Job SummaryJob SummaryWe'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.
Key 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.
Qualifications Required Qualifications- 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
Preferred Qualifications- 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
Compensation DisclosureThe compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$148,700.00 - $240,525.00/yr
