Senior Product Manager – AI Safety and Security

Cisco

. Own a significant AI Security product domain within Cisco AI Defense, with accountability for customer outcomes, strategy, roadmap, execution, launch, adoption, and evolution .

Posted 10/23/2026full-timeSan Jose • California • United StatesSenior💰 $194,600 - $285,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI Security product management, including strategy development, customer engagement, and cross-functional collaboration. Proficient in translating complex AI technologies and market insights into actionable product roadmaps and measurable outcomes.

Highest-signal resume keywords

AI Security Product ManagementEnterprise SaaS Product DevelopmentMulti-Quarter Product StrategyTechnical Fluency with APIs and SDKsCustomer Engagement and Adoption

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product StrategyRoadmap DevelopmentCompetitive AnalysisAI/ML SystemsCloud ArchitecturesDistributed SystemsTechnical Trade-Off AnalysisProduct JudgmentEmerging Technology EvaluationSecurity Efficacy Measurement

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationInfluencing StakeholdersMentoringCollaboration

Tools & Technologies

Foundation ModelsOpen-Weight ModelsAI ApplicationsAgentic FrameworksCloud AI PlatformsModel APIsSDKsDeveloper PlatformsEnterprise Software PlatformsAI Gateways

Industry Keywords

AI GovernanceAI Supply Chain SecurityAI Validation and Red TeamingApplication SecurityBehavioral Security

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed Systems

About the role

Key responsibilities & impact

Own a significant AI Security product domain within Cisco AI Defense, with accountability for customer outcomes, strategy, roadmap, execution, launch, adoption, and evolution
Shape 12–18 month product strategy and longer-term vision
Develop expertise across the AI Security lifecycle to identify product adjacencies, customer problems, and market opportunities
Translate changes in foundation models, open-weight models, agents, agentic frameworks, AI infrastructure, and security techniques into product implications and investment decisions
Translate strategy into multi-quarter roadmaps with measurable outcomes, priorities, milestones, dependencies, and investment choices
Lead customer discovery with enterprise security leaders, AI/ML teams, developers, application owners, risk teams, and partners
Synthesize customer and market requirements into scalable product and architectural decisions
Analyze competitive platforms and emerging vendors to influence product strategy and roadmap decisions
Collaborate with Engineering, Design, Security Research, and Architecture to prototype emerging approaches and turn promising technologies into enterprise capabilities
Evaluate modern AI architectures and technologies including foundation models, open-weight models, AI applications, agents, agentic frameworks, model APIs, RAG, MCP, AI gateways, SDKs, cloud AI platforms, and distributed deployment environments
Turn emerging AI Security problems into reusable platform capabilities, product primitives, workflows, and ecosystem integrations
Drive technical and product trade-offs across security efficacy, customer experience, architecture, scalability, performance, cost, privacy, deployment models, technical debt, and time to market
Define and use measurable outcomes spanning customer value, adoption, usage, security efficacy, product quality, operational performance, and business impact
Influence strategy and roadmap decisions beyond the immediate product area
Create alignment across Engineering, Product, Design, Security Research, Product Marketing, Sales, Customer Experience, partners, and other Cisco organizations
Serve as a senior AI Security domain leader with strategic customers, partners, ecosystem participants, and Cisco leadership
Translate product capabilities and technology shifts into positioning and technical narratives for Sales, SEs, partners, and customers
Raise the effectiveness of the broader Product organization through product judgment, technical depth, mentoring, customer insight, and high standards

Requirements

What you’ll need

Bachelor’s degree with 12+ years, Master’s degree with 8+ years, or PhD with 5+ years of related experience
Product management experience building and managing enterprise SaaS products
End-to-end ownership spanning product strategy, discovery, requirements, roadmap, delivery, launch, and customer adoption
Experience owning technically complex products or significant product domains
Experience working with Engineering, Architecture, Design, and/or Research teams on significant product and technical decisions
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
Understanding of the AI ecosystem, including foundation models, open-weight models, AI applications, agents, agentic frameworks, developer platforms, AI infrastructure, and model serving
Experience in AI Security domains such as AI governance, AI supply chain security, AI validation and red teaming, runtime protection and guardrails, application security, model security, identity, policy, or behavioral security
Technical fluency with APIs, SDKs, cloud architectures, distributed systems, AI/ML systems, developer workflows, integrations, and enterprise software platforms
Ability to reason about AI Security threats, architectures, emerging technologies, and technical trade-offs
Ability to identify market opportunities and product adjacencies and translate emerging technologies, competitive changes, and customer patterns into products or platform capabilities
Experience conducting competitive analysis covering architecture, differentiation, ecosystem position, business model, and product strategy implications
Strong product judgment and ability to make investment and prioritization decisions under ambiguity
Track record of driving execution, launch readiness, customer adoption, measurement, and iteration
Ability to influence senior Engineering, Research, Design, GTM, partner, and product stakeholders across organizational boundaries
Strong written and verbal communication skills

Benefits

Comp & perks

Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
Cisco restricted stock unit grants may be available, subject to continued employment and vesting periods
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation time per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees, subject to availability and business limitations
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco’s policies
Performance-based incentive pay for sales-plan employees
Opportunities to grow and build through Cisco’s worldwide network of experts