Solution Architect – Toronto

Canada - Toronto, ON

Description

Solutions Architect - Toronto

Location: Remote in Greater Toronto Area

At Armis, our Solutions Architects (SA) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do

Work closely with our prospects to:

  • Provide virtual and in-person technical demonstrations
  • Deploy proof-of-value installations
  • Lead technical training sessions based on POV findings
  • Support marketing activities, conferences, speaking engagements
  • Consistently and cogently address our prospects needs through astute verbal and written communication skills
  • Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
  • Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
  • Develop prospect facing documentation
  • Expected to travel up to 40% of the time on average (can vary by region)

Requirements

Requirements:

Education:

BS degrees in computer science, MIS, or equivalent experience required

Experience:

5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor

5+ years of experience in customer-facing or customer support positions

Solid understanding of networking concepts and technologies

A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes

Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

IoT, OT, IoMT

Wireless technologies (WLCs, Meraki, Aruba, etc.)

Linux Operating Systems

Virtualized environments

Network knowledge

Utility Scripting (Python preferred)

Apply for this position