
AI Solutions Specialist
Posted Jun 29

Posted Jun 29
This is a fully remote position, open to applicants in Canada.
• Identify significant opportunities where AI agents and automation can enhance customer adoption, retention, and operational efficiency.
• Develop and implement AI-driven customer success initiatives, including digital journeys, automated interventions, and workflows led by agents.
• Convert business requirements into functional prototypes and production-ready solutions utilizing no-code and low-code tools, LLM APIs, and prompt engineering.
• Foster ongoing optimization of AI programs by analyzing performance data and gathering customer feedback.
• Create and execute workflow orchestration pipelines using tools such as n8n, Make, Zapier, or custom logic layers.
• Seamlessly integrate AI solutions with enterprise platforms (Salesforce, Gainsight, Gong, Pendo) via APIs, webhooks, and middleware.
• Oversee data flows between systems, ensuring the reliability and scalability of AI-driven processes without the need for engineering support for routine modifications.
• Develop, test, and refine prompt engineering strategies to enhance model accuracy, consistency, and performance.
• Utilize RAG (Retrieval-Augmented Generation) patterns and evaluation frameworks to elevate solution quality.
• Track AI program performance (engagement, success rates, efficiency metrics) and convert data into actionable enhancements.
• Collaborate with Customer Success, Product, Engineering, Operations, and Enablement teams to integrate AI into fundamental workflows and customer engagement strategies.
• AI Fluency: A robust understanding of AI/LLM concepts with the ability to translate “agentic” capabilities into practical business outcomes without in-depth software engineering skills (AI Aptitude).
• Practical experience with workflow automation and orchestration tools (n8n, Make, Zapier, or similar) to connect systems and automate processes without writing production code (Workflow Automation).
• Analytical Fluency: Capability to interpret platform telemetry, usage data, and performance dashboards to derive actionable insights and recommendations (Analytics).
• Strategic Communication: Proficiency in presenting AI outcomes and program results to internal stakeholders, articulating technical capabilities in terms of business value (Communication).
• Sound judgment regarding responsible AI deployment — discerning where AI adds value and where human judgment is necessary, especially in regulated and customer-trust-sensitive environments (Judgment / Risk).
• Ownership mindset: A tendency toward execution, comfort with ambiguity, and a proven track record of following through on initiatives from start to finish (Ownership).
• Experience with CRM or Customer Success platforms (Salesforce, Gainsight, or similar) (Systems Knowledge).
• Ability to collaborate effectively across teams and influence without authority (Collaboration).
• Bachelor’s degree or an equivalent combination of education and relevant experience (Education).
• Bonus
• Benefits
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