now.
- 1736 active AI/ML roles on Joblaze right now.
- 261 active Machine Learning roles on Joblaze right now.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
Quick facts
- Is the Associate Forward Deployed Engineer, Enterprise Accounts role remote?
- It's hybrid — Labelbox expects some on-site time in San Francisco, United States.
- What's the salary range?
- Labelbox lists $120,000–$160,000 for this role.
- How much experience is required?
- At least 2 years of relevant experience for this Associate Forward Deployed Engineer, Enterprise Accounts role.
- Where is the role based?
- Labelbox is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Machine Learning, AI/ML, Python.
- What seniority level is this role?
- Labelbox targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Associate Forward Deployed Engineer, Enterprise Accounts role at Labelbox.
From the original posting
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.
About the Role
As a forward deployed engineer, you are in the unique position of helping Labelbox’s customers build and operationalize transformational AI technology. As part of the enterprise team, we are not just helping someone use our application and services, we are collaborating with business and technical teams as they build pioneering technology, often the first of its kind for their industry. You will use a unique mix of engineering, product, and sales skills to deliver data on high stakes projects for leading enterprise customers. As the technical expert post-sale, you’ll guide customers through implementation and on-going management of their Labelbox pipelines, provide best practices for achieving their ML goals, and identify solutions to any technical obstacles they encounter along the way.
Your day to day
- Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive the value of Labelbox
- Help organizations build cutting-edge AI applications by staying current with the emerging state of the ML dev lifecycle where training data is the source code
- Guide customers through architecture designs identifying solutions for various environments including SaaS integration, API, SSO, and security
- Continuously learn and improve skills in software, computer vision, and ML
- Provide mentorship and guidance through demonstrable knowledge of Labelbox’s products, solutions and methodologies
- Partner with Account Executives to identify growth opportunities and accurately forecast renewals
- Manage onboarding, implementation, for Labelbox’s highly technical customers
- Partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers
- Be an internal advocate for customer needs and feature requests across product, internal support, engineering and Sales
- Help drive customer references and case studies
About you
- Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
- 2+ years of professional experience in a related field.
- Proficiency in Python and data analysis.
- Prior experience leading LLM projects.
- Exceptional communication skills: ability to convey complex technical concepts clearly.
- Strong project management and organizational skills.
- Passion for AI and 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.
Life at Labelbox
- Location: Join our dedicated tech hub in San Francisco
- Work Style: Hybrid model with 3 days per week in office, combining collaboration and flexibility
- 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.