Community Manager at Roboflow (S20)
🖼️ Give your software the sense of sight.
Remote
Full-time
3+ years
About Roboflow

We're on a mission to remove barriers that prevent developers from building their own computer vision applications. Roboflow streamlines the process of labeling, training, and deploying a computer vision model.

Why

Computer vision is going to transform every industry. We're already seeing this play out in fields like transportation (self driving cars), agriculture (drone spraying), and medicine (early stage cancer detection). But these superpowers shouldn't be locked up in the handful of giant technology companies that can afford to hire teams of machine learning PhDs.

What

Roboflow enables any developer to use computer vision without being a machine learning expert. Our product is the key missing infrastructure that allows developers turn raw images into a useful model -- replacing a sprawling list of one-off utils everyone previously had to reinvent and enabling our users to have working models in hours, not weeks.

For example, Sarah Hinkley from Barn Owl Drones uses vision to identify weeds from crops in drone images so her customers can use fewer herbicides and grow more. She's one of our over 50,000 users working on problems we couldn't even imagine when we got started!

Who

Today, Roboflow has eight full-time team members spread across the United States. Their roles range from machine learning to sales. We also have a high school software development intern, and a part-time employee researching our new signups. Kelo, Amanda's dog, is the best at frisbee among us.

We're united in our common goals to create high quality products and place our users first. Since we're a small upstart, that means building things really quickly and fixing bugs right away. As with any rapidly scaling startup, we hope to build a team that is both versatile and adaptable. This role has tremendous potential for growth. As such, we believe that coachability and enthusiasm are more important than experience or qualifications. If you’re excited about this opportunity, we want to hear from you.

We strongly encourage applicants from backgrounds that are traditionally under-represented in tech to apply - especially those who identify as Black, Latinx, Native American, Asian and/or LGBTQ+. People who identify as part of these groups have also been under-represented at Roboflow, but intentionally recruiting a team with unique backgrounds is one of several ways we are working to add more distinct viewpoints to our company.

Growth

Roboflow went from zero to over 20,000 users in 2020 (and now to over 50,000 in 2021) and our customers are requesting features and product enhancements faster than we can provide them.

We're starting to build out our engineering, marketing, and sales teams. As an integral part of our core team, all roles will inevitably involve wearing a lot of hats; we're specifically looking for people excited about learning new things and filling gaps where needed. And most importantly, we're looking for people who ship.

Resources

Check out our Careers page for more info on the company, how we work together, and how we're building strong culture and camaraderie in a post-COVID world.

About the role

Overview Roboflow now has over 60,000 users and we’re looking for someone to help nurture them and amplify their stories. We’re looking for someone who loves interacting with users, is excited to dive into the existing community head first, and has ideas to engage the community with new ideas going forward.

Previous experience building community at a developer tooling company is a huge plus. Technical skills are not required but would be valuable in helping to get in the headspace of our audience.

What You’ll Do This role is part content marketing, part evangelist, part social media, and part business development. Your long-term objectives will be helping us get computer vision on the radar of every developer, and ensuring that whenever people think “computer vision”, they think “Roboflow”.

We have a solid foundation to build on. There are already over 60,000 users of our platform that we can use to seed the community. And with our launch of Roboflow Universe, a community space where users can share datasets and pre-trained models with each other, we now have thousands of publicly accessible user projects we can use to grow our audience even further.

You will work in conjunction with a full-stack engineer on building Roboflow Universe into the preeminent community for computer vision APIs and datasets.

Requirements of this role include:

  • Excellent verbal and written communication skills
  • Enthusiasm for machine learning and increasing accessibility to transformative technology
  • Experience in a customer-facing role (broadly): marketing, customer service, or similar
  • A passion for developing relationships and helping others succeed
  • The curiosity to learn whatever skills may become necessary (for example, the basics of computer vision)

Responsibilities To give you an idea of what it will be like to work here, here are a few projects you will be in charge of:

  • Roboflow Universe editorial (selecting projects to feature, interfacing with users, curating READMEs, categorizing projects etc) on https://universe.roboflow.com
  • Ideating and running contestsCommunity spotlight blog posts like these https://blog.roboflow.com/using-computer-vision-microbiology/
  • Writing customer case studies like these https://blog.roboflow.com/computer-vision-people-counting-atos/
  • Moderating a forum or subreddit
  • Crafting our weekly newsletter
  • Propagating content to social media
  • Launching the Roboflow user support forumIdentifying and interfacing with influencers
  • Empowering community members with things like swag
  • You may also have or quickly develop ideas for amplifying and expanding our community even more -- and we can’t wait to support those as well.
Technology

Our goal is to build the world's best computer vision infrastructure so our users don't have to. This means we handle a lot of challenging complexities like seamlessly ingesting dozens of data formats, processing millions of images per day, and deploying auto-scaling machine learning infrastructure that can handle our customers' most demanding training and deployment needs.

Our core app sits atop Firebase with assistance from auto-scaling groups of Docker containers (for jobs like archiving datasets and training models). We also heavily lean on serverless infrastructure so we can gracefully deal with bursty traffic involved in manipulating datasets that can range anywhere from one hundred to one million images.

We also maintain a library of Colab notebooks our customers can use to train common computer vision models, a directory of public datasets, and a web of format specifications. We see building and supporting mini-projects like these that are helpful to the community at large as part of our role in democratizing computer vision.

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