Digital Marketing Manager, Voxel51

$165-185k

+ Equity in the form of options

Senior level
Remote in Canada, US
Voxel51

Data platform for computer vision models

Open for applications

Voxel51

Data platform for computer vision models

21-100 employees

B2BData storageComputer VisionSaaSData Analysis

Open for applications

$165-185k

+ Equity in the form of options

Senior level
Remote in Canada, US

21-100 employees

B2BData storageComputer VisionSaaSData Analysis

Company mission

Voxel51's mission is to bring transparency and clarity to the world's data through its computer vision data modelling platform.

Role

Who you are

  • Proven digital marketing skills
  • 5+ years hands-on experience in digital campaigns in B2B technology companies
  • Experience and success marketing to technical users and buyers
  • Ability to navigate a fast-moving, dynamic early-stage startup environment
  • Problem-solving skills in creating effective campaigns
  • Strong communication skills to both internal and external audiences
  • Strong team player, able to collaborate and succeed in a diverse, distributed team
  • Ability to succeed in a remote-first, distributed and collaborative environment

What the job involves

  • As a digital marketing manager at Voxel51, you’ll be at the center of delivering our story to the market
  • You’ll own planning and implementing campaigns that create awareness and engagement across with our target audiences through digital channels
  • Working collaboratively with our go-to-market team, you’ll play a critical role in supporting our go-to-market efforts and advancing our mission to help companies build and deliver impactful visual AI innovations
  • Collaborate with marketing and sales stakeholders to identify and prioritize campaigns
  • Plan, build and manage campaigns utilizing paid media, paid search, e-mail and other digital channels
  • Analyze and optimize campaigns
  • Track and report on campaign performance and progress to the broader team
  • Work with marketing, community and developer relations to identify and prioritize content needs for campaigns
  • Ensure consistent brand and message across our campaigns and channels

Our take

Recent innovations in computer vision mean that AI can recognise images within large-scale datasets, presenting significant opportunities for innovation in just about every industry. However, this only works successfully when AI is trained with high-quality datasets, and it is difficult to organize, locate, and correct mistakes at such high scale.

Voxel51 provides a data platform for computer vision models called FiftyOne, an open-source toolkit that helps users automate the organization, navigation, and creation of computer vision models, regardless of size. The platform also includes automated data quality control tools to help users identify detrimental mistakes within models, a process that is necessary for successful computer vision.

Many startups are tackling inefficient computer vision workflows, but Voxel51 has found a gap in the market by focusing specifically on the laborious manual processes associated with organizing and aggregating high-quality datasets. It has formed a collaborative partnership with Google, empowering its platform with Google's pre-annotated image datasets, and recently announced an AI assistant that can generate Python Code for computer vision dataset analysis.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 4 rounds)

May 2024

$30m

SERIES B

Sep 2022

$12.5m

SERIES A

Total funding: $45.8m

Company benefits

  • Medical, Dental & Vision
  • Flexible work schedules
  • Generous PTO
  • Family-friendly policies
  • Stock options
  • 401k matching
  • Flexible set-up
  • Rich team building
  • Healthy remote playbook

Company HQ

Ann Arbor, MI

Leadership

Jason Corso

(Chief Science Officer)

Experience as Director of the Stevens Institute for Artificial Intelligence. Associate Professor of Electrical Engineering and Computer Science at the University of Michigan since 2014.

Was a Software Engineering and Research Intern at Google. Also a Graduate Research Assistant at the University of Michigan from 2012 to 2017.

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