Note: The job is a remote job and is open to candidates in USA. Clearly AI is hiring a Sales Engineer to own the technical side of enterprise sales for its continuous threat modeling platform. The role leads technical discovery, tailored demos, proofs of value, and enterprise security and architecture discussions, then turns evaluation feedback into reusable resources for the team and engineering.

Responsibilities

• Go deep on how a prospect runs reviews today, and spot which part will break before they do
• Push on the stated request to find the real goal. Often the right answer is smaller than what they asked for
• Build demos on their own use case and artifacts, not a generic sandbox
• Turn vague asks like "less effort" or "reasonable quality" into criteria a POV can pass or fail
• Stand up tenants, load their knowledge, queue historical and live cases
• Run the midpoint check and the technical readout against what the customer signed
• Own the architecture questions that decide enterprise deals: tenancy and data isolation, SSO/SAML/SCIM, deployment patterns, model providers, data residency, audit defensibility
• Answer accuracy and hallucination objections with evidence, and carry our security posture through their vendor review
• Explain honestly where we fit against threat modeling tools, scanners, GRC platforms, and building it in-house
• Turn evaluation friction into specific, reproducible feedback for engineering
• Build the demo environments, POV templates, and technical answers the team can use without you

Skills

• Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future
• 5+ years either running security and privacy reviews for large enterprises, or in a sales engineering, solutions architecture, or technical pre-sales role selling to security teams
• Command of enterprise security architecture: tenancy and data isolation, data residency, AI governance
• Ability to speak the language of security practitioners (STRIDE, DPIA, TPRM, CVE, SSDLC)
• Experience running a multi-week technical engagement to a deadline without it drifting
• Familiarity with Jira, ServiceNow, GitHub, Confluence, or OneTrust, and how review workflows live inside them
• Clear writing. Success criteria, test plans, and readouts are the deliverables here
• Hands-on experience with threat modeling, privacy impact assessments, or vendor risk assessments
• Working knowledge of enterprise identity and deployment plumbing: SSO/SAML/SCIM, IP allowlisting, model providers
• Experience working in early-stage startups

Benefits

• Remote work is OK; Seattle/SF preferred, with in-person meetings 1–2 times per quarter.
• 0.1%–0.5% equity

Company Overview