Customer Success Manager
Hybrid (New York, NY)$140k - $200kFull-timePosted 3w ago
About the role
AI-native ATS/CRM for recruiting firms. Role focuses on onboarding, ongoing support, and customer success activities for Spott’s SMB clients in a fast-growing YC startup environment.
Responsibilities
- Lead onboarding and implementation for SMB clients, from setup to go-live
- Provide day-to-day customer support across email, chat, and calls, troubleshooting issues and resolving questions quickly
- Gather customer feedback and work with the product team to improve the product
- Work closely with one of the founders to improve internal processes and operations to ensure efficiency
Qualifications
- Master’s degree in Engineering, Economics, Communications or a related field
- 2+ years in Customer Success, Onboarding, Customer Support or a similar client-facing SaaS role
- Clear, confident verbal and written communication skills in English (Dutch/French are a plus)
- Growth mindset - eager to learn, experiment, and expand your knowledge
- Experience with recruitment tech or in recruiting, especially agency recruiting, is a plus
Skills
Required:OnboardingCustomer support
Nice to have:Feedback collection
Benefits
- Competitive salary and generous stock options
- The chance to grow with us and achieve your career aspirations
- Great team vibe with regular dinners, sports activities and international offsites
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Spott
AI-native ATS/CRM for recruiting firms
Spott is the first AI-native ATS/CRM for recruiting & staffing firms. We built Spott because existing recruitment platforms require extensive manual work, are clunky to use, rely on fragmented add-ons, and are not designed for AI adoption. Spott combines everything recruiting firms need, from a full ATS & CRM to AI agents across the entire workflow, into one AI-native solution. It enables recruiters to focus on what matters most and close more placements.
artificial-intelligencesaasb2bhr-techenterprise-software
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