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 1M+ users working on problems we couldn't even imagine when we got started!

Who

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.

Growth

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).

Check out our Series B announcement here!

Who We Are

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.

At Roboflow, we’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.

Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “Roboflow is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond.

We’re supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

What You'll Do

As a Growth Account Executive, you’ll own the full sales cycle from the moment a lead comes in to long-term customer success and expansion. You’ll work primarily with inbound interest, fielding demo requests and form submissions, qualifying prospects, and guiding them through the journey from discovery to deployment.

You’ll manage a dynamic book of accounts: scheduling and leading demos, following up with prospects, surfacing the most impactful use cases, and staying hands-on to ensure customers activate and grow over time. You’ll monitor your pipeline daily, stay close to customer needs, and work cross-functionally to remove friction and create value at every stage.

Because we’re a small, fast-moving team, you’ll also help shape how we sell—identifying what works, improving processes, and creating tools or materials to better support customers.

📅 Within one week, you will…

• Learn all about computer vision, our product, company, customers, and vision.
• Build your first computer vision project with Roboflow (if you haven't already)
• Ship something substantial to an end user

📅 Within one month, you will…

• Onboard in person with your manager (you’ll come to our NY or SF Hub!)
• Shadow calls, review key deals in our segment, build up a demo workspace with multiple computer vision projects
• Perform mock demos, start fielding inbound leads, and identify your first opportunity

📅 Within three months, you will…

• Have established relationships with new prospects and existing accounts that you inherit

• Close new business, expansions, and renewals on your own

• Carry a full quota, with a confident understanding of how to triage bugs, manage your book, navigate our billing systems, and other tools.

  📅 Within six months, you will…

• Attend your first all company onsite

• Be ramped up on other relevant parts of the Roboflow product.

• Start building cross-team relationships

Who You Are

• Excited about computer vision, even if you’re still learning the technical details. Maybe you've already built something with Roboflow—or want to.
• Experienced in high-volume sales (with a proven track record) where staying organized and adaptive was key to success. You are energized by juggling multiple conversations, customers, and tools at once.
• A sharp thinker with a technical background or the curiosity and drive to develop one. You enjoy working cross-functionally, even helping shape new features.
• Enjoy working with a wide range of customers from many different industries and can quickly understand and support their unique needs.
• Relationship builders that own their customer’s journey, from first touch through activation and expansion.

Preferred Requirements:

• 3+ years of sales experience. This can be a mix of SDR, AE, AM, or similar roles.
• 1+ years of closing experience, preferably managing end-to-end SaaS sales cycles at a previous startup.
• Previous experience in developer tools, cloud infrastructure, machine learning, and/or data tooling.

Who You'll Be Working With

As a Growth Account Executive, you’ll partner directly with our product and engineering teams to advocate for customers, provide feedback on the platform, and help shape new features. You’ll also work with our technical marketing team to help promote activation, positioning, and potential partnerships.

Where You'll Work

Roboflow is distributed across the US and Europe. We currently have Hubs in New York City and San Francisco (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr 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 (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!

When You'll Work

Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed.

What You'll Receive

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 between $140k - $170k OTE.

📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:

• A $4000 Travel Stipend to travel anywhere anytime to work with alongside other Roboflowers.
• A $350 Productivity stipend to spend on things that make your work environment more productive, like high - speed internet at home or a co-working space.
• Coverage of up to 100% of your health insurance costs for you and your partner or family.
• Equity in the company so we are all invested in the future of computer vision and Roboflow.

Not sure if this is you?

We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, look into 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.

Learn More About Us

We are building a diverse Distributed team that is distributed across the globe. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences.

We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at Roboflow by reading these blog posts.

See our careers page for all open listings.

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.