Enterprise AI Solutions Engineer - Post-Sale and Adoption

reindeer-ai; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

reindeer-ai in New York, NY is seeking a hands-on, technically deep Solutions Engineer to own the post-sale customer journey, from deployment to adoption and expansion. You will work closely with founders, Product, and R&D to deploy AI-driven enterprise solutions in real-world environments.

Ideal candidates have 7+ years in implementation engineering or similar roles, strong analytical and communication skills, and experience with cloud deployments and enterprise integrations.

Qualifications

• 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or similar post-sale customer-facing role.
• Strong analytical skills with the ability to translate business needs into technical solutions.
• Strong understanding of AI concepts and their enterprise applications.
• High adoption of modern AI tools and workflows.
• Experience supporting deployments across cloud environments and enterprise system integrations.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.

Responsibilities

• Customer Onboarding & Process Analysis: Engage with customers post-close to understand workflows, operational processes, and deployment requirements.
• Translate findings into clear implementation plans for AI-powered solutions.

Skills

Analytical skills

AI concepts

AI tools

Communication

Stakeholder management

Solution delivery

Post-sale experience

Job description

reindeer-ai in New York, NY is seeking a hands-on, technically deep Solutions Engineer to own the post-sale customer journey, from deployment to adoption and expansion. You will work closely with founders, Product, and R&D to deploy AI-driven enterprise solutions in real-world environments.

Ideal candidates have 7+ years in implementation engineering or similar roles, strong analytical and communication skills, and experience with cloud deployments and enterprise integrations.