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Senior Product Manager GenAI Security
ActiveFence
Ramat Gan, Tel Aviv District, IsraelOn Site
Original Job Summary
Overview
The Senior Product Manager GenAI Security at ActiveFence will lead the strategy, vision and execution of our Security product for Generative AI applications. This role defines and builds next generation AI security controls for safe, responsible, and scalable GenAI use.
Key Responsibilities
- Own the full product lifecycle from vision to delivery.
- Define and evolve the product vision aligned with company goals and customer needs.
- Collaborate with engineering, design, data science, customer success, marketing and sales teams.
- Conduct regular user interviews to convert needs into product opportunities.
- Prioritize using data and make trade-offs in an emerging category.
- Lead product discovery in ambiguous, technically complex domains.
- Set success metrics and drive measurable outcomes.
- Champion customer obsession and ship impactful solutions.
Requirements
- 5+ years of product management experience with at least 2 years in security products.
- Experience with AI/ML or GenAI environment products.
- Data-driven, user-obsessed and strong communicator.
- Comfortable with ambiguity and leading cross-functional teams.
- Bonus: Experience with LLM frameworks like LangChain, RAG, vector DBs.
About ActiveFence
ActiveFence is a leader in security and safety solutions for online experiences, safeguarding over 3 billion users, top foundation models and the largest enterprises globally. The company empowers security, AI, and policy teams with real-time guardrails and continuous red teaming to tackle emerging threat techniques across 117+ languages.
Key skills/competency
- Product Management
- Security
- GenAI
- Strategy
- Data-driven
- User Research
- Cross-functional Collaboration
- AI/ML
- Communication
- Ambiguity Handling
How to Get Hired at ActiveFence
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant product and security experience.
- Research ActiveFence: Understand their mission and product ecosystem.
- Showcase technical skills: Emphasize GenAI or AI/ML experience.
- Prepare for ambiguity: Practice examples of handling complex projects.
📝 Interview Preparation Advice
Technical Preparation
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Review GenAI security fundamentals.
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Study LLM frameworks basics.
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Practice product roadmap development.
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Analyze data-driven decision metrics.
Behavioral Questions
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Describe a challenging product decision.
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Explain managing ambiguity in projects.
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Discuss cross-team conflict resolution.
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Share experience in user-centered design.