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Keysight Technologies

Manufactures test equipment and measurement software

Senior Product Line Manager - Application & Security Testing

Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field is required.
  • At least 10 years of product management experience in the security industry, with strong technical depth in inline security such as network or next-generation firewalls, web application firewalls, 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; addressing large language model risks such as prompt injection, data leakage, and jailbreaks; and applying model guardrails.
  • Working knowledge of AI infrastructure security, including remote and shared key-value caches, retrieval-augmented generation pipelines, data poisoning, access control on retrieved content, Model Context Protocol 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, including high throughput, low latency, and scale-up or scale-out architectures.
  • Demonstrated experience with roadmap planning, program management, and cross-functional leadership.
  • A 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, including launches, enablement, field engagement, and events.
  • Written and verbal communication skills sufficient to brief executives and technical practitioners.

Responsibilities

  • Define and own the 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 and agent-to-agent traffic, tool use, identity, and authorization between agents; large language model applications and front-end model and user security, including prompt injection, jailbreaks, data leakage, and guardrail validation; and AI infrastructure security, including remote and disaggregated key-value caches, retrieval-augmented generation pipelines and vector stores, and Model Context Protocol servers and tool integrations.
  • Lead the product's transition from engineering incubation to a scalable, revenue-generating offering.
  • Own the product lifecycle, including discovery, minimum viable product definition, beta programs, general availability 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, focusing on AI security positioning.
  • Own planning, release management, and cross-functional execution across Engineering, Research, Quality Assurance, User Experience, Sales, and Support.
  • Run roadmap reviews, sprint planning, and stakeholder communication on a disciplined cadence.
  • Balance short-term commitments with long-term architectural and strategic investments.
  • Own product profit-and-loss 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 application security testing, AI application security, and AI infrastructure security offerings.
  • Build positioning, battlecards, and differentiation strategy, and communicate them to the field.

Desired Qualifications

  • Experience with security testing tools, including AI red-teaming, breach and attack simulation, dynamic application security testing, static application security testing, interactive application security testing, and API testing.
  • Understanding of the OWASP Top 10 for Large Language Model Applications, MITRE ATLAS and ATT&CK, the NIST AI Risk Management Framework, and the OWASP Top 10.
  • Familiarity with continuous integration and continuous delivery and DevSecOps workflows, and how security testing fits into them.
  • A background in engineering or security research, or a technical degree (or equivalent experience).

About the Company

Keysight Technologies

Manufactures test equipment and measurement software

Keysight Technologies provides test and measurement equipment for electronics development and deployment. It sells high-precision hardware instruments (such as oscilloscopes, network analyzers, and signal generators) and software that support design, test, and validation of electronic systems, with focus areas including electronic design, e-mobility, network monitoring, and 5G. The products work by combining measurement hardware with analytics software to collect, analyze, and visualize test data across design, verification, and maintenance workflows. The company differentiates itself with a broad, industry-grade instrument portfolio, integrated end-to-end software, and ongoing services and support, including involvement in 6G development, to help speed digitalization and product deployment.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Rosa, CA
Founded
1939

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