Remote Jobs at Labelbox

This Month

Growth Marketing Manager
manager marketing manager machine learning saas Jun 04
Labelbox’s mission is to build the best products for humans to advance artificial intelligence. As a ML Data Specialist, you will work across engineering, customer, and data labeling teams to create highly accurate datasets. This is a unique, cross functional position where you will act as a project/program manager ensuring successful data labeling and machine learning outcomes for customers. You are a creative problem solver with attention to detail.

Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Andreessen Horowitz, Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins and First Round Capital and has been featured in Tech CrunchWeb Summit and Forbes.

We’re looking for a full-stack growth marketer to help us scale and optimize our digital marketing channels. As part of the Growth marketing team you will work alongside product, marketing and operations stakeholders to plan and build multichannel marketing campaigns that drive a positive ROI for the business.

The core responsibilities for this role include

  • The day-to-day management of our paid acquisition campaigns across search and social platforms including bid and budget, pacing and conversion performance down the sales funnel.

  • Managing audiences segmentation and monitoring audience performance.

  • Working with our designers and other stakeholders to develop impactful copy and creative for our advertising, including continually iterating assets to ensure performance.

  • Identifying new online marketing channels and opportunities for expansion and optimization within channels.

  • Prioritizing hypothesis-guided (A/B and Multivariate) experiments within ad platforms within the available resources.

  • Developing landing pages in a landing page builder and conducting ongoing experimentation.

  • Working with sales and marketing operations stakeholders to ensure accurate tracking and attribution of campaign activities.

  • Building alignment with the SDR team on acquisition campaign activities, performance and execution playbooks.

The ideal candidate will have

  • 1-3 years hands-on experience managing paid advertising on search and social platforms.

  • A working knowledge of analytics and reporting tools such as Google Analytics and HEAP Analytics.

  • Experience working at a B2B SaaS company and a first-hand understanding of the B2B Sales funnel.

  • Familiarity with Marketing Automation Platforms (MAPs) such as Marketo, SFMC/Pardot or Hubspot and CRM systems such as Salesforce.
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This Year

Senior Software Engineer, Test Infrastructure
senior javascript data science machine learning docker testing Feb 13
About Labelbox
Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers.

Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Google, Andreessen Horowitz, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes.

As a Senior Software Engineer in Testing Infrastructure you will be responsible for building and maintaining our testing and automation infrastructure, test frameworks, tools, and documentation. At Labelbox engineers are responsible for writing automated tests for their features, and it will be your responsibility to build reliable infrastructure to support their efforts. 

Responsibilities

  • Design, implement and maintain reliable testing infrastructure for unit testing, component testing, integration testing, E2E API and UI testing, and load testing
  • Build and maintain reliable testing environments for our integration, E2E and load testing jobs
  • Integrate our testing infrastructure with our CI/CD pipeline to ensure automated kickoff of tests
  • Guide our engineering team on testing best practices and monitor the reliability and stability of our testing suite
  • When implementing new testing infrastructure and/or adopting new tools, write sample tests and documentation for our engineering team to hit the ground running with the new infrastructure

Requirements

  • 5+ years of experience developing testing infrastructure for web applications in a production environment
  • Experience with web technologies including: React, Redux, Javascript, Typescript, GraphQL, Node, REST, SQL
  • Experience with Unit Testing frameworks such as Jest, Mocha, and/or Jasmine
  • Experience with E2E UI test frameworks such as Cypress, Selenium, and/or Puppeteer
  • Experience writing E2E API tests with frameworks such as Cypress and/or Postman/Newman
  • Experience with Load Testing frameworks such as OctoPerf, JMeter, and/or Gatling
  • Experience integrating with CI/CD platforms and tools such as Codefresh, CircleCI, TravisCI, or Jenkins and Bazel
  • Experience integrating tools to measure code coverage across the different types of testing
  • Experience with Docker and Kubernetes
  • Experience with GraphQL and building testing infrastructure around it
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there.

At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.

Perks & Benefits:
Medical, Dental & Vision coverage
Flexible vacation policy
Dog friendly office
Daily catered lunch & snacks
Great office location in the Mission district, beautiful office & private outdoor patio with grill
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Don't see your role here?
data science machine learning computer vision healthcare Feb 03
Don't quite see the role you're looking for? Labelbox is growing incredibly fast and we are posting new roles frequently. Send us your resume so we can keep you in the loop as we grow.


