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