Product Manager – Agentic AI Security at Radware

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

0.0

Posted On

22 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI Security, Large Language Models, Agentic AI, Cybersecurity, Product Strategy, Threat Detection, RAG, Multi-agent Systems, Model Context Protocol, Risk Management, Application Security, Cloud Security, Market Research, Go-to-market Strategy, Competitive Analysis

Industry

Computer and Network Security

Description

Radware is a global leader of cyber security and application delivery solutions for physical, cloud, and software defined data centers. At Radware, we live and breathe cybersecurity. It is our passion. Each day, our international team works to earn the trust of more than 12,500 organizations around the globe. Keeping them safe is our mission. To that end, we go head-to-head with politically motivated hacktivists, dangerous nation-state threat actors and other notorious cyber attackers -these are not your average adversaries. Backed by nearly 30 years of experience, Radware is best known for its technical excellence and innovative network and application security solutions. That is why it is so important that we build our team with bold and bright talent. What is the job: We are seeking a Product Manager to lead the development of security solutions for the next generation of Agentic AI systems. As AI evolves from chat interfaces into autonomous agents capable of reasoning, planning, taking actions, and interacting with external tools, data, and services, new security challenges emerge that require innovative approaches. This role sits at the intersection of AI, cybersecurity, and product strategy. The ideal candidate understands the rapidly evolving AI ecosystem, including foundation models, AI agents, MCPs, tool integrations, retrieval systems, and multi-agent architectures, and can translate emerging threats into compelling security products. What will you do? Define and execute the product strategy for Agentic AI security offerings. Develop deep expertise in agentic architectures, AI workflows, tool ecosystems, and autonomous decision-making systems. Identify emerging risks associated with AI agents, including prompt injection, tool abuse, data exfiltration, model manipulation, identity misuse, privilege escalation, and autonomous attack chains. Work closely with security researchers, AI engineers, platform teams, and customers to understand evolving threat landscapes. Translate customer requirements and security challenges into product requirements, roadmaps, and go-to-market strategies. Analyze trends in the AI economy, including agent marketplaces, AI-native applications, AI infrastructure, MCP ecosystems, and enterprise AI adoption. Define product capabilities for detection, prevention, monitoring, governance, and runtime protection of AI agents. Drive customer discovery, competitive analysis, and market research across the AI security landscape. Establish success metrics and continuously optimize product performance and customer outcomes. Collaborate with engineering, design, sales, and marketing teams to deliver impactful solutions. What you need: 3+ years of Product Management experience in cybersecurity, AI/ML, cloud platforms, or related technical domains. Strong understanding of modern AI systems, including: Large Language Models (LLMs) AI agents and agent frameworks Tool use and function calling Retrieval-Augmented Generation (RAG) Multi-agent systems Model Context Protocol (MCP) and emerging agent standards AI infrastructure and deployment architectures Strong understanding of cybersecurity concepts, including identity, application security, cloud security, threat detection, and risk management. Ability to understand and communicate complex technical concepts to both technical and business audiences. Experience defining product strategy and delivering products from concept to launch. Experience building products for AI security, application security, cloud security, or security operations. Familiarity with leading agent frameworks and AI platforms. Understanding of AI-specific attack vectors, including: Prompt injection, Jailbreaking, Data leakage, Tool poisoning, Agent hijacking, Supply chain attacks on AI systems, Model and context manipulation etc. Experience working with security researchers, red teams, or threat intelligence teams. Background in machine learning, security engineering, or software architecture – advantage Why you should join us: Employees from more than 40 countries have chosen Radware as a place where they can belong. Radware has been recognized by Glassdoor and BDI as one of the World’s Best Places to Work, ranking among the top 100 companies across the globe in the IT category. Radware has also been named a Gold Winner for Application Security in the 2023 Globee Cybersecurity Awards, by Forrester a Leader in DDoS Protection, and has been named a Leader in WAF Market by Quadrant Knowledge Solutions. We are equally committed to our people. We strive to create a dynamic work environment that celebrates diversity, promotes equality, and thrives on the unique contributions of each individual. If you are ready to be part of a global-minded company that is inspired to create a better, safer future; and if and want to fight for the good guys and be at the forefront of helping companies protect their most critical assets from today’s cyber adversaries, then you’ve found the right fit at Radware.

Responsibilities

Lead the development of security solutions for autonomous Agentic AI systems by defining product strategy and roadmaps. Identify emerging AI risks and collaborate with engineering and security teams to build detection and prevention capabilities.