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Artemis

Sales Engineer

Remote (Remote)$250k–$280kfulltimemidAdded today

About this role

Artemis is seeking a Sales Engineer to drive enterprise cybersecurity deals by serving as the technical bridge between customers and the company's AI-driven defense platform. You'll lead technical discovery, architect proof-of-value engagements, and guide security teams through complex evaluations while partnering closely with Account Executives.

What you'll do

  • Lead technical deep dives and tailored demos for enterprise security teams
  • Conduct discovery to map customer security posture, existing tools, and integration requirements
  • Design customer-specific solutions addressing technical, security, compliance, and business needs
  • Own pre-sales technical strategy and collaborate with Account Executives on deal progression
  • Support POVs and pilots, addressing technical objections and deployment best practices
  • Lead responses to security questionnaires, RFPs, and vendor risk assessments

What they're looking for

  • Sales engineering and pre-sales technical consulting in cybersecurity
  • Modern security architecture (identity, endpoint, network, cloud)
  • SIEM, EDR/XDR, SOAR platforms and log sources
  • MITRE ATT&CK framework and threat modeling
  • APIs, Python, Bash scripting, and query languages (KQL, SPL, SQL)
  • Enterprise sales cycle management and stakeholder engagement
  • Security compliance frameworks (SOC 2, ISO 27001, GDPR, HIPAA)
  • Technical communication across technical and executive audiences

Benefits

  • Impact cybersecurity defense globally
  • Work with industry experts from Google, AWS, Meta, and leading security firms
  • Backed by First Round Capital and prominent cybersecurity operators
  • Learn from founders with track records at Palo Alto Networks, AWS, Abnormal Security
  • Remote work arrangement
  • Opportunity to shape product roadmap through customer insights
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Artemis

Artemis builds an AI-driven cybersecurity platform that detects and defends against modern threats using large-scale LLM systems and intelligent threat detection. The company is hiring product engineers, security researchers, and ML engineers to develop full-stack customer-facing features, AI-powered security detections, and scalable infrastructure for processing security data.

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Likely interview questions

  • Walk us through a complex enterprise deal you closed—what was the key technical objection and how did you overcome it?
  • Describe your approach to discovering a customer's security architecture and mapping it to our solution.
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