Technical Product Marketing Manager

Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. They are seeking a Technical Product Marketing Manager who will develop messaging for complex cybersecurity products, engage with customers, and provide competitive intelligence while supporting sales and technical alliances.

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
• Translate complex product capabilities into assets that help Sales and SEs win and expand deals
• Continuously refine materials based on field feedback and performance data
• Develop integration narratives and 'better together' stories with technology partners
• Support partner enablement, channel GTM, and co-marketing from concept through execution
• Contribute to GTM across Vega’s core product areas (Analytics, Detection, Triage, Integrations)
• Support launches as a way to drive pipeline and shape market perception
• Create technical content (blogs, solution briefs, whitepapers, webinars) with both depth and clarity

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)
• 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
• Demonstrated impact on sales through messaging, enablement, and demos
• Comfort operating in a fast-paced, high-growth environment
• Experience using AI tools (e.g., Claude, Claude Code) as part of daily workflows across research, writing, and analysis
• Exposure to security data infrastructure (pipelines, data lakes, normalization, detection content) is a plus