Responsibilities

• Develop clear, differentiated messaging for technically complex cybersecurity products.
• Craft demo narratives tied to real attack scenarios, SecOps workflows, and measurable outcomes - not just feature walkthroughs.
• Write from both a practitioner and marketing perspective, with credibility across Detection Engineers, SOC Analysts, Data Engineers, and Security Architects.
• Act as a trusted technical voice with customers and prospects - including architecture discussions and data infrastructure.
• Partner closely with Sales and Solution Engineering, and at times lead technical conversations.
• Represent Vega at conferences, partner events, and field engagements. Some Travel required.
• Build technical competitive analysis across product capabilities, architecture tradeoffs, detection coverage, and cost.
• Run win/loss analysis and maintain live competitive tracking (battlecards, Gong insights, field feedback).
• Treat competitive intelligence as an ongoing, operational function.
• Support enablement through training, pitch decks, objection handling, and demo playbooks.

Requirements

• 4+ years of experience in a relevant cybersecurity company
• Understanding of query languages (especially KQL) and how AI can bridge across systems.
• Familiarity with AWS, Azure, GCP, and object storage (S3, ADLS, GCS).
• Exposure to security data infrastructure (pipelines, data lakes, normalization, detection content) is a plus.
• Understanding of SOC workflows across detection engineering, data engineering, and security architecture.
• Familiarity with SIEM, XDR, SOAR, EDR, and modern data lake architectures.
• Experience with or against vendors like Splunk, CrowdStrike, Panther, Chronicl Elastic, etc.
• Ability to build narratives grounded in real-world experience, not templates.
• Comfort communicating with both technical practitioners and executives without losing credibility.
• Experience supporting successful product or feature launches in B2B cybersecurity.