Senior Engineering Manager, Multimodal AI Editors

Shape the Future of AI

At Labelbox were building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018 weve 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

Were 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

Why Join Us

• High-Impact Environment: We operate like an early-stage startup focusing on impact over process. Youll 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. Youll be surrounded by curious minds solving complex problems at the frontier of AI.
• Clear Ownership: Youll know exactly what youre responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

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 teams 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 keyyou 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.

What You Bring

• Bachelors 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.

Engineering at Labelbox

At Labelbox Engineering were 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. Weve 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: with Redux TypeScript
• Backend: TypeScript Python some Java & Kotlin
• APIs: GraphQL
• Cloud & Infrastructure: Google Cloud Platform (GCP) Kubernetes
• Databases: MySQL Spanner PostgreSQL
• Queueing / Streaming: Kafka PubSub

Life at Labelbox

• 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 humanitys 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 Labelboxs Job Applicant Privacy notice.

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