Senior Product Manager, AI Safety and Security

Cisco

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CAMilpitas, CASan Francisco, CA
Salary
$194,600–$285,700 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today
Closes
Nov 27, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $240k
$153k $300k
below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $177,900–$226,850 — the blue band above. At the midpoint, this role pays about $240k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 307 open roles on FindRole.

Listed pay typically runs $167,700–$245,000 across 224 roles with salary data.

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At a glance

TL;DR · Senior Product Manager, AI Safety and Security

The Senior Product Manager - AI Safety and Security will join the team to own a significant AI Security product domain within Cisco AI Defense. This role involves end-to-end accountability for product strategy, roadmap execution, and customer outcomes. You will lead customer discovery with enterprise security leaders and AI/ML teams to translate complex requirements into scalable architectural decisions. Day-to-day responsibilities include identifying emerging threats, managing multi-quarter roadmaps, and collaborating with Engineering and Research to prototype new capabilities. You must demonstrate technical depth in foundation models, open-weight models, agentic frameworks, RAG, and AI gateways. The role focuses on solving critical AI security problems, including governance, supply chain security, and runtime protection, while balancing trade-offs between security efficacy, scalability, performance, and privacy across the broader AI Security portfolio.

What does a Product Manager earn in California?

Median $222500 from 327 postings across 57 companies.

See salary data

What you'll do

  • Own the end-to-end strategy, roadmap, and execution for a significant AI Security product domain.
  • Develop a 12–18 month product strategy integrating AI technologies, cybersecurity trends, and competitive dynamics.
  • Lead customer discovery with enterprise security leaders to synthesize requirements into scalable architectural decisions.
  • Work with Engineering and Research to prototype emerging AI technologies and turn them into enterprise capabilities.
  • Drive technical and product trade-offs regarding security efficacy, scalability, performance, cost, and privacy.
  • Define and monitor measurable product outcomes including customer adoption, security efficacy, and business impact.
  • Create alignment across cross-functional teams on product strategy, architecture, and execution priorities.
  • Translate complex technology shifts into clear positioning and technical narratives for Sales and partners.

What we're looking for

  • Bachelor’s degree with 12+ years, Master’s degree with 8+ years, or PhD with 5+ years of related experience.
  • Experience building and managing enterprise SaaS products with end-to-end ownership of strategy, discovery, roadmap, delivery, launch, and adoption.
  • Experience owning technically complex products or domains while working directly with Engineering, Architecture, Design, and Research teams.
  • Experience working directly with enterprise customers to understand complex problems, establish product direction, validate strategy, and drive adoption.
  • Experience developing multi-quarter product strategies and influencing execution across multiple teams, product areas, or organizational boundaries.
  • Experience building AI/ML, Generative AI, agentic AI, cybersecurity, cloud, developer platform, or application security products (preferred).
  • Demonstrated understanding of the AI ecosystem, including foundation models, open-weight models, AI applications, agents, agentic frameworks, and AI infrastructure (preferred).
  • Experience in AI Security domains such as AI governance, supply chain security, red teaming, runtime protection, or model security (preferred).

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