Director, Product Management, Secops Detections, Google Cloud Security

Google Google · Big Tech · Sunnyvale, CA +3

Director of Product Management for SecOps Detections at Google Cloud Security, focusing on building an AI-powered security platform. The role involves defining product vision, collaborating with AI researchers and engineers to develop dynamic detection models, designing GenAI-driven automated workflows for security analysts, and integrating ML capabilities into massive telemetry streams. The goal is to shift Security Operations Centers from reactive to proactive by leveraging AI to identify and anticipate complex security threats.

What you'd actually do

  1. Lead the product vision for Google SecOps detection capabilities by prioritizing artificial intelligence and machine learning over traditional rules-based heuristics, driving the evolution toward an autonomous SOC.
  2. Collaborate closely with AI researchers, data scientists, and security engineering teams to develop and train dynamic detection models capable of identifying zero-day threats and sophisticated adversary tactics in real-time.
  3. Design intelligent, automated workflows that leverage Generative AI to provide instant context, automate triage, and recommend remediation steps, fundamentally reducing cognitive load for security analysts.
  4. Lead the integration of advanced ML capabilities across massive, telemetry streams within Google SecOps, ensuring detection mechanisms scale efficiently with our enterprise customers' growing data environments.

Skills

Required

  • Product management experience
  • Enterprise software experience
  • Cloud technologies experience
  • Security products experience
  • AI/ML technologies application
  • Product vision and strategy setting

Nice to have

  • Experience working in a fast-paced, dynamic environment
  • Passion for solving complex problems
  • Excellent communication skills
  • Excellent people skills
  • Excellent leadership skills
  • Ability to influence and align senior leaders and large teams
  • Proven track record of successfully launching and scaling innovative, large-scale products

What the JD emphasized

  • AI-powered security platform
  • integrating AI into the core of its product
  • translating groundbreaking AI research into dynamic detection mechanisms
  • prioritizing artificial intelligence and machine learning over traditional rules-based heuristics
  • develop and train dynamic detection models
  • Design intelligent, automated workflows that leverage Generative AI
  • integration of advanced ML capabilities

Other signals

  • AI-powered security platform
  • integrating AI into the core of its product
  • translating groundbreaking AI research into dynamic detection mechanisms
  • prioritizing artificial intelligence and machine learning over traditional rules-based heuristics
  • develop and train dynamic detection models
  • Design intelligent, automated workflows that leverage Generative AI
  • integration of advanced ML capabilities