About Labelbox

Labelbox is at the heart of the AI-powered computer vision revolution. Almost every decision a human makes is visual and these decisions power every industry, from healthcare to agriculture. With AI, computers can now see like humans and can make decisions in the same way. With this newfound capability, our society will build self-driving cars, accessible healthcare, automated farms that can support our global population, and much more.

The bottleneck to achieving these things with AI is the training data sets. We are building Labelbox to solve this bottleneck for data science and machine learning teams.

Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes.
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Senior Fullstack Software Engineer
senior javascript data science machine learning frontend testing Jan 06
About Labelbox

Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers.

Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Google, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes.

Responsibilities

  • Strong understanding of Javascript with an interest in using Typescript
  • Experience managing/scaling SQL databases, orchestrating migrations, and disaster recovery
  • Experience working with Redux and architecting large single page applications
  • Experience and interest in frontend testing
  • Optimizing data models and database configurations for both ease-of-use and performant response times
  • Building new features and resolvers in our GraphQL API with Node.JS

Follow-on Responsibilities

  • Experience with SQL databases
  • Experience optimizing web traffic
  • Experience with RabbitMQ (or other message broker) and Redis
  • Experience constructing and monitoring ETL pipelines
  • Experience with Logstash / Elasticsearch
  • Familiarity with Kubernetes and Docker

Requirements

  • 4+ years of experience building data rich frontend web applications
  • A bachelor’s degree (or equivalent) in computer science or a related field.
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there.

At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.

Perks & Benefits:
Medical, Dental & Vision coverage
Flexible vacation policy
Dog friendly office
Daily catered lunch & snacks
Great office location in the Mission district, beautiful office & private outdoor patio with grill
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Marketing Operations Manager
manager data science machine learning computer vision healthcare Dec 18 2019
Labelbox is at the heart of the AI-powered computer vision revolution. Almost every decision a human makes is visual and these decisions power every industry, from healthcare to agriculture. With AI, computers can now see like humans and can make decisions in the same way. With this newfound capability, our society will build self-driving cars, accessible healthcare, automated farms that can support our global population, and much more.

The bottleneck to achieving these things with AI is the training data sets. We are building Labelbox to solve this bottleneck for data science and machine learning teams.

Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Google, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes.

Labelbox is hiring a Marketing Operations Manager to join our growing Marketing team you will be responsible for managing our marketing and sales operations infrastructure.

As an early marketing hire on our team, you will help:

  • Build-out and manage a marketing operations stack through best practices (we use Hubspot as our CRM).
  • Manage our CRM data quality.
  • Work closely with marketing and sales team members to build workflows and processes in our CRM (and peripheral tools) that mirror our lead generation and sales processes.
  • Configure and build dashboards with key metrics from sales and marketing teams.
  • Implement, and continuously improve, attribution and lead-scoring models.
  • Manage the inflow of inbound leads, ensuring leads are properly enriched and populated with sufficient data to empower SDRs to establish outreach with minimal friction.
  • Manage integrations between web, product, ad-platform and sales analytics tools.
  • Conduct routine reporting and provide ad-hoc insights to marketing, sales and management teams.
  • Monitor the health of our marketing and sales funnels and surface insights and suggestions as required.

The ideal candidate will have:

  • An undergraduate degree with an emphasis in Marketing, Business or a related field
  • 3+ Years Experience in a technical marketing or sales function
  • Familiarity with the following products and languages: Hubspot (or Salesforce), Marketing Automation Platforms (MAPs), Google Data Studio (or a similar visualization product), Zapier, Microsoft Excel, SQL, Google Analytics, Google Tag Manager, Facebook Ads Manager or Google Ads, Sales outreach tools such as Apollo.io
  • Exposure to both startup and enterprise marketing stacks
  • Familiarity with the B2B Marketing and Sales process

  • BONUS Points if you have experience working with data warehouses, Customer Data Platforms and DMPs.

Expertise in each and every function is not required, we are looking for candidates who exhibit full-stack marketing knowledge and the aptitude to learn and develop skills.


Labelbox is an equal opportunity employer.

No sponsorship is available for this position. Valid US Work Authorization is required.


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