We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias.

The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America.

We are seeking a highly technical Solutions Engineer to join our team in Toronto. In this role, you will own the technical relationship with our customers, ensuring our AI integrates seamlessly into their enterprise environments and remains stable as they scale. You will work closely with cross-functional teams to design integrations, support production deployments, and resolve complex technical challenges virtually.

We have engineering hubs in New York City, Vancouver, and Toronto, and this role is 5 days per week onsite in our Toronto office. We optimize for people who like to think deeply, whiteboard with other sharp engineers, and ship ambitious systems together in person.

Join us at Owl.co and become an integral part of a forward-thinking team dedicated to transforming the insurance industry through technology. Your contributions will play a crucial role in enhancing our products and delivering value to our clients.

Key Responsibilities:

• Co-own the account (alongside Sales and Account Executives) from demos to prospects and POC development, all the way to production and post-production, serving as the primary engineering point of contact.

• Work with customers to integrate Owl’s core AI platform into their environments.

• Drive resolution of complex production challenges by tracing logs and debugging systems, collaborating with the broader technical team to deliver technical guidance while maintaining platform SLAs.

• Collaborate closely with Product and core Engineering teams to scope missing features, translate customer needs into technical specifications, and continuously improve the platform.

• Partner with Business Development to validate technical feasibility during complex sales cycles, scope pilots, and manage security/IT technical reviews.

Ideal Profile:

• 3+ years of experience in solutions engineering, or a highly technical customer-facing role at a SaaS company.

• Experience with cloud platforms (AWS or Azure), modern REST APIs, and observability tools for troubleshooting distributed systems.

• Comfortable running executive-level conversations and tailoring technical narratives to both developers and C-suite stakeholders.

• Strong problem-solving skills with a track record of independently diagnosing and resolving complex production issues.

• Located in Toronto and excited to work 5 days a week in-office with our local engineering team, while managing customer relationships virtually.

Benefits:

• Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.

• Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms.

• Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.

• Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

• Healthcare benefits: we cover 100% of the premiums for you and your family members (medical, dental & vision)

• RRSP matching to help you save for your future

• Recharge: 4 weeks of paid time off & 5 additional personal/sick days

• Daily team lunches

• Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to hang out with teammates IRL at least twice a year

Salary Range: $140,000 - $250,000 CAD Our salary ranges are benchmarked and are determined by role and level. The range displayed reflects a target for new hire salaries and could be higher or lower based on skills, experience, and location.