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Technical Customer Success Engineer

Pear VCNew York CityPosted Mar 28, 2026
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Mar 28
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Ashby
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Job description

Customer Success Engineer

Spur builds fundamental technology for the future of QA: autonomous browser agents that think, explore, validate, and self-heal like real users. We’re not another test tool — we’re reimagining how digital teams ship with confidence.

The market has responded loudly. Top brands (Alo Yoga, Living Spaces, HelloFresh, Nextdoor, Abercrombie & Fitch, and more) are actively pulling us in. Inbound demand is exploding. Sales cycles are fast. And the product actually delivers — teams go live in days, not months.

We’re a small, elite team of builders from DeepMind, Figma, ex-founders and customers — shipping at a pace that big companies can’t touch.

Our Mission: We want to help our customers deliver the best digital experiences
Read our Manifesto: https://www.spurtest.com/manifesto

Interview Process: https://fuzzy-gate-f84.notion.site/How-We-Hire-Customer-Success-Engineer-339ae376ae678197be0ad32f9467d580?pvs=74

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.

View original posting on Ashby

What applying to Pear VC usually looks like

Based on publicly available information, candidates applying through Ashby for roles at Pear VC can typically expect a structured online application, often followed by an initial screening conversation with a recruiter or talent team member. The process may include multiple stages, such as functional or role-specific interviews, take-home assessments, or case studies depending on the position, and possibly a conversation with hiring managers or team members who would be close collaborators. Ashby-based processes commonly allow candidates to track application status through an online portal and may include automated updates at various stages. Response times vary and can depend on role seniority and hiring volume. Candidates should generally prepare to discuss relevant experience, technical or domain skills, and motivation for the role, while understanding that exact steps and pacing can differ by team and position.

Based on publicly available information. LandEarly does not verify interview process details.

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Technical Customer Success Engineer
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