Solutions Engineer in Toronto

This is a solutions engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why — digging through conversation logs, refining prompts, analyzing data, and working with engineering on fixes — then you get on a call and explain it to the customer in plain language. You sit at the intersection of product, engineering, and customer success: technical enough to troubleshoot the AI yourself, communicative enough to be your customers' most trusted point of contact.

About Us: STAN is the largest provider of AI solutions for HOA and Condo Property Managers. We are using cutting-edge and patented artificial intelligence technology to build solutions that enhance life for residents of more than 2.5 million+ homes across North America. And, we are on a mission to build the world’s first AI property manager.

Tasks:

• Serve as the primary technical contact for a small portfolio of enterprise accounts — joining regular customer calls, owning follow-through, and building trusted relationships with stakeholders.
• Troubleshoot conversational AI behavior through prompt engineering: diagnose why the assistant responded a certain way, then iterate on system prompts, escalation flows, and knowledge sources to fix it.
• Review voice and chat conversation logs to identify failure patterns, quality gaps, and improvement opportunities.
• Configure, monitor, and troubleshoot Manager AI back-office automations — diagnosing where workflows break down and getting them back on track.
• Support integrations between STAN and each customer's property management system (PMS) and enterprise applications — APIs, data flows, and debugging across the stack.
• Run data analysis on conversation and automation outcomes — resolution rates, escalation rates, ticket quality — and turn findings into clear, decision-ready reporting for customers and internal teams.
• Explain complex technical situations to non-technical stakeholders: root causes, tradeoffs, and timelines, delivered clearly and credibly.
• Translate customer feedback and recurring issues into structured product input for engineering.

Requirements:

• 3+ years in SaaS (preferred), ideally in professional services, technical account management, solutions engineering, or a forward-deployed engineering role.
• Real technical depth with AI/LLM-based products: you understand how prompts, context, and model behavior interact, and you troubleshoot systematically rather than by guesswork.
• Basic backend engineering skills — comfortable with APIs, webhooks, reading logs, querying data (SQL), and light scripting (Python or similar).
• Strong analytical instincts: you can take raw conversation or ticket data and produce a defensible read on what's actually happening.
• Excellent client-facing communication — calm under pressure, credible with executives, precise without jargon.
• Ownership mentality: you close loops, flag risks early, and are comfortable being the accountable name on an enterprise relationship.

Nice to Have:

• Experience with conversational AI, voice AI, or contact center technology.
• Workflow automation or systems integration experience.
• Exposure to property management software (Yardi, AppFolio, Vantaca, CINC) or the HOA/community management industry.
• Prompt engineering experience in a production environment.

Benefits:

• Competitive salary.
• Comprehensive health, dental, and specialist benefits.
• Company Macbook.
• Free parking and shuttle service to the office.
• Extra PTO during occasional US holidays.
• Company events, in-office restaurant, and building-wide perks.
• Unlimited ping pong and espresso!

If you're a closer who is passionate about AI and ready to disrupt a massive industry, we want to talk to you!