Overview As Senior Product Manager for Device Security, you define and advance an AI-first security platform that discovers, assesses, and protects all managed, unmanaged, and IoT/OT devices. You own product areas across key pillars and drive cross-functional delivery from concept to launch. You'll translate customer needs into requirements, partner with UX and engineering, and shape a roadmap aligned to business goals. This role offers work on cutting-edge AI-enabled security solutions and high-impact collaboration across product, engineering, and GTM teams.
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
- 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
- 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 delivers outcomes competitors cannot match
Key requirements- BS/MS in Computer Science, Engineering, or related field-or equivalent practical experience
- 7+ years in cybersecurity with IoT/OT, Vulnerability Management, Network Security, Endpoint/EDR, CTEM/CAASM/ASPM or AEV, and at least 4 years in Product Management in a B2B SaaS or security platform
- Ability to translate business requirements into scalable product deliverables with engineering teams
- Strong collaboration across Engineering, Sales, Marketing, and GTM
- Excellent communication and stakeholder alignment skills
- Experience defining 3rd-party integration strategy (EDR, MDM, VM, SOAR) and scalable API frameworks
- Familiarity with vulnerability prioritization (CVSS, EPSS, multi-factor risk scoring) and OT/IoT device constraints
- Experience across multi-product platform ecosystems and defining integration requirements
- Ability to write crisp requirements for agentic AI features and evaluate architecture tradeoffs
- Proficiency in data-driven decision-making (Excel/Sheets)
- Baseline AI skills and experience with LLMs, AI workflows, and agentic AI concepts
- Collaborative
- Strategic thinking
- Strong communication
- AI/ML concepts relevant to security (discovery, profiling, risk scoring)
- LLM-enabled workflows
- Agentic AI capabilities
