Apply on company website Toronto, Canada On-site Full-time USD 80,000 – 110,000 / year

STAN AI is hiring a Solutions Engineer

Responsibilities

  • 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!
Required Skills
Conversational AI
Job Details
Location Toronto, Canada
Work mode On-site
Employment Full-time
Salary USD 80,000 – 110,000 / year
Department Engineering
Category other
Posted a month ago
Application On company website
About company
STAN AI logo

STAN transforms workflows into intelligent, automated assistants for property management, helping community managers focus on building better communities.

Designed specifically for CAMs (Community Association Managers), STAN handles day-to-day operations across multiple channels, including email, text, and phone, with AI agents trained on community-specific materials.

The platform offers tools like 24/7 homeowner support, automated meeting minutes, legal document drafting, budget tracking, and emergency triage, streamlining operations for HOAs, multifamily units, student housing, and more.

STAN integrates directly with existing property management systems, enabling seamless adoption without third-party apps.

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