Director, Product Management

Forescout Technologies builds cybersecurity defenses that protect critical infrastructure and help organizations manage cyber risk, ensure compliance, and mitigate threats. The Director of Product Management will lead portfolio strategy and execution for next-generation cybersecurity across IT, OT, IoT, and IoMT environments, driving customer outcomes from discovery through adoption and expansion. The role also requires cross-functional leadership across Product, Engineering, Marketing, Sales, Customer Success, and Services.

Responsibilities:

• Translate company priorities, market opportunities, and customer problems into investment themes, outcome-based roadmaps, and sequenced plans for protecting cyber-physical systems across device, identity, network, and physical-process layers
• Establish a transparent line of sight from funding and capacity decisions to roadmap commitments, delivery milestones, customer value, and business impact
• Drive customer journeys and capabilities that unify device and asset intelligence, user and machine identity, network context and control, exposure management, threat defense, policy, segmentation, and enforcement across IT, OT, IoT, and IoMT. Evaluate outcomes in the context of operational continuity, resilience, safety, and mission impact—not through a network-only lens or isolated product silos
• Meet regularly with customers, prospects, partners, and field leaders across enterprise IT and cyber-physical environments to understand how devices, identities, networks, and physical operations intersect. Translate those insights into scalable priorities that address risk without disrupting critical business, industrial, or clinical processes
• Frame decisions using customer impact, strategic fit, revenue potential, risk, cost, evidence, dependencies, and time to value. Recommend where to invest, partner, adjust, defer, or stop
• Build coherent plans with clear outcomes, ownership, dependencies, milestones, decision points, and measures of success. Distinguish vision, plan, and commitment, and surface delivery risk early
• Own outcomes across the entire customer experience, ensuring initiatives address discovery, evaluation, deployment, integration, operations, reporting, supportability, adoption, value realization, renewal, and expansion—not merely feature delivery
• Deliver persuasive customer briefings, roadmap presentations, demonstrations, executive reviews, and industry-facing sessions. Translate complex capabilities into clear narratives, use cases, value propositions, launch criteria, and enablement that customers and field teams can understand and act on
• Define success metrics, inspect adoption and business performance, and use evidence to guide continued investment and roadmap adjustments
• Partner closely with Sales, Product Marketing, Marketing, Customer Success, and Services leadership to align positioning, demand creation, field execution, launch plans, and customer feedback with product strategy and roadmap priorities
• Provide strong direction across multiple engineering teams, establish clear outcomes and priorities, resolve ambiguity and dependencies, and hold teams accountable for commitments. Coach product managers and strengthen operating mechanisms for discovery, planning, execution, and follow-through

Requirements:

• 3+ years of product management experience, including leadership of complex enterprise cybersecurity, networking, infrastructure, or platform initiatives
• Demonstrated success connecting portfolio strategy and investment decisions to roadmaps, execution plans, launches, adoption, and measurable outcomes
• Bachelor's degree in a technical or business-related field, or equivalent practical experience
• Strong knowledge of cyber-physical systems security across IT, OT, IoT, and IoMT, with the ability to assess cyber risk through device and asset, user and machine identity, network, and physical-process perspectives. Experience with adjacent capabilities such as NAC, Zero Trust, segmentation, asset intelligence, exposure management, policy, threat defense, and enforcement is expected
• Experience leading across enterprise IT and cyber-physical environments, including on-premises, cloud, hybrid, industrial, connected-device, and medical-device architectures. Understand the distinct availability, safety, resilience, lifecycle, and change-control requirements of operational environments and focus on customer outcomes rather than product or deployment silos
• Proven ability to lead ambiguous, cross-functional initiatives involving multiple products, engineering teams, stakeholders, and dependencies
• Strong customer discovery, market analysis, and competitive strategy skills, with the judgment to separate anecdotes from repeatable needs and evidence
• Business and financial acumen, including the ability to reason about investment, opportunity size, monetization, cost, sequencing, and tradeoffs
• Excellent written and verbal communication, with a track record of simplifying complex topics and presenting clear recommendations to executives
• High ownership, urgency, and follow-through. Comfortable identifying gaps, challenging assumptions, making decisions, and driving closure
• Experience developing and mentoring product managers and improving product operating practices across teams
• Quickly understand how devices, identities, networks, software, and physical processes interact across IT, OT, IoT, and IoMT environments; engage credibly with enterprise security, industrial operations, clinical technology, architecture, engineering, and customer technical teams
• Decompose ambiguous customer and market problems, form clear hypotheses, use evidence to test assumptions, and translate findings into actionable product requirements and investment decisions
• Work effectively with engineering leaders and teams on architecture, scope, sequencing, dependencies, quality, performance, security, and delivery risk without attempting to substitute product judgment for engineering ownership
• Define meaningful product and operational metrics, interpret telemetry and customer evidence, and use quantitative and qualitative insights to prioritize investments and evaluate outcomes
• Explain complex technical concepts in clear business language, adapt the level of detail to the audience, and confidently handle technical questions in customer, executive, and field-facing settings
• Stay current on cybersecurity, networking, cloud, AI, automation, and platform trends; rapidly assess their relevance to customer problems and Forescout's strategy
• Strong working knowledge of connected-device and asset discovery, classification, posture, behavior, and lifecycle; user, workload, and machine identity; and network architectures, protocols, access controls, segmentation, and enforcement. Able to combine these signals into a coherent view of cyber risk
• Deep familiarity with security architectures for IT, OT, IoT, and IoMT, including industrial control systems, building systems, connected and medical devices, operational protocols, remote access, asset intelligence, exposure management, Zero Trust, threat detection, and incident-response workflows. Understand how cybersecurity decisions can affect safety, reliability, availability, resilience, and physical operations
• Practical understanding of on-premises, public cloud, SaaS, virtualized, containerized, edge, and hybrid architectures, including their security, deployment, scalability, and operational implications
• Ability to evaluate REST APIs, data models, event-driven integrations, identity services, connectors, extensibility frameworks, and partner ecosystems; comfortable working with technical documentation and integration patterns
• Understand device, identity, network, security, operational, and product telemetry; reason about data quality, normalization, correlation, behavioral baselines, observability, and reporting; and convert combined signals into actionable risk, policy, and response outcomes
• Solid grasp of modern software development practices, agile planning, CI/CD, DevSecOps, testing, release management, technical debt, reliability, performance, scalability, and secure-by-design principles
• Working knowledge of machine learning, generative AI, large language models, agentic workflows, and automation, including practical use cases, data dependencies, evaluation approaches, security risks, and responsible deployment considerations
• Comfortable reviewing diagrams, requirements, API specifications, logs, dashboards, demonstrations, and prototypes; capable of asking incisive technical questions and challenging assumptions constructively
• For roles supporting U.S. federal environments, candidates must meet applicable federal eligibility requirements, including U.S. Person status, and may be required to obtain and maintain a government background investigation or security clearance
• MBA or advanced degree