AI Solutions Specialist (SaaS)

TL;DR

AI Solutions Specialist (SaaS): Building and maintaining agentic workflows and automations to scale customer success processes with an accent on prompt engineering and workflow orchestration. Focus on translating business needs into intelligent, data-driven solutions using no-code/low-code tools and LLM APIs.

Location: Must be based in the USA or Canada

Salary: $85,500–$95,000

Company

A leading provider of cloud-based software solutions for the senior care continuum.

What you will do

• Identify high-impact opportunities for AI agents to improve customer adoption and operational efficiency.
• Design and execute AI-driven customer success programs, including automated interventions and digital journeys.
• Translate business requirements into functional prototypes using no-code/low-code tools and LLM APIs.
• Develop and iterate on prompt engineering strategies to maximize model accuracy and performance.
• Monitor AI program performance metrics and translate data into actionable improvements.
• Partner cross-functionally to embed AI capabilities into core customer engagement strategies.

Requirements

• Must be based in the USA or Canada
• Solid understanding of AI/LLM concepts and ability to translate agentic capabilities into business outcomes.
• Practical experience with workflow automation tools like n8n, Make, or Zapier.
• Analytical ability to interpret platform telemetry and performance dashboards.
• Experience with CRM or Customer Success platforms such as Salesforce or Gainsight.
• Strong communication skills to present technical AI outcomes to business stakeholders.

Nice to have

• 2–4 years of experience in Customer Success, support operations, or SaaS professional services.
• Domain expertise in healthcare, EHR ecosystems, or clinical data workflows.
• Hands-on experience with RAG patterns and evaluation frameworks.
• Familiarity with compliance and privacy constraints like HIPAA or SOC 2.

Culture & Benefits

• Comprehensive total rewards package including bonus and benefits.
• Opportunity to work on strategic AI initiatives in a regulated enterprise environment.
• Collaborative culture spanning Product, Engineering, and Customer Experience teams.
• Focus on innovation and continuous learning in emerging AI frameworks.