AI Solutions Engineer for Enterprise & Customer Success

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

Benefits offered by this job

Free parking

Company events

Unlimited ping pong

Office perks

Job summary

STAN AI is seeking a Solutions Engineer to own the technical health of deployments end to end. You’ll diagnose failures, refine prompts, analyze data, and collaborate with engineering to implement fixes.

You will be the trusted technical contact on enterprise accounts, joining calls and translating insights for non-technical stakeholders. The role sits at the intersection of product, engineering, and customer success, requiring both deep AI knowledge and strong communication.

Qualifications

• 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 and troubleshooting systematically.
• Basic backend engineering skills — comfortable with APIs, webhooks, reading logs, querying data (SQL), and light scripting (Python).
• Strong analytical instincts and excellent client-facing communication.

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

Skills

SaaS experience

Client-facing

Analytical thinking

Prompt engineering

API / Webhooks

SQL

Python scripting

Ownership

Executive communication

Tools

APIs

Webhooks

Logging analysis

Job description

STAN AI is seeking a Solutions Engineer to own the technical health of deployments end to end. You’ll diagnose failures, refine prompts, analyze data, and collaborate with engineering to implement fixes.

You will be the trusted technical contact on enterprise accounts, joining calls and translating insights for non-technical stakeholders. The role sits at the intersection of product, engineering, and customer success, requiring both deep AI knowledge and strong communication.