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Customer Success Engineer

RoboflowNY, SF or Remote (US) GTM
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
23 Sept 2026
Status
Open · checked 7d ago

About this role

Roboflow is hiring a Customer Success Engineer to empower self-serve and corporate users to build successful computer vision applications. This remote or US-based role suits a technically curious professional who enjoys teaching complex technology and turning customer insights into scalable educational resources.

Role Overview

As a Customer Success Engineer at Roboflow, you will help a rapidly growing community of computer vision practitioners move from experimentation into production. You will balance scalable 1-to-many enablement initiatives with targeted 1-to-1 engagements for qualifying corporate accounts. Your focus will be on removing educational friction so users can become independent and confident platform operators. This position directly shapes the future of customer enablement at a company backed by leading software investors and utilized by over a million developers.

Key Responsibilities

Build, deliver, and continuously optimize technical enablement programs covering platform onboarding, dataset management, annotation strategy, model training, evaluation, and workspace administration.
Host live educational sessions, including bi-weekly webinars, technical workshops, office hours, and structured clinics.
Design comprehensive learning journeys that help users progress toward advanced platform utilization.
Deliver the structured 1-to-1 Targeted Enablement Option Pack for qualifying corporate customers.
Produce reusable technical enablement materials such as documentation, video walkthroughs, reference guides, and recorded tutorials.
Analyze recurring customer questions to build scalable educational assets that prevent repetitive support inquiries.
Track customer activation and engagement metrics to identify cohorts that would benefit from targeted programs.
Collaborate closely with product teams to highlight usability gaps and recurring knowledge friction.

Requirements

Working knowledge of machine learning and computer vision concepts, including datasets, annotations, model training, evaluation metrics, and inference.
Proficiency in Python alongside working experience with APIs, notebooks, and developer tools.
Ability to master the Roboflow platform quickly and demonstrate its workflows to customers with varying levels of experience.
Strong comprehension of model evaluation principles, such as precision, recall, confusion matrices, and confidence thresholds.
Familiarity with dataset quality standards, versioning, and annotation strategies.
Excellent technical teaching and content creation abilities across written, recorded, and live formats.
Strong communication skills with the ability to set clear boundaries and guide customers effectively in remote settings.

Nice to Have

Prior experience using the Roboflow platform or contributing to open source ecosystems.
Background in Customer Success, technical enablement, Developer Relations, technical education, Solutions Engineering, or technical Support.
Experience creating tutorials, documentation, developer courses, or educational videos.
Experience delivering technical demonstrations, training sessions, workshops, or webinars.
Experience supporting product-led growth or self-service SaaS customers.
Familiarity using product telemetry or activation data to shape customer engagement strategies.

Skills and Tools

Python
APIs and developer notebooks
Computer vision platforms and machine learning tools
Dataset management and model evaluation techniques
Technical writing and live presentation tools

Salary and Benefits

Generous cash compensation determined through market-driven salary sources and reviewed every six months.
Company equity to ensure all team members share in the future of computer vision.
Health insurance coverage up to 100 percent for employees and their families.
A $4,000 annual travel stipend to visit hubs or collaborate anywhere in the world.
A $350 monthly productivity stipend for high-speed home internet or co-working spaces.

About the Company

Roboflow simplifies the process of building and deploying computer vision models, making artificial intelligence more accessible to developers worldwide. Over a million developers, including organizations across the Fortune 100, use its open-source and hosted machine learning tools for use cases ranging from cancer research to environmental preservation. Backed by prominent investors like Y Combinator and Google Ventures, the company operates as a distributed team that values ownership, accountability, and a bias toward action.

How to Apply

Visit the official Roboflow careers page to submit your application and review open opportunities.

Skills and tech stack

PythonComputer VisionMachine Learning

Questions candidates ask

What is the location policy for the Customer Success Engineer role?

The role can be performed remotely across the United States or out of the company hubs in New York City and San Francisco.

What core technical skills are required?

Candidates need working knowledge of computer vision and machine learning, proficiency in Python, and familiarity with APIs, developer tooling, and model evaluation concepts.

What are the primary responsibilities of this position?

Responsibilities include hosting webinars and workshops, creating educational content, delivering targeted 1-to-1 sessions for corporate clients, and turning recurring customer questions into scalable enablement programs.

What benefits and stipends are provided?

Roboflow offers comprehensive health insurance coverage up to 100%, company equity, a $4,000 annual travel stipend, and a $350 monthly productivity stipend.

How can an applicant stand out during the hiring process?

Candidates can stand out by writing about a project they have built using Roboflow or by contributing to one of the company's open-source projects.

Ready to apply?

The application is on the official Roboflow careers page.

Apply on company site