Product Manager - ZTNA experience is required

Job Summary

We are seeking a Senior Product Manager to help shape and drive SonicWall Cloud Secure Edge. In this role, you will connect engineering, design, sales, marketing, and customer success-translating market needs and customer insights into product direction. You will operate at the intersection of deep technical understanding and sharp commercial instinct, influencing the platform s evolution to deliver measurable security outcomes for SonicWall customers and partners.

Key Responsibilities

Product Strategy Roadmap

• Influence and help define the Cloud Secure Edge product vision and strategy; own the execution of the multi-quarter roadmap aligned with SonicWall s SASE and Zero Trust go-to-market objectives.
• Prioritize features and capabilities based on customer feedback, competitive intelligence, market trends, and engineering feasibility.
• Develop and present business cases for new investments to executive leadership, including TAM analysis, win/loss data, and projected impact on ARR.

Technical Product Ownership

• Partner closely with engineering leadership to define requirements, write detailed specifications, and make informed trade-off decisions on scope, architecture, and delivery timelines.
• Drive integration strategy across SonicWall s security portfolio, including firewalls, endpoint agents, and threat intelligence services.
• Ensure extensibility for MSP automation workflows and third-party integrations (SIEM, SOAR, IdP).
• Evaluate and influence platform architecture decisions related to multi-tenancy, scalability, and cloud-native deployment models.

Zero Trust SASE Domain Leadership

• Serve as the internal subject matter expert on ZTNA, SSE, and SASE frameworks, educating cross-functional teams and informing competitive positioning.
• Monitor and analyze the competitive landscape (Zscaler, Palo Alto Prisma, Cloudflare, Netskope) to identify differentiation opportunities and parity gaps.
• Translate regulatory and compliance trends (NIST Zero Trust Architecture, CISA guidelines) into actionable product requirements.

Cross-Functional Collaboration Go-to-Market

• Collaborate with Product Marketing to develop positioning, messaging, competitive battle cards, and sales enablement content.
• Work directly with strategic customers and MSP partners to validate product direction, conduct design-partner programs, and gather feedback.
• Support sales engineering teams with technical deep-dives, RFP responses, and proof-of-concept engagements.
• Define and track product success metrics including adoption, activation, retention, NPS, and ARR contribution.

Required Qualifications

• 5+ years of product management experience, with at least 3 years focused on network security, cloud security, or identity/access management products.
• Deep working knowledge of ZTNA, SASE, SSE, SWG, CASB, and/or VPN technologies and their underlying architectures.
• Proven track record of shipping cloud-native or SaaS products at scale, with experience managing multi-tenant platforms.
• Strong technical fluency: ability to engage with engineering teams on API design, microservices architecture, and cloud infrastructure (AWS, Azure, or GCP).
• Experience working with channel and MSP partner ecosystems in the cybersecurity space.
• Exceptional written and verbal communication skills, with experience presenting to C-level stakeholders..

Preferred Qualifications

• Experience at a cybersecurity vendor in the SASE or SSE market (e.g., Zscaler, Palo Alto Networks, Cloudflare, Netskope, Fortinet).
• Familiarity with identity providers (Okta, Azure AD, Ping) and their integration patterns with ZTNA platforms.
• Industry certifications such as CISSP, CCSP, or relevant cloud/security credentials.
• Experience with agile product development methodologies and tools (Jira, Aha!, Productboard).
• Background in data-driven product management with proficiency in analytics platforms (Amplitude, Mixpanel, Pendo).
• AI fluency and demonstrated ability to prototype with AI tools: comfortable leveraging LLMs, copilots, and generative AI to accelerate research, ideation, spec writing, and rapid prototyping of product concepts.
• Bachelor s degree in Computer Science, Engineering, or a related technical field. MBA or advanced degree is a plus.

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