Solutions Engineer, Canada

gleanwork

United States

Remote

USD 135,000 - 190,000

Full time

10 days ago

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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
401(k) plan
Home-office stipend
Education stipend
Wellness stipend
Team events
Daily lunches

Job summary

gleanwork is seeking a customer-facing solutions engineer to help Canadian enterprise customers bridge business and technical needs with an AI-powered workplace platform. You will collaborate with sales through complex cycles, lead discovery, tailor demonstrations, conduct technical evaluations, and discuss security and value with stakeholders.

Remote role based in Canada; you’ll build ROI analyses, support product feedback, and align customer requirements with engineering and security teams to

Qualifications

  • 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.

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.

Skills

Python
Java
API integrations
Communication

Education

Bachelor's degree in computer science or related field

Tools

GCP
AWS
Azure

Job description

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.

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