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Customer Solutions Engineer (AI)
Описание вакансии
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TL;DR
Customer Solutions Engineer (AI): Serving as a technical bridge between enterprise customers and product/engineering teams, focusing on presale and postsale technical support and integration design. Focus on delivering product demos, scoping integration architectures, and building proof-of-concept integrations for enterprise clients.
Location: New York, NY, USA
Company
A B2B SaaS and fintech company specializing in a platform with APIs and AI agent capabilities.
What you will do
- Lead technical discovery sessions and deliver live product demos to enterprise prospects.
- Scope and design integration architectures, mapping ’s APIs to customer systems (ERPs, e-commerce).
- Author technical sections for RFP responses and security questionnaires.
- Build proof-of-concept integrations and prototypes to accelerate deal closure.
- Translate complex buyer technical requirements into clear internal specifications for Product and Engineering.
- Support enterprise customers through integration launch, troubleshooting API issues, and unblocking technical blockers.
Requirements
- 3–5 years of experience in a Solutions Engineering, Sales Engineering, Technical Consulting, or similar customer-facing technical role.
- Experience at a B2B SaaS or fintech company.
- API fluency across RESTful APIs, webhooks, and third-party integrations.
- Familiarity with agentic AI, LLMs, and agentic workflows in enterprise software.
- Strong communication skills to translate between technical and internal teams.
- Exposure to enterprise sales cycles with large, complex buyers.
Nice to have
- Experience in B2B payments, lending, invoicing, or accounts receivable.
- Familiarity with ERP systems (NetSuite, QuickBooks) and e-commerce platforms.
- Experience working with or building on AI agent frameworks (LangChain, LangGraph).
- Background in writing technical documentation, integration guides, or developer-facing content.
Culture & Benefits
- Role sits within the Revenue organization.
- Manage ambiguity and prioritize across multiple deals independently.
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