Technical Customer Success Engineer
BridgeHealthAI
Location
New York City
Employment Type
Full time
Location Type
On-site
Department
Spur
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 a Technical background who wants to work closely with customers, obsess over metrics and drive product growth.
You’ll start by shadowing experienced Solution Engineers, working closely with our Account Executives, 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
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
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 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 - We are an AI first company and use AI in every aspect of our workflow and GTM team
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
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.