Senior Technical Product Marketing Manager

Wiz Wiz · Enterprise · United States · Remote · Brand & Product

Senior Technical Product Marketing Manager with deep, hands-on experience in areas including AI infrastructure and governance, Kubernetes, cloud platforms, DevOps, cloud security, and data protection. Will lead strategic technical narratives, own GTM efforts, and mentor others on content and enablement.

What you'd actually do

  1. Own technical go-to-market for strategic areas
  2. Define and execute the technical marketing plan for one or more product areas, from launch to scale.
  3. Lead technical storytelling and content development: Drive the creation of deep-dive blogs, demo environments, whitepapers, technical sessions, and diagrams — grounded in hands-on expertise.
  4. Build cross-functional influence: Be a key partner to Product, PMM, Sales Engineering, and Enablement. Help define messaging, guide roadmap feedback, and scale GTM impact.
  5. Enable the field and drive adoption: Create and deliver tools that drive sales conversations and help customers adopt the platform: battlecards, investigation flows, objection handling, workshops.

Skills

Required

  • 7–10+ years in technical marketing, DevRel, product marketing, or solutions engineering — or equivalent hands-on roles in cloud or security
  • Deep subject matter expertise in one or more areas: Kubernetes / containers / cloud-native infra, DevOps and CI/CD pipelines, Cloud platforms (AWS, Azure, GCP), Threat detection, incident response, or security operations, AI architecture, model governance, or responsible AI, Data privacy, access control, and compliance
  • A strong portfolio of technical assets: demos, blogs, diagrams, training sessions, etc.
  • Excellent communication skills: ability to write, present, and translate technical depth into business value.
  • Track record of cross-functional collaboration and GTM execution.
  • Strategic thinking and self-directed execution — you lead with impact, not activity.

What the JD emphasized

  • AI infrastructure and governance
  • AI architecture, model governance, or responsible AI