Senior Engineering Manager, Multimodal AI Editors at Labelbox

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

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
2+ years managing highly technical engineering teams
Strong software design and architecture skills
Strong foundation in full-stack frameworks

Responsibilities

Manage the team’s daily operations, including sprint planning, daily standups, and one-on-one meetings, ensuring smooth execution and continuous progress
Provide technical expertise in full-stack development, guiding the team in building robust and efficient systems
Collaborate with other engineering teams to align on architecture, share best practices, and drive cross-functional initiatives
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
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

Skills

Key technologies and capabilities for this role

Engineering ManagementAI DevelopmentMultimodal AIData AnnotationWorkflow AutomationQuality ControlTeam LeadershipPerception EngineeringGenerative AI

Questions & Answers

Common questions about this position

What is the salary for the Senior Engineering Manager role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Engineering Manager position?

The role requires a strong foundation in full-stack frameworks, technical expertise in full-stack development, and experience managing daily operations like sprint planning, standups, and one-on-ones.

What is the company culture like at Labelbox?

Labelbox operates like an early-stage startup with a high-impact environment focused on impact over process, technical excellence, innovation at speed, continuous growth, and clear ownership with high agency and autonomy.

What makes a strong candidate for this engineering manager role?

Strong candidates will have experience providing technical leadership, recruiting and mentoring top talent, fostering high-performing teams, and driving efficient execution through sprint planning and alignment with business objectives.

Labelbox

Provides data labeling solutions for AI

About Labelbox

Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that streamline workflows.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$183.7MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Competitive remuneration

Flexible vacation policy (we don't count PTO Days)

401k Program

College savings account

HSA

Daily lunches paid for by the company (especially convenient while working from home)

Virtual wellness and guided meditation programs

Dog-friendly office

Regular company social events (happy hours, off-sites)

Professional development benefits and resources

Remote friendly (we hire in-office and remote employees)

Risks

Competition from Google's Gemini platform may attract potential Labelbox clients.

Rapid AI advancements by tech giants could outpace Labelbox's current offerings.

Reliance on partnerships like Google Cloud poses risks if these change or dissolve.

Differentiation

Labelbox offers advanced data labeling solutions for AI applications across multiple industries.

The platform supports complex NLP use cases, attracting tech and communication sectors.

Labelbox's SaaS model includes workforce augmentation services for scalable data labeling.

Upsides

Integration with Google Cloud enhances Labelbox's AI capabilities and client offerings.

Auto-computed metrics reduce error correction time and improve model performance.

Opening a London office facilitates European market expansion and better client service.

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