Senior Product Line Manager (Application & Security Testing)
Keysight Technologies
Calabasas, CA · Posted November 3, 2026
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- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
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Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Keysight is seeking a product leader to drive vision, strategy, and multi-year roadmap for its Application and Security Testing solutions. The role will be responsible for evolving the portfolio to cover AI-native attack surfaces, requiring expertise in AI agentic, LLM, and security domains combined with the ability to translate market trends, customer insights, and cross‑functional collaboration into high‑impact product innovation.
Responsibilities
Define and own Keysight’s Application and Security Testing portfolio.
Translate customer problems, market trends, and security research into clear requirements, priorities, and success metrics.
Drive the product’s evolution to cover AI-native attack surfaces, including:
Agentic systems (agent-to-agent traffic, tool use, identity and authorization between agents)
LLM applications and front-end model and user security (prompt injection, jailbreaks, data leakage, guardrail validation)
AI infrastructure security (remote and disaggregated KV-cache, RAG pipelines and vector stores, and Model Context Protocol (MCP) servers and tool integrations)
Lead the product’s transition from engineering incubation to a scalable, revenue-generating offering.
Own the full lifecycle: discovery, MVP definition, beta programs, GA launch, and continuous improvement.
Establish product-market fit signals, packaging, pricing, and licensing models.
Work with Product Marketing on messaging, launches, analyst briefings, webinars, conference presence, and thought leadership, with a focus 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 the 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 a deep understanding 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.
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:
Agentic security and agentic workflows: securing agent-to-agent traffic, tool access, and delegated actions
LLM risks: prompt injection, data leakage, jailbreaks, and model guardrails
AI infrastructure security: securing remote and shared KV-cache, RAG pipelines (data poisoning, access control on retrieved content), and MCP servers and tool integrations
Front-end model and user security: 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 the 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 alike.
Preferred Qualification Requirements
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).
Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Pay is based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed below.
California pay range: MIN $153,090 - MAX $255,150
Note: For other locations, pay ranges will vary by region
This role is eligible for Keysight Results Bonus Program
US Employees may be eligible for the following 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)
Define and own Keysight’s Application and Security Testing portfolio.
Translate customer problems, market trends, and security research into clear requirements, priorities, and success metrics.
Drive the product’s evolution to cover AI-native attack surfaces, including:
Agentic systems (agent-to-agent traffic, tool use, identity and authorization between agents)
LLM applications and front-end model and user security (prompt injection, jailbreaks, data leakage, guardrail validation)
AI infrastructure security (remote and disaggregated KV-cache, RAG pipelines and vector stores, and Model Context Protocol (MCP) servers and tool integrations)
Lead the product’s transition from engineering incubation to a scalable, revenue-generating offering.
Own the full lifecycle: discovery, MVP definition, beta programs, GA launch, and continuous improvement.
Establish product-market fit signals, packaging, pricing, and licensing models.
Work with Product Marketing on messaging, launches, analyst briefings, webinars, conference presence, and thought leadership, with a focus 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 the 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 a deep understanding 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.
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:
Agentic security and agentic workflows: securing agent-to-agent traffic, tool access, and delegated actions
LLM risks: prompt injection, data leakage, jailbreaks, and model guardrails
AI infrastructure security: securing remote and shared KV-cache, RAG pipelines (data poisoning, access control on retrieved content), and MCP servers and tool integrations
Front-end model and user security: 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 the 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 alike.
Preferred Qualification Requirements
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).
Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Pay is based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed below.
California pay range: MIN $153,090 - MAX $255,150
Note: For other locations, pay ranges will vary by region
This role is eligible for Keysight Results Bonus Program
US Employees may be eligible for the following 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)