Pre-Sales Solutions Architect: Cloud, Kubernetes & Demos

Overnox

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Overnox is seeking a Solutions Architect to serve as the technical face of the sales cycle, aligning proposed solutions with a customer's environment and goals. You will run POCs, handle technical objections, and build lasting trust with prospects.

In this role you will lead technical discovery, design tailored architectures, and translate field insights into actionable feedback for product and engineering.

Qualifications

  • Proven experience in a pre-sales, sales engineering, or customer-facing architecture role for a technical B2B offering.
  • Strong breadth across cloud infrastructure, Kubernetes, and modern application platforms.
  • Excellent presentation and demo skills, comfortable in front of engineers and executives.
  • Solid written communication for proposals, architecture diagrams, and follow-up collateral.
  • Track record of supporting deals through technical evaluation to close.

Responsibilities

  • Lead technical discovery with prospects to understand current architecture, pain points, and desired outcomes.
  • Design solution architectures and reference designs tailored to each prospect's stack and constraints.
  • Plan and execute POCs and technical evaluations that clearly demonstrate value and fit.
  • Handle technical objections throughout the sales cycle, partnering with account executives on deal strategy.
  • Translate field insights back into product, engineering, and marketing feedback.

Skills

Pre-sales experience
Cloud infrastructure
Kubernetes
Presentation skills
Demo skills
Written communication

Job description

Overnox is seeking a Solutions Architect to serve as the technical face of the sales cycle, aligning proposed solutions with a customer's environment and goals. You will run POCs, handle technical objections, and build lasting trust with prospects.

In this role you will lead technical discovery, design tailored architectures, and translate field insights into actionable feedback for product and engineering.

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