Data Infrastructure

Roboflow
NY, SF or Remote Posted 27 February 2026

Job Description

Data Infrastructure 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. 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 https://blog.roboflow.com/cancer-research-computer-vision/ to accelerate cancer research, improving construction site safety https://blog.roboflow.com/preventing-accidents-on-construction-sites-with-computer-vision/, digitizing floor plans https://blog.roboflow.com/floor-plan-analysis-computer-vision/, preserving coral reef populations https://blog.roboflow.com/reefos-supercharging-coral-reef-restoration-with-ai/, guiding drone flight https://blog.roboflow.com/georeferencing-drone-videos/, and much more https://roboflow.com/templates. 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 Google Ventures, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. What We're Looking For Primarily, you like to make great things with passionate colleagues. You are someone that likes to own outcomes, not only inputs. You’re motivated by having responsibility and accountability. You’re eager to ‘do the work,’ big and small. You’re motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role. Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow. Maybe you had a side hustle in high school or college. Many Roboflowers have used our tools before joining. One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of our open source projects. https://roboflow.com/open-source WHAT YOU'LL DO We're looking for a Data Infrastructure engineer to centralize our data engineering capabilities while empowering teams across the organization to leverage data for their specific domains. Reporting to the Business Infrastructure Lead, this role sits at the intersection of infrastructure engineering and platform enablement; you'll be responsible for both the technical excellence of our data systems and ensuring every team can effectively access and utilize data for their needs. Our current data stack powers critical business functions but needs thoughtful stewardship and evolution. You'll own our point of view on data services, lead the buildout of our data pipeline architecture, and ensure we're maximizing value while optimizing GCP utilization and spend. - Own the data platform: Provide stewardship for our BigQuery and dbt infrastructure, improving reliability, performance, and developer experience - Enable teams: Build self-service capabilities and tooling that allow product, sales, marketing, and engineering teams to access and analyze data independently - Design data architecture: Define and implement our philosophy on data services, including pipeline patterns, data modeling standards, and integration approaches - Optimize infrastructure: Deeply understand GCP and BigQuery to architect cost-effective solutions that scale with our growth - Build collaboratively: Work with stakeholders across the company to understand data needs and build pipelines that serve multiple ... (truncated, view full listing at source)