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 Aligner, 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.
Role Overview
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.
Your Impact
- Drive engineering excellence by providing technical leadership and guidance, ensuring the team delivers high-quality, scalable, and reliable systems.
- Foster a high-performing team by recruiting top talent, mentoring engineers, and supporting career growth through skill development and progression plans.
- Ensure efficient execution by leading sprint planning, prioritizing tasks, and maintaining alignment with business objectives while meeting deadlines and quality standards.
- Shape system architecture by collaborating with engineers to design robust, scalable infrastructure that meets evolving business and technical needs.
- Enable cross-functional success by working closely with product managers, designers, and other engineering teams to align priorities and translate stakeholder needs into impactful deliverables.
- Improve developer productivity by ensuring infrastructure, tools, and processes support efficient development while maintaining security, reliability, and scalability.
- Stay at the forefront of technology by keeping up with industry trends, integrating new insights into engineering practices, and contributing to technical documentation to support knowledge sharing.
What You Bring
- Bachelor’s degree in Computer Science or a related field (Advanced degree preferred).
- Proven technical leadership with 8+ years of experience in full-stack development (including backend) and 3+ years managing highly technical engineering teams.
- Strong software design and architecture skills, with experience in large-scale systems, API development, pub-sub frameworks, database schema design, and data migrations.
- Expertise in programming languages such as TypeScript, Java, and Python, with a disciplined approach to software development focused on testing and quality.
- Hands-on experience with cloud computing platforms and data processing technologies, ensuring scalable and efficient solutions.
- Project management expertise, including experience with agile methodologies and tools like Jira, demonstrating ownership of end-to-end project delivery.
- Exceptional communication and collaboration skills, enabling effective teamwork across engineering, product, and design teams.
- Ability to thrive in fast-paced environments, with a proactive, problem-solving mindset and a willingness to dive deep to drive results.
- Bonus: Experience with front-end frameworks like React, leveraging large language models (e.g., GPT-4, Gemini) for product development, and working with AI service APIs (e.g., text-to-speech, speech-to-text, translation, transcription).
Engineering at Labelbox
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 Technology Stack
Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
- Frontend: React.js with Redux, TypeScript
- Backend: Node.js, TypeScript, Python, some Java & Kotlin
- APIs: GraphQL
- Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
- Databases: MySQL, Spanner, PostgreSQL
- Queueing / Streaming: Kafka, PubSub
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
$220,000—$250,000 USD
- Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
- Work Style: Hybrid model with 2 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.
Top Skills
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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