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Customer Success Engineer

Job

Refine Technology Inc

New York, NY (In Person)

Full-Time

Posted 2 days ago (Updated 12 hours ago) • Actively hiring

Expires 7/17/2026

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Job Description

Customer Success Engineer Summary:
We are seeking a Customer Success Engineer to join our team. This role will serve as the primary technical contact for onboarding and supporting our customers, ensuring seamless implementation of Refine's solutions and addressing customer needs with high-quality technical support.
Key Responsibilities:
Act as the technical point of contact during customer onboarding and integrations. Assist with technical troubleshooting and resolving customer issues. Collaborate closely with the engineering and product teams to relay feedback and drive product improvements. Create and maintain technical documentation and customer resources. Proactively monitor account health and drive customer success initiatives.
Qualifications:
2+ years experience in a technical customer-facing role (e.g., Solutions Engineer, Support Engineer, CS Engineer). Strong understanding of APIs, cloud services, and SaaS architecture. Excellent communication and problem-solving skills. Experience with tools like Postman, GitHub, and basic cloud infrastructure knowledge. Familiarity with ecommerce platforms and/or AI technologies is a plus. About Refine Refine is pioneering the next generation of search and discovery technology. We empower brands to transition from outdated, keyword-based search systems to cutting-edge AI-powered solutions. Our proprietary multimodal search model, R4E, integrates seamlessly with e-commerce platforms, enabling natural language queries and personalized search experiences. Starting with fashion e-commerce, Refine's vision is to lead the industry in product search, recommendation systems, and data pipelines for large language models and AI agents. Over the next few years, Refine aims to expand its reach across all e-commerce verticals, becoming the industry leader in AI-driven product search and recommendation systems. Our ultimate goal is to unify personalization and create data pipelines that drive innovation across AI platforms, transforming how consumers and businesses interact with digital storefronts.