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.
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.
About the Role
As an engineering manager for the Alignerr engineering team at Labelbox, you will lead and grow a team working on building a scalable platform that enables hiring, onboarding, billing/payment management of highly skilled individuals in specialized domains from across the world, to train and tutor AI. You will manage the day to day running of the team, including sprint planning, daily scrums, 1:1s, etc. You will also bring to the table domain knowledge in full-stack development and related tooling. You will work closely with sister teams across the engineering organization to collaborate on key initiatives. This role expects the team manager to be technically sound with domain knowledge in full-stack frameworks (including backend development) as well as knowledge of AI systems which are used in developing the Alignerr applications.
Your Day to Day
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Drive engineering execution for your team through guidance and technical leadership.
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Collaborate with cross-functional teams to prioritize work items, track progress and deliver on commitments.
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Prioritize tasks, lead the release, and sprint planning efforts.
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Recruit and grow a high-performing engineering team.
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Work with each engineer in the team on a career progression plan. Identify and address skill gaps.
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Interested and able to be a hands-on contributor during the entire development cycle from conception and design through release.
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Brainstorm with engineers on system design and architecture.
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Unblock and guide the team to ensure adherence to commitment deadlines and quality standards.
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Interface and communicate regularly with senior management and technical architects.
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Work with the broader engineering organization to ensure that the infrastructure and tools we build are performant, scalable, reliable, and secure.
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Engage with stakeholders, including customers, to understand their needs, gather requirements, and translate into planned deliverables.
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Contribute to technical documentation.
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Stay abreast of industry trends and emerging technologies.
About You
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Bachelor’s degree in computer science or related field. Advanced degree preferred.
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8+ years of work experience in a software company in full-stack development, including backend.
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3+ years of leadership experience managing one or more highly technical teams.
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Demonstrated experience in project management and tools such as Jira.
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Experience with agile software development and exhibited end-to-end ownership of projects.
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A disciplined approach to software development with focus on testing and quality.
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Extensive software design and architecture skills in large-scale systems, including APIs, pub-sub frameworks, designing database schemas, data migrations.
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Proficiency in programming languages such as TypeScript, Java, Python.
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Experience working with cloud computing platforms and data processing technologies.
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Excellent communication and collaboration skills.
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Thrive in a fast-paced environment with a willingness to dive deep and to get things done.
Nice to Have
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Experience with front-end frameworks such as React.
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Experience leveraging large language models such as Open AI GPT-4, Google Gemini, etc. to build product features and capabilities.
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Working knowledge of AI services APIs including text to speech, speech to text, translation, transcription, etc.
Engineering at Labelbox
We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.
We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox. We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.
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
Excel in a remote-friendly hybrid model.
We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.
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.
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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