8 дней назад
Customer Success Engineer (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Engineer (Computer Vision): Building scalable technical enablement programs, educational content, and customer workflows for computer vision users with an accent on datasets, annotation, model training, evaluation, and Roboflow platform adoption. Focus on teaching technical concepts, identifying recurring customer friction, and turning it into webinars, workshops, documentation, and reusable programs that improve customer independence.
Location: New York, San Francisco, or remote within the United States. The role primarily operates during US daytime hours and requires attendance at some synchronous weekly meetings. In-person onboarding takes place at the New York or San Francisco hub.
Company
builds computer vision tools and helps practitioners create, train, evaluate, and deploy computer vision applications.
What you will do
- Develop and improve scalable technical enablement programs for self-serve customers, covering onboarding, annotation, dataset management, model training, evaluation, workflows, deployments, and workspace administration.
- Host recurring webinars, technical workshops, office hours, clinics, and other live educational sessions.
- Deliver structured one-to-one targeted enablement programs for qualifying Corporate customers.
- Create reusable documentation, videos, walkthroughs, recordings, learning journeys, and reference materials.
- Identify recurring customer questions and friction, then turn them into scalable programs and product or support improvements.
- Monitor customer activation and engagement signals and measure the effectiveness of enablement programs.
Requirements
- Working knowledge of computer vision and machine learning, including datasets, annotation, model training, evaluation, and inference.
- Comfort using Python, APIs, notebooks, and common developer tools.
- Understanding of precision, recall, confidence thresholds, confusion matrices, dataset quality, annotation strategy, dataset versioning, and model performance issues.
- Ability to demonstrate workflows and explain technical concepts clearly to customers with different levels of ML experience.
- Ability to plan and deliver structured one-to-one sessions, webinars, workshops, and other customer-facing technical programs.
- Strong written and verbal communication, workload management, pattern recognition, and technical content creation skills.
Nice to have
- Experience with or contributions to the ecosystem.
- Background in Customer Success, technical enablement, Developer Relations, technical education, Solutions Engineering, or technical Support.
- Experience creating tutorials, videos, workshops, documentation, or developer courses.
- Experience with product-led growth, self-service SaaS customers, product telemetry, or customer activation data.
Culture & Benefits
- Remote work from within the United States, with optional use of company hubs and coworking spaces.
- Relocation bonus and opportunities to work in person with teammates during team onsites.
- $4,000 annual travel stipend and $350 monthly productivity stipend.
- Health insurance coverage of up to 100% for the employee and eligible partner or family.
- Company equity and opportunities to learn about computer vision, the product, customers, and the business.
- Distributed team across the United States and Europe with a focus on diverse perspectives.
Hiring process
- Onboard in person with the manager at the New York or San Francisco hub.
- Complete the core self-serve journey and shadow customer enablement and Support interactions.
- Progress to independently owning recurring group enablement programs and one-to-one targeted enablement engagements.
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