Posted:
4/24/2025, 7:04:45 AM
Location(s):
San Francisco, California, United States ⋅ California, United States
Experience Level(s):
Senior
Field(s):
Software Engineering
Pay:
$98/hr or $203,840 total comp
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:
As an Engineering Manager for the Alignerr engineering team at Labelbox, you will lead and grow a team responsible for building a scalable platform that supports the hiring, onboarding, and payment management of specialized experts who train and tutor AI.
In this role, you will manage the team’s daily operations, including sprint planning, daily standups, and one-on-one meetings, ensuring smooth execution and continuous progress. You will also contribute technical expertise in full-stack development, guiding the team in building robust and efficient systems.
Collaboration is key—you will work closely with other engineering teams to align on architecture, share best practices, and drive cross-functional initiatives. This role requires a strong foundation in full-stack frameworks (including backend development) and an understanding of AI systems to effectively lead the development of Alignerr applications.
At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.
Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
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.
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.
Website: https://labelbox.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 101-250
Year Founded: 2017
IPO Status: Private
Last Funding Type: Series D