Pear-VC

Technical Customer Success Engineer - Spur

New York City. Posted 7 months ago

The role

A Technical Customer Success Engineer will help customers adopt and succeed with Spur's AI-driven testing platform. You will author and maintain AI-powered test flows, debug failed tests, and partner with Account Executives to support pilots and production usage.

What you will do

  • Work directly with customers to help them adopt and succeed with Spur's AI-driven testing platform
  • Author, maintain, and improve AI-powered test flows for customer applications
  • Debug failed tests and investigate AI agent behaviors in customer environments
  • Support pilots and production usage by improving test reliability and coverage
  • Monitor and track customer activity, engagement and relay product feedback to design and engineering teams
  • Translate customer intent into effective prompts and workflows
  • Partner with Account Executives during onboarding, demos, and spurring sessions
  • Provide clear technical explanations to both technical and non-technical users
  • Feed real-world learnings back into product and engineering to drive platform improvement
  • Gradually take full ownership of customer accounts and lead technical conversations

Required qualifications

  • 3–4 years experience in Customer Success Roles
  • Comfort with Technical Concepts
  • Customer Obsession & Being able to handle multiple accounts and context switch
  • Strong understanding of web applications and browser behavior
  • Clear communication skills and empathy for customers
  • Curiosity and willingness to learn new tools, processes, and AI concepts
  • AI Comfort

Nice to have

  • Automation experience with any framework
  • QA / Testing Experience
  • Basic scripting knowledge or eagerness to learn
  • Exposure to CI/CD or API testing
  • Interest in AI, LLMs, or prompt engineering

Benefits

  • Equity package
  • Gym & Wellness Stipends
  • Meal Stipends
  • OffSites

About the company

Spur builds fundamental technology for the future of QA using autonomous browser agents. The team consists of builders from DeepMind, Figma, ex-founders and customers.