Founding Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Founding Solutions Engineer (AI): Building and owning the enterprise customer motion for an early-stage startup with an accent on technical deployment, integration, and scaling AI-driven solutions. Focus on translating complex business requirements into operational workflows, managing end-to-end post-sale delivery, and collaborating with R&D to drive product adoption.
Location: Must be based in or able to work from NYC (Hybrid)
Salary: $180,000–$230,000 OTE
Company
is a well-funded, early-stage startup focused on building complex, AI-driven enterprise solutions.
What you will do
- Engage with customers post-close to analyze operational workflows and define deployment requirements.
- Configure and integrate AI components into tailored enterprise workflows.
- Own end-to-end solution deployment, ensuring models meet performance and business value expectations.
- Lead integrations with enterprise systems like Finance and ERP platforms.
- Guide customers through security, compliance, and IT approval processes.
- Collaborate with R&D to close data gaps and extend product capabilities based on customer needs.
Requirements
- 7+ years of experience in Solutions Engineering, Implementation Engineering, or Technical Consulting.
- Strong understanding of AI concepts and their enterprise applications.
- Experience supporting deployments across cloud environments and enterprise system integrations.
- Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.
- Excellent communication and stakeholder management skills.
- Ability to translate business needs into technical solutions.
Nice to have
- Experience with process mining, workflow mapping, or operational analytics.
- Familiarity with enterprise platforms.
- Financial services industry experience.
Culture & Benefits
- Opportunity to join as a founding team member in a well-funded startup environment.
- Direct partnership with founders, Product, and R&D teams.
- Hands-on role with significant impact on the evolution of the delivery function.
- Fast-moving, collaborative environment focused on real-world AI application.
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