Senior Product Line Manager (Application & Security Testing)

Keysight Technologies is seeking a senior product leader to set the vision and multi-year roadmap for Application and Security Testing solutions. This role will guide the evolution of the portfolio for AI-native attack surfaces, using expertise across AI agentic and LLM security domains while translating market and customer insights into measurable product outcomes.

Role Overview

Own and drive Keysight’s Application and Security Testing portfolio, focusing on security testing capabilities for AI-native environments. Lead efforts that connect customer problems, security research, and market trends to clear product requirements, priorities, and success metrics.

Key Responsibilities

• Define and own the Application and Security Testing portfolio.
• Translate customer problems, market trends, and security research into product requirements, priorities, and success metrics.
• Drive product evolution for AI-native attack surfaces, including agentic systems (agent-to-agent traffic, tool use, and identity and authorization between agents).
• Drive product evolution for AI-native attack surfaces, including LLM applications and front-end model and user security (prompt injection, jailbreaks, data leakage, and guardrail validation).
• Drive product evolution for AI-native attack surfaces, including AI infrastructure security (remote and disaggregated KV-cache, RAG pipelines and vector stores, and Model Context Protocol (MCP) servers and tool integrations).
• Lead the transition from engineering incubation to a scalable, revenue-generating offering.
• Own the full product lifecycle, including discovery, MVP definition, beta programs, GA launch, and continuous improvement.
• Establish product-market fit signals, packaging, pricing, and licensing models.
• Partner with Product Marketing on messaging, launches, analyst briefings, webinars, conference presence, and thought leadership focused on AI security positioning.
• Own planning, release management, and cross-functional execution across Engineering, Research, QA, UX, Sales, and Support.
• Run a disciplined cadence of roadmap reviews, sprint planning, and stakeholder communication.
• Balance short-term commitments with long-term architectural and strategic investments.
• Own product P&L or revenue targets, including forecasting, pipeline contribution, and adoption and retention metrics.
• Partner with Sales and Customer Success on deal strategy, expansion, and renewals.
• Maintain deep awareness of the competitive landscape across AppSec testing, AI application security, and AI infrastructure security offerings.
• Build positioning, battlecards, and differentiation strategy, and communicate them to the field.

Required Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Data Science or a related field.
• 10+ years product management experience in the security industry with strong technical depth in inline security such as network or next-gen firewalls, WAF, zero trust, cloud security, or AI guardrails.
• Working knowledge of AI and agentic security, including securing agent-to-agent traffic, tool access, and delegated actions.
• Working knowledge of LLM risks including prompt injection, data leakage, jailbreaks, and model guardrails.
• Working knowledge of AI infrastructure security including remote and shared KV-cache, securing RAG pipelines (data poisoning, access control on retrieved content), and MCP servers and tool integrations.
• Working knowledge of front-end model and user security including runtime protection, guardrail enforcement, and securing user-facing AI interfaces.
• Experience with security products built for massive traffic volumes (high throughput, low latency, scale-up or scale-out architectures).
• Demonstrated experience with roadmap planning, program management, and cross-functional leadership.
• Track record of owning revenue or business outcomes for a product line.
• Strong competitive analysis skills and ability to craft differentiated positioning.
• Hands-on experience with customer outreach and outbound marketing (launches, enablement, field engagement, events).
• Excellent written and verbal communication, including the ability to brief executives and technical practitioners.

Relevant Technologies

• Agent-to-agent traffic, Tool use, Identity and authorization between agents
• Prompt injection, Jailbreaks, Data leakage, Guardrail validation
• Remote and disaggregated KV-cache, RAG pipelines, Vector stores
• Model Context Protocol (MCP) servers, Tool integrations
• Network or next-gen firewalls, WAF, Zero trust, Cloud security, AI guardrails
• Scale-up or scale-out architectures
• AI red-teaming, Breach and attack simulation, DAST, SAST, IAST, API testing
• OWASP Top 10 for LLM Applications, MITRE ATLAS, MITRE ATT&CK, NIST AI RMF
• CI/CD, DevSecOps

Benefits

• Medical, dental and vision
• Health Savings Account
• Health Care and Dependent Care Flexible Spending Accounts
• Life, Accident, Disability insurance
• Business Travel Accident and Business Travel Health
• 401(k) Plan
• Flexible Time Off, Paid Holidays
• Paid Family Leave
• Discounts, Perks
• Tuition Reimbursement
• Adoption Assistance
• ESPP (Employee Stock Purchase Plan)

Preferred Qualifications

• Experience with security testing tools (AI red-teaming, breach and attack simulation, DAST, SAST, IAST, API testing).
• Understanding of OWASP Top 10 for LLM Applications, MITRE ATLAS and ATT&CK, NIST AI RMF, and the OWASP Top 10.
• Familiarity with CI/CD and DevSecOps workflows and how security testing fits into them.
• Background in engineering, security research, or a technical degree (or equivalent experience).

Location and Compensation

• Location: Calabasas, CA (onsite)
• Salary: USD 153,090 - 255,150 per yearly