Technical Product Marketing Manager

Description

Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we’re looking for people who want to be a part of the next rocket-ship in cyber.

We’re hiring a Technical Product Marketing Manager with strong technical depth and field awareness. This is a hands-on, practitioner-focused role at the intersection of product, sales, and customer engagement. You should be comfortable going deep on technical topics, building narratives from real-world experience, and treating competitive intelligence as a core function.

WHAT YOU WILL DO

Technical Storytelling & Messaging

• 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.

Field & Customer Engagement

• 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.

Competitive Intelligence

• 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.

Sales & SE Enablement

• 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.

Technical Alliances & Partner GTM

• Develop integration narratives and “better together” stories with technology partners.
• Support partner enablement, channel GTM, and co-marketing from concept through execution.

Product Domain GTM & Launches

• 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

WHAT YOU WILL BRING

Technical Fluency

• 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.

SecOps Domain Expertise

• 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.

Storytelling from Experience

• Ability to build narratives grounded in real-world experience, not templates.
• Comfort communicating with both technical practitioners and executives without losing credibility.

Execution & Launch Experience

• 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.

AI Fluency

• Experience using AI tools (e.g., Claude, Claude Code) as part of daily workflows across research, writing, and analysis.