Sr. Product Manager (Device Security)

Palo Alto Networks•San Jose, CA

3d•$148,700 - $240,525•Onsite

About The Position

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Job Summary We're seeking a Senior Product Manager to define and advance our Device Security solution — an AI-first solution that discovers, assesses, and protects every managed, unmanaged, and IoT/OT device in organizations. You'll own product areas across our key pillars and drive cross-functional delivery from concept to launch. The ideal candidate brings deep experience in IoT/OT Security, Vulnerability Management, Network Security (NGFWs, NAC), Endpoint/EDR, or CTEM/CAASM/ASPM, — with a systems mindset, comfort in engineering-level discussions, and ability to lead customer-facing presentations. The nearterm roadmap is explicitly agentic; fluency in autonomous AI workflows as a product — not just tooling — is a real differentiator. Success in this role demands agility, excellent time management, and the ability to thrive in Palo Alto Networks’ fast-paced environment.

Requirements

BS/MS in Computer Science, Engineering, or a related technical or business discipline—or equivalent practical experience.
7+ years in cybersecurity — IoT/OT, Vulnerability Management, Network Security, Endpoint/EDR, CTEM/CAASM/ASPM or AEV — with at least 4 years in Product Management in a B2B SaaS or security platform environment.
Proven ability to translate business requirements into scalable product deliverables with world-class engineering teams.
Creative thinker with strong market differentiation instincts and a track record of driving innovation.
Demonstrated success collaborating across Engineering, Sales, Marketing, and GTM to deliver high-impact outcomes.
Exceptional interpersonal skills; able to build alignment across diverse teams and partners.
Skilled at tracking cross-team deliverables, assessing risk, and managing timelines.
Hands-on experience with day-to-day product delivery; large-scale program leadership a plus.
Highly organized with strong attention to detail and disciplined communication.
Experience defining 3rd-party integration strategy (EDR, MDM, VM, SOAR) and delivering scalable API frameworks with engineering.
Familiarity with vulnerability prioritization — CVSS, EPSS, multi-factor risk scoring — and how these drive product decisions.
Understanding of IoT/OT device constraints — legacy protocols, unpatchable devices, OT downtime risk — and how they shape product design.
Experience across multi-product platform ecosystems (NGFW, SIEM, SOAR, cloud security) defining integration requirements for platform synergies.
Ability to write crisp requirements for agentic AI features — autonomous policy enforcement, AI-driven remediation — and evaluate architecture tradeoffs with engineering.
Strong written and verbal communication; able to deliver compelling executive presentations.
Proficient in data-driven decision-making using Excel or Google Sheets.
Baseline AI Skills: Daily use of LLM tools (Claude, ChatGPT, Gemini) for PRD drafting, competitive research, and customer feedback synthesis
Prompt engineering — structured, iterative prompts producing high-quality product artifacts
AI-assisted analysis — interpreting usage data, synthesizing interviews, surfacing patterns at scale
Working knowledge of ML concepts relevant to the domain — classification, anomaly detection, behavioral baselines, LLM knowledge bases — sufficient to ask sharp questions in engineering reviews
Agentic AI fluency — multi-step reasoning, tool-use patterns, and human-in-the-loop design; enough to own agentic feature development end-to-end
Experience with AI productivity tools (meeting intelligence, writing assistants) to demonstrably improve team output

Nice To Haves

Industry familiarity in Healthcare, Manufacturing, Transportation, BMS, or Utilities; OEM experience (GE, Cerner, Siemens, Rockwell, Yokogawa)
Experience with CTEM, CAASM, or ASPM platforms
Familiarity with Cortex XSOAR, Strata Cloud Manager, Prisma Access, or SD-WAN ecosystems
Knowledge of IEC-62443, NERC-CIP, or NIST 800-82
Experience with OT Secure Remote Access (CyberArk, PAM, browser isolation)
FedRAMP authorization experience (Moderate or High/IL5)
Familiarity with XSIAM or converged SOC platforms and OT telemetry integration

Responsibilities

Define and communicate product strategy and roadmap aligned to business goals and market trends.
Translate customer needs into clear business and functional requirements across the portfolio.
Partner with UX to craft intuitive workflows and dashboards that drive engagement.
Collaborate with Engineering, Design, and GTM throughout the product lifecycle to deliver high-quality releases.
Prioritize initiatives based on customer insights, business value, and technical feasibility.
Lead go-to-market readiness with Product Marketing, Sales, and Customer Success.
Serve as voice of the customer — validate features, test builds, guide post-launch iterations.
Stay ahead of managed/unmanaged device and IoT/OT security trends through research and competitive analysis.
Evangelize Device Security's AI capabilities — ML-based discovery, LLM enrichment, multi-factor risk scoring — to partners, customers, and internal stakeholders.
Own the roadmap areas — turning autonomous AI capabilities into trustworthy product experiences.
Ground features in customer use cases and measurable outcomes.
Drive Device Security expansion — coordinating across Business Units, Product, IT, NPI, and partner teams.
Track adoption metrics; partner with CS and GTM to convert deployments into realized security value.
Define and communicate the product strategy and roadmap, ensuring alignment with business goals and market trends.
Translate customer needs and technical considerations into clear business and functional requirements across the product portfolio.
Lead platform scale initiatives.
Own the agentic security roadmap — define requirements for the Agentic actions on our NetSec and 3rd party systems, translate autonomous AI capabilities into concrete product experiences customers can trust and act on.
Partner with UX to craft intuitive user experiences, focusing on workflows and dashboards that drive engagement and satisfaction.
Collaborate with engineering, design, and GTM teams throughout the product lifecycle—from concept to launch—to deliver high-quality releases.
Prioritize product initiatives based on customer insights, business value, and technical feasibility.
Lead go-to-market readiness by working closely with Product Marketing, Sales, and Customer Success teams.
Serve as the voice of the customer by validating features, testing builds, and guiding post-launch iterations.
Stay ahead of emerging trends in the Managed/Unmanaged Device and OT/IoT security landscape through ongoing research and competitive analysis.
Act as a product evangelist for Device Security, articulating how our AI-first platform — including ML-based device discovery, LLM-enriched asset profiling, multi-factor risk scoring, crowdsourced behavioral baselines and native security enforcement and protections — delivers outcomes competitors cannot match.