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.
As Senior Engineering Manager for the Perception engineering team at Labelbox, you will lead a team that builds easy-to-use and efficient tools that support the development of cutting-edge AI systems like those for generative AI and computer vision.
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 at the intersection of AI and 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 understanding of the AI/ML ecosystem.
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 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.
- Bachelor’s degree in Computer Science or a related field (Advanced degree preferred).
- Proven technical leadership with 4+ years of experience in full-stack development and 2+ years managing highly technical engineering teams.
- Strong software design and architecture skills, with experience in API development, schema design, etc.
- Expertise in programming languages such as TypeScript and Python, with a disciplined approach to software development focused on testing and quality.
- Hands-on experience with front-end frameworks like React. Early career experience is fine.
- Strong understanding of the AI/ML ecosystem, including LLM evaluation, prompt/context engineering. Keen interest in keeping up with latest trends in the domain.
- Experience with developing AI/ML tooling such as UI for ML pipelines, feature stores, etc.. Experience with 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).
- 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.
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 StackOur 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.
- 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
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.
