Solutions Engineer, Canada

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.

• 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.

• 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.

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.