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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cybersecurity domains, including Application Security, Cloud Security, and Vulnerability Management, while effectively communicating complex concepts to both technical and executive audiences. Capable of designing AI-enabled security workflows and creating reusable assets to enhance customer engagement and product feedback.
Highest-signal resume keywords
Cybersecurity Domain ExpertiseCustomer-Facing Solutions EngineeringAI Workflow DesignDemo and Prototype DevelopmentEvidence-First Judgment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Application SecurityCloud SecurityVulnerability ManagementSecure SDLCIncident ResponseDetection EngineeringAPI DevelopmentCI/CD SystemsData HandlingGuardrails
Soft Skills
Clear CommunicationAdvisory SkillsProblem SolvingCollaborationCustomer Engagement
Tools & Technologies
CodexGitHub WorkflowsLogsTicketsScannersScriptsCLIs
Industry Keywords
DevSecOpsSOC/IRDetection EngineeringRed TeamGRC AutomationHuman-in-the-Loop ReviewEvaluation CriteriaSuccess Metrics
Tech Stack
Tools & technologiesCloudCyber SecuritySDLC
About the role
Key responsibilities & impact- Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation.
- Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows.
- Scope pilots with clear success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points.
- Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects.
- Translate between executive buyers and hands-on security practitioners, helping each audience understand value, risk, and practical next steps.
- Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
- Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams.
Requirements
What you’ll need- Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.
- Have worked in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role.
- Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling.
- Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review.
- Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
- Communicate clearly with both CISOs and hands-on practitioners.
- Have strong evidence-first judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating claims.
- Are excited to build leverage for the broader field by turning one-off customer work into repeatable assets and product feedback loops.
Benefits
Comp & perks- We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI.
- Background checks for applicants will be administered in accordance with applicable law.
