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Known cybersec employer, metro product-platform role with mid-level experience attracts many qualified applicants.
Requires platform and AI/data product experience with security context, making skills moderately transferable across industries.
Explicit 2–5 year requirement plus technical data and AI/ML fluency creates moderate filtering of candidates.
Owns product backlog and delivery execution for 1-2+ engineering squads focused on data lake infrastructure and AI/ML capabilities powering cybersecurity products.
Translates complex business and security needs into clear product requirements, including PRDs, user stories, and acceptance criteria for distributed data systems and AI/ML workflows.
Collaborates with Engineering, Data Science, and Architecture teams to validate designs, prioritize high-impact features, and present roadