Product Engineer

People were meant to talk, not type. And when customers have problems, they want answers now — not after waiting on hold during the 40 hours a week businesses are actually open.

We're building digital employees for service businesses that talk to customers, answer questions, and solve problems. AI adoption in the businesses that sell goods and services to real people, not software companies, is below 1% today. The next two to three years will determine market leaders. We're building to be one of them.

We've raised $1M+ from operators who've built at scale:
Jason Warner (Poolside CEO, ex-Git Hub CTO), Lorrie Norrington (ex-eBay President, Hub Spot Chair), and Ryan Holmes (Hootsuite CEO), among others. We began by bootstrapping and have been generating revenue since day one.

You'll own large, ambiguous problems and ship and maintain production AI systems, starting with voice, used daily by businesses across North America. You'll work directly with the leadership team on both the product and the technical foundations as we scale, staying close to the people using our systems and translating what they need into what we build next.

We're building out our Vancouver headquarters and growing an AI-native team here. You'll be one of our earliest product-focused engineering hires in the city, with real ownership, real impact, and close connectivity to all critical aspects of the business.

• Architect and ship new capabilities for our agents based on customer feedback
• Improve conversation quality, latency, and reliability across the stack
• Expand the surface area of what our agents can do for customers and the operators behind them
• Help define what great looks like at Voice Valet: what we build, how we build it, and the bar we hold

• You build things and ship them. You have strong, well-formed opinions about LLMs and the tools you use to work with them.
• You're comfortable with ambiguity and don't wait for someone to hand you a spec.
• Great product taste — you care how things look, feel, and work for the operators using them every day.
• Comfortable understanding customer feedback and translating messy domain knowledge into clear product decisions.

• Experienced with object-oriented development (e.g., Python)
• LLM experience — prompting, model selection, working with APIs
• Experience with cloud systems (e.g., AWS, GCP)

• Workflow orchestration (e.g., Step Functions, n8n)
• Voice AI or telephony exposure
• Have shipped product to SMBs or service businesses

• True ownership over core architecture and product
• Direct collaboration with leadership who have deep domain expertise in both AI and service businesses
• Equity potential for exceptional contributors

$110K–$150K CAD + equity for exceptional contributors

• Technical conversation
• Offer