Czech Republic
EuropeSr Principal Product Manager
1 мес. назад
Czech RepublicEuropeLeadHybrid
aiproduct_managementstrategy
Senior Principal Product Manager responsible for defining and executing AI-native security strategy and building an agentic anti-virus platform.
Требования
- 10–15+ years of experience in Product Management
- Proven track record building products in cybersecurity, AI/ML platforms, or developer ecosystems
- Experience building platform products, including APIs, SDKs, and scalable systems
- Strong understanding of AI risks, security principles, and threat modeling
- Experience working across distributed, cross-functional teams in a matrix organization
- Ability to operate effectively in high-ambiguity, emerging categories
Другое
- The Senior Principal Product Manager – AI Security & Agentic Protection will own ’s AI-native security strategy, defining how we protect consumers in a world increasingly shaped by AI agents and autonomous systems.
- This is a high-impact role for a product leader who can think strategically and execute hands-on—shaping a new category of security while delivering scalable, real-world products.
- Define and build an agentic anti-virus platform for AI-driven environments
- Translate emerging AI risks into consumer-grade security capabilities
- Help position as a leader in AI safety, trust, and protection
- Sitting within the AI Competency Team, this role connects advanced AI innovation with practical consumer protection, ensuring security is continuous, adaptive, and frictionless.
- Own the vision, strategy, and execution of an agentic anti-virus platform
- Define protections across prompt integrity, agent behavior monitoring, policy enforcement, runtime safeguards, and supply chain trust
- Translate threats such as prompt injection, tool abuse, data leakage, and model poisoning into practical user-facing protections
- Build security that is real-time, adaptive, and largely invisible to the end user
- Shape ’s point of view on AI safety, agent trust, and governance frameworks
- Partner with research and engineering to turn advanced concepts into scalable systems
- Drive innovation in agent observability, trust scoring, risk modeling, and autonomous detection and response
- Move ideas from concept to capability to platform
- Define how protection capabilities integrate across products, third-party AI platforms, and developer ecosystems
- Enable deployment through APIs, SDKs, embedded services, MCP, and platform services
- Ensure protections fit naturally into workflows without disrupting the user experience
- Support partnerships and integrations with leading AI providers and platforms
- Monitor the evolving landscape of AI platforms, agent frameworks, and AI security players
- Identify market gaps and opportunities to define consumer-first AI security
- Translate insight into strategic bets and roadmap priorities
- Partner with Engineering and Architecture
- Work closely with engineering to build scalable, high-performance protection systems
- Align on real-time detection and response, privacy-preserving telemetry, and cross-platform interoperability
- Drive trade-offs across security effectiveness, latency, and user experience
- establishes leadership in AI-native consumer security
- The agentic anti-virus platform is adopted across products and ecosystems
- AI-driven threats and risks are measurably reduced
- Security is experienced as seamless and invisible
- achieves clear differentiation in AI safety and trust