Full-Time

Senior Engineering Manager

Confirmed live in the last 24 hours

Labelbox

Labelbox

201-500 employees

Provides data labeling solutions for AI

Enterprise Software
AI & Machine Learning

Compensation Overview

$220k - $250kAnnually

Senior, Expert

San Francisco, CA, USA

Hybrid model with a focus on collaboration in the San Francisco Bay Area.

Category
Engineering Management
Software Development Management
Required Skills
Agile
Python
Java
TypeScript
JIRA
Data Analysis
Requirements
  • Bachelor’s degree in computer science or related field. Advanced degree preferred.
  • 8+ years of work experience in a software company in full-stack development, including backend.
  • 3+ years of leadership experience managing one or more highly technical teams.
  • Demonstrated experience in project management and tools such as Jira.
  • Experience with agile software development and exhibited end-to-end ownership of projects.
  • A disciplined approach to software development with focus on testing and quality.
  • Extensive software design and architecture skills in large-scale systems, including APIs, pub-sub frameworks, designing database schemas, data migrations.
  • Proficiency in programming languages such as TypeScript, Java, Python.
  • Experience working with cloud computing platforms and data processing technologies.
  • Excellent communication and collaboration skills.
  • Thrive in a fast-paced environment with a willingness to dive deep and to get things done.
Responsibilities
  • Drive engineering execution for your team through guidance and technical leadership.
  • Collaborate with cross-functional teams to prioritize work items, track progress and deliver on commitments.
  • Prioritize tasks, lead the release, and sprint planning efforts.
  • Recruit and grow a high-performing engineering team.
  • Work with each engineer in the team on a career progression plan. Identify and address skill gaps.
  • Interested and able to be a hands-on contributor during the entire development cycle from conception and design through release.
  • Brainstorm with engineers on system design and architecture.
  • Unblock and guide the team to ensure adherence to commitment deadlines and quality standards.
  • Interface and communicate regularly with senior management and technical architects.
  • Work with the broader engineering organization to ensure that the infrastructure and tools we build are performant, scalable, reliable, and secure.
  • Engage with stakeholders, including customers, to understand their needs, gather requirements, and translate into planned deliverables.
  • Contribute to technical documentation.
  • Stay abreast of industry trends and emerging technologies.

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 tools and analytics.

Company Stage

Series D

Total Funding

$183.7M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

46%

1 year growth

38%

2 year growth

33%
Simplify Jobs

Simplify's Take

What believers are saying

  • Labelbox's LLM solution aids enterprises in generative AI innovation.
  • Partnership with Google Cloud enhances Labelbox's AI capabilities and market reach.
  • Growing demand for AI-driven data labeling in healthcare boosts Labelbox's market potential.

What critics are saying

  • Competition from Google's Gemini platform may attract potential Labelbox clients.
  • Rapid AI advancements by tech giants pressure Labelbox to innovate continuously.
  • Reliance on partnerships like Google Cloud poses risks if partnerships change.

What makes Labelbox unique

  • Labelbox offers a data-centric AI platform with human supervision and automation.
  • The platform supports diverse data types, including images, videos, text, and documents.
  • Labelbox's SaaS model includes 'Boost Workforce' for scalable labeling capacity.

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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)