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Sales Engineer
CISPA Helmholtz Center for Information SecuritySales Engineer at Empirical Security managing technical aspects of enterprise sales. Collaborating with account executives and presenting predictive security models to clients.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical sales engineering, with a strong ability to communicate complex statistical concepts and vulnerability management tools to diverse audiences. Proficient in Python and SQL for data analysis and visualization, while effectively bridging customer needs with product development.
Highest-signal resume keywords
Technical Sales EngineeringVulnerability Management StackPython ProgrammingSQL Data AnalysisRFP Technical Writing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ROC CurvesCalibrationBase RatesData VisualizationProofs of Value
Soft Skills
Customer CommunicationStakeholder EngagementProblem SolvingPresentation Skills
Tools & Technologies
TenableQualysRapid7ServiceNowJira
Industry Keywords
Enterprise Security SoftwareExploit PredictionCVE ListSecurity QuestionnairesArchitecture Reviews
Tech Stack
Tools & technologiesPythonServiceNowSQL
About the role
Key responsibilities & impact- Own the technical side of the sales cycle from discovery through close, working shoulder-to-shoulder with an account executive on every named opportunity.
- Run live demos of the Empirical Global and Local models against a prospect's own CVE list, and translate what the score is doing into language a practitioner can act on.
- Design and execute proofs of value that measure Empirical against whatever the customer is using today, whether that is CVSS, KEV, a competing scoring product, or a homegrown model.
- Write the technical response to RFPs, security questionnaires, and architecture reviews without needing three weeks and a red team of internal reviewers.
- Serve as the bridge between the customer and Empirical's data science and product teams, feeding real deployment friction back into the roadmap.
- Present at trade shows, customer roundtables, and analyst briefings when the situation calls for a technical voice in the room.
Requirements
What you’ll need- You have three or more years as a sales engineer, solutions architect, or technical account manager at an enterprise security software company.
- You can hold your own in a conversation about ROC curves, calibration, and base rates, and you can explain any of them to a security director who does not want a statistics lecture.
- You have hands-on comfort with the vulnerability management stack, including scanners like Tenable, Qualys, or Rapid7, and ticketing and workflow tools like ServiceNow and Jira.
- You can write enough Python or SQL to pull a customer's data into a notebook, run a comparison, and put a chart in front of the account team the same afternoon.
- You are comfortable in front of a whiteboard with a skeptical CISO, and you know when to push back on a bad requirement rather than nod through it.
- You have worked at a smaller startup, or you are genuinely excited about what it takes to help a phenomenal one grow.
- Extra credit if you have familiarity with EPSS, the Prioritization to Prediction research series, or the broader body of work on exploit prediction.
Benefits
Comp & perks- Health insurance
- Professional development