Customer Success Engineer

Hidden Jobs; United States; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Travel stipend

Home office stipend

Health insurance

Equity

NY/SF onboarding

Job summary

Hidden Jobs in the United States is seeking a customer-facing technical enablement professional to support a computer vision ML platform used by a broad developer community. You will educate customers, run webinars and workshops, and provide structured one-on-one guidance to move from experimentation to production.

You will translate recurring questions into scalable resources, collaborate with product, support, and engineering to feed insights back into the platform, and maintain a hands-on,

Qualifications

• Background in a customer-facing technical role such as customer success, technical enablement, developer relations, support, or solutions engineering.
• Comfort teaching technical concepts live, creating clear educational material, and guiding customers through unfamiliar workflows.
• Strong pattern recognition: ability to spot repeated questions and convert them into scalable resources.

Responsibilities

• Teach customers how to work with datasets, annotations, model training, evaluation, and the broader platform, both live and through written or recorded content.
• Run scalable enablement programs such as webinars, onboarding sessions, technical workshops, clinics, office hours, and learning journeys.
• Deliver structured, time-bound one-on-one enablement engagements for qualifying corporate customers who need deeper guidance.
• Identify recurring points of friction across customers and turn those insights into reusable guides, videos, workflows, or programs that reduce future support load.
• Provide clear, prescriptive guidance while preserving the boundaries of a scalable self-serve customer experience.
• Collaborate with product, support, and engineering teams to feed customer insights back into platform improvements.

Skills

Customer-facing

Teaching technical concepts

Educational material creation

Pattern recognition

Empathy & written comms

Autonomy & accountability

Builder mindset

Education

CS/Engineering background

Tools

Open source contributions

Job description

Role overview

This is a customer-facing technical enablement role focused on a computer vision machine learning platform used by a large developer community. The mission is to help self-serve and corporate customers move from early experimentation to confident production use through scalable education and structured one-on-one guidance, rather than solving the same problem repeatedly.

Responsibilities

• Teach customers how to work with datasets, annotations, model training, evaluation, and the broader platform, both live and through written or recorded content.
• Run scalable enablement programs such as webinars, onboarding sessions, technical workshops, clinics, office hours, and learning journeys.
• Deliver structured, time-bound one-on-one enablement engagements for qualifying corporate customers who need deeper guidance.
• Identify recurring points of friction across customers and turn those insights into reusable guides, videos, workflows, or programs that reduce future support load.
• Provide clear, prescriptive guidance while preserving the boundaries of a scalable self-serve customer experience.
• Collaborate with product, support, and engineering teams to feed customer insights back into platform improvements.

Requirements

• Background in a customer-facing technical role such as customer success, technical enablement, developer relations, support, or solutions engineering.
• Comfort teaching technical concepts live, creating clear educational material, and guiding customers through unfamiliar workflows.
• Strong pattern recognition: ability to spot repeated questions and convert them into scalable resources instead of one-off answers.
• Empathy and clear written communication suited to remote, asynchronous relationships.
• Hands-on curiosity about new technology and a bias toward showing work over talking about it.
• High autonomy, accountability, and a builder mindset in a distributed team environment.

Nice to have

• Prior hands-on experience building with a computer vision or ML platform, including contributing to open source projects.

Benefits and work setup

• Annual travel stipend for visiting teammates in person.
• Monthly productivity stipend for home office or co-working expenses.
• Health insurance coverage for the employee and dependents, with the company covering the majority of the premium.
• Equity in the company.
• Distributed team with hubs in New York and San Francisco, and an in-person onboarding week with the hiring manager.
• Structured onboarding milestones at one week, one month, and six months to ramp into independent ownership of enablement programs.