Own and operationalize the guidance intake model, synthesizing product innovation, customer and field signals, practitioner audience insights, Zero Trust and Zero Trust for AI (Artificial Intelligence) guidance, AI safety and security learnings, and SFI (Secure Future Initiative) insights into a prioritized technical roadmap for each quarterly content wave. Partner with engineering SMEs (Subject Matter Experts), PMs (Product Managers), security architects, CVC (Customer Value and Experience team), and the Office of the CISO (Chief Information Security Officer) to co-create prescriptive guidance using a consistent taxonomy: problem, solution, implementation guidance, and implications. Develop hands-on labs, reference architectures, and walkthroughs that move guidance from what to how, including deployment sequencing, configuration, and validation steps a practitioner executes. Own technical quality and product alignment: coordinate SME reviews for technical accuracy and practitioner relevance before every publication, and map guidance to in-product domains and maturity signals so its impact on deployment can be measured. Serve as a technical resource for practitioners and architects: present technical sessions and demos at security events (e.g., RSA, Ignite, Build), facilitate workshops, gather direct customer feedback, and incorporate it into the guidance roadmap. Master's Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business OR equivalent experience. Master's Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 8+ years experience in business OR equivalent experience. Hands-on technical experience in cybersecurity, including experience as a practitioner, security architect, security engineer, consultant, or technical product marketer. Knowledge of AI (Artificial Intelligence) and agentic systems and the security considerations they raise, including model and agent identity, data boundaries, prompt and tool abuse, and AI risk governance. Experience translating complex security architecture into clear, actionable guidance practitioners can implement. Experience collaborating across functions, including partnership with engineering, product management, and other PMMs (Product Marketing Managers). Experience with writing, content development, and editorial decision-making.