AI Solutions Engineer — Enterprise Troubleshooter & Advocate

stan; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health benefits

Company MacBook

Free parking and shuttle service

Extra PTO during US holidays

Company events and in-office perks

Unlimited ping pong

Job summary

STAN is hiring a Solutions Engineer in Toronto to own the technical health of deployments end-to-end, diagnosing AI issues by reviewing conversation logs, refining prompts, and collaborating with engineering for fixes, then explaining results to customers.

You will sit at the intersection of product, engineering, and customer success, troubleshooting AI systems and communicating clearly with executives and stakeholders.

Qualifications

• 3+ years in SaaS (preferred) with professional services or solutions engineering background.
• Strong understanding of AI/LLM prompts, context, and model behavior.
• Basic backend skills: APIs, webhooks, reading logs, SQL queries, light scripting.

Responsibilities

• Serve as the primary technical contact for a portfolio of enterprise accounts; join calls, own follow-through, build trust with stakeholders.
• Troubleshoot AI behavior through prompt engineering; diagnose and iterate system prompts, escalation flows, and knowledge sources.
• Review conversation logs to identify failure patterns, quality gaps, and improvement opportunities.
• Configure, monitor, and troubleshoot back-office automations; diagnose where workflows break and fix them.
• Support integrations between STAN and customers' property management systems and enterprise apps; APIs, data flows, debugging.
• Run data analysis on conversation outcomes; provide clear reporting for customers and internal teams.
• Explain root causes, tradeoffs, and timelines to non-technical stakeholders clearly and credibly.
• Translate customer feedback into structured product input for engineering.

Skills

SaaS experience

Client-facing

Prompt engineering

Data analysis

Analytical thinking

Tools

SQL

Python basics

APIs

Job description

STAN is hiring a Solutions Engineer in Toronto to own the technical health of deployments end-to-end, diagnosing AI issues by reviewing conversation logs, refining prompts, and collaborating with engineering for fixes, then explaining results to customers.

You will sit at the intersection of product, engineering, and customer success, troubleshooting AI systems and communicating clearly with executives and stakeholders.