Customer Success Engineer – AI & Testing

About the Role

We’re looking for a Technical Customer Success Engineer to help our customers succeed with AI-driven testing in real production environments. This is a hands-on, technical role for someone with QA or automation experience who wants to work closely with customers, build test coverage, debug failures, and learn how AI agents behave in real-world scenarios. You’ll start by shadowing experienced Solution Engineers and gradually take ownership of customers, pilots, and test strategies.

If you enjoy solving real-world problems, love direct customer interaction, and are excited to learn fast, this role is designed to grow with you.

What You’ll 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

• 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

What Makes This Role Unique

• Work at the intersection of AI, QA/test automation, and customer-facing engineering

• Shape how AI agents behave in production by designing, debugging, and optimizing tests

• Not a static role: you’ll go far beyond supporting software and play a direct part in shaping customer outcomes

• Early and deep exposure to both prompt engineering and real-world use cases

What Success Looks Like

• First 3 months: Shadow Solution Engineers, write and debug tests, support customer pilots, and develop deep understanding of Spur

• By 6 months: Independently own customer pilots or accounts, improve coverage and reliability, debug complex issues, and suggest workflow enhancements

• By 9–12 months: Operate as a Solution Engineer, lead technical conversations, own customer test strategy, and influence product and AI behavior through customer feedback

What We’re Looking For

We value mindset and fundamentals over perfect resumes.

Must Have:

• 3–4 years’ experience in manual testing, QA, or test automation

• Strong understanding of web applications and browser behavior

• Comfort debugging failures and navigating edge cases

• Clear communication skills and empathy for customers

• Curiosity and willingness to learn new tools, processes, and AI concepts

Nice to Have:

• Automation experience with any framework

• Basic scripting knowledge or eagerness to learn

• Exposure to CI/CD or API testing

• Interest in AI, LLMs, or prompt engineering

You don’t need to be an AI expert—you need an appetite to learn and help customers thrive.

Compensation & Benefits

• Equity package

• Benefits offering (Gym & Wellness Stipends, Meal Stipends, OffSites)

• In-person role based in our NYC office

Spur is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical or mental disability, marital status, sexual orientation, gender identity or expression, or any other protected status.