Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
Own the technical health of AI deployments end-to-end, troubleshooting issues, refining prompts, analyzing data, and communicating solutions to customers in plain language. Sit at the intersection of product, engineering, and customer success.
Responsibilities
- Serve as the primary technical contact for a small portfolio of enterprise accounts, joining customer calls, owning follow-through, and building trusted relationships.
- Troubleshoot conversational AI behavior through prompt engineering, diagnosing issues and iterating on system prompts, escalation flows, and knowledge sources.
- 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 and resolving workflow breakdowns.
- Support integrations between STAN and customer systems (PMS, enterprise applications) including APIs, data flows, and debugging.
- Run data analysis on conversation and automation outcomes, turning findings into clear reporting for customers and internal teams.
- Explain complex technical situations to non-technical stakeholders, including root causes, tradeoffs, and timelines.
- 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, understanding prompt, context, and model behavior interactions.
- Basic backend engineering skills including comfort with APIs, webhooks, reading logs, querying data (SQL), and light scripting (Python or similar).
- Strong analytical instincts to interpret raw data and identify trends.
- Excellent client-facing communication skills, remaining calm under pressure and credible with executives.
- Ownership mentality, closing loops, flagging risks early, and accountability for enterprise relationships.
Skills
- Prompt engineering
- Conversational AI
- Voice AI
- Contact center technology
- Workflow automation
- Systems integration
- Property management software (Yardi, AppFolio, Vantaca, CINC)
- HOA/community management industry
- SQL
- Python
Location
- North America
Work Type
- Full-time
Experience Level
- Senior
Salary/Compensations
- Competitive salary
Benefits
- 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!
About the Company
- STAN is the largest provider of AI solutions for HOA and Condo Property Managers.
- Utilizes cutting-edge and patented artificial intelligence technology.
- Enhances life for residents of more than 2.5 million+ homes across North America.
- Mission to build the world’s first AI property manager.
- Award-winning platform recognized by Rogers, FedEx, George Brown College, StartUp Canada, and the Waterloo Accelerator Centre.