Solutions Engineer, Canada

Role overview

Help enterprise customers in Canada connect business and technical needs to practical outcomes from an AI-powered workplace platform. As a customer-facing solutions engineer, you’ll partner with sales colleagues across complex deal cycles, leading discovery, tailored demonstrations, technical evaluations, security discussions, and business-value conversations.

Responsibilities - Partner with account executives through multi-stakeholder sales cycles, including conversations with executive decision-makers. - Lead discovery to understand customer goals, workflows, technical requirements, stakeholders, and success measures. - Configure tailored customer environments and demonstrate solutions relevant to each customer’s industry and use cases. - Plan and manage technical proofs of concept, agreeing on scope, success criteria, and next steps with customers. - Lead technical and security discussions, addressing concerns and building confidence in the solution’s fit. - Develop ROI analyses, business cases, and presentations that link technical capabilities to customer outcomes. - Work with product and engineering teams to relay customer feedback, represent customer needs, and support requests.

Requirements - Five or more years in sales engineering, solutions engineering, or solutions consulting at a SaaS company. - Bachelor’s degree in computer science or a related field. - Experience partnering with account executives on technical sales cycles for enterprise customers. - Consultative customer approach and a record of addressing technical and security objections. - Familiarity with at least one major cloud environment: GCP, AWS, or Azure. - Proficiency in Python or Java, and ability to configure, monitor, and maintain API-based integrations. - Strong written and verbal communication, self-direction, and ability to work in a fast-paced, collaborative team.

Benefits and work setup - Remote role based in Canada. The stated annual on-target earnings range is $135,000–$190,000 USD; actual compensation depends on location, level, knowledge, skills, and experience. Some roles may include variable pay, equity, and benefits. - Medical, dental, and vision coverage, paid time off, and access to a 401(k) plan. - Home-office, education, and wellness stipends, plus regular team events and daily lunches. - The interview process includes a brief exercise or discussion about applying AI in the role.