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.
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.
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 1M+ users working on problems we couldn't even imagine when we got started!
Roboflow is a venture-backed SaaS startup that empowers innovators all over the world to build, train, and deploy computer vision models. Roboflow believes that computer vision is a foundation technology that will transform nearly every industry. We currently have over 250,000 users, including half of the Fortune 100. Roboflow has enabled our customers to accelerate cancer research, conduct experiments in space, accelerate the world’s transition to green energy, and improve the retail experience (to name a few!) with world-altering technology. Investors like Y Combinator, Google Ventures, David Sack’s Craft Ventures, Lachy Groom, the founders of OpenAI (Sam Altman and Greg Brockman), and many others back Roboflow.
As with any rapidly scaling startup, we hope to build a team that is both versatile and adaptable. Each role has tremendous potential for growth. As such, we believe that coachability, enthusiasm, and an entrepreneurial mindset are more important than experience or qualifications.
Roboflow went from zero to over 20,000 users in 2020 (and now to over 1M+ in 2025) 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.
Learn more about us on our careers page (https://roboflow.com/careers).
Roboflow is a venture-backed SaaS startup that empowers innovators all over the world to build, train, and deploy computer vision models. Roboflow believes that computer vision is a foundational technology that will transform every industry. We currently have over 1,000,000 users, including half of the Fortune 100.
Roboflow has enabled our customers to accelerate cancer research, conduct experiments in space, accelerate the world’s transition to green energy, and improve the retail experience (to name a few!) with world-altering technology. Investors like Y Combinator, GV, David Sack’s Craft Ventures, Lachy Groom, the founders of OpenAI, and many others back Roboflow.
We are building a team that is both versatile and adaptable. Each role has tremendous potential for growth. As such, we believe that coachability, enthusiasm, and an entrepreneurial mindset are more important than experience or qualifications.
You’re driven by launching new products that change the world. You get excited by building viral demos and being first to come up with novel use cases of new technology. You love to excite and equip others to build and learn new skills. You’re intrinsically motivated by our mission and excited to evangelize Roboflow.
You’re ready to devote the next part of your career to an exciting and critically important developer product, and know how to deliver work that will inspire people to spread the word about it.
You don’t just want to be part of an industry movement, you want to be out front leading it.
As the first DevRel hire, you’re taking the function from zero to one. You’ll be responsible for driving our goals for enabling every developer to build with computer vision. You’re not starting from scratch, over a million developers use Roboflow today. We have the raw materials ready to be molded and scaled by a DevRel leader.
Responsibilities include:
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.
Spend the first week onboarding in person with your manager (you'll come to our NY or SF Hub!)
Start building a trusting relationship with your peers, and learning the company structure
Ship at least one substantial example, demo, guide, or project to end users within your first week
Build your first Roboflow computer vision project (if you haven't already)
Understand the overall company vision, mission, strategy, product, roadmap, and DevRel’s critical contribution to the success of the company
Have 5 technical guides showing how to use Roboflow
Create a viral demo highlighting a newly launched feature or product
Attend 3 events in-person
Build relationships within the vision and developer community
Consistently create content across online platforms to build in public
Have a project go viral on social media or HackerNews
Attend your first all-company onsite
Be ramped up on all relevant parts of the Roboflow product
Have a steady cadence of speaking, event attendance, event hosting, and public interviews
Have multiple projects you own that drive consistent traffic and users of Roboflow
Double your personal audience reach and engagement
Have a video cross 100k views
Unlock new growth opportunities with integrations into new ecosystems, industries, use cases, and communities
You will directly be working with our Marketing Lead, Open Source Lead, co-founders, Product Engineers, and Product Designers.
We are currently a team of 70 team members located all over the US and Europe. Our team’s backgrounds range from high school whiz kids, former founders of technology companies and fashion lines, world-class engineers, CMOs to CEOs, and have experience scaling businesses to millions in revenue. We want to work with exceptional people with a diverse background. At this early stage, you'll have the ability to work cross-functionally with many members of the team and solve a wide array of problems.
Roboflow is distributed across the US and Europe. We currently have Hubs in New York City and San Francisco with a mindset of opening more offices as we grow. We provide opportunities (like team onsites in different cities) and resources (like a travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs, work from home, work at co-working spaces, etc. We want you to work where you work best. Learn more about how we work at Roboflow.
We don’t have a particular time-zone preference for this role. We have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed.
Level
Senior+
To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every 6 months to ensure we stay in line with the market.
💰 The target compensation for this role is $175,000 to $195,000 base salary
📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:
Below is the interview process you can expect for this role. We are all motivated to work with an exceptional team and don't currently have recruiters at Roboflow. You will be speaking directly with our team about what it's like to work and thrive here. We like to work fast at Roboflow, so don't be surprised if all the below conversations happen over a day or two.
Introduction Phase:
[45m] Meet with hiring manager for introduction, Trevor Lynn, to assess for overall mindset and skill set
This first interview is a time to get to know more about the role, allow us to get to know you better, and ensure it's a good fit for both parties to continue moving forward in the process
Team Interview Phase:
[60m] Meet with our Technical Marketer, James Gallagher
[60m] Meet with our Open Source Lead, Piotr Skalski
[30m] Meet with hiring manager, Trevor Lynn
Use this time to review specifics about the job description and ask questions before the project phase begins.
Project Phase:
You’ll build a project with Roboflow within a specified amount of time.
We check references and conduct a background check.
Final Interview Stage:
[60m] Meet with Co-founder & CTO, Brad Dwyer
[60m] Meet with Joseph Nelson, CEO
[30m] Meet with Kate Wagner, Head of Operations
Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.
Not sure if this is you?
We want a diverse, global team, with a broad range of experience and perspectives. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences.
If this job sounds great, but you’re not sure if you qualify, apply to our Former Founders role or subscribe to our career newsletter by emailing "Subscribe" to operations[at]roboflow.com . We carefully consider every application, and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.
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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