Enterprise AI Solutions Engineer - Post-Sale and Adoption

reindeer-ai

New York (NY)

On-site

USD 180,000 - 230,000

Full time

14 days+
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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.

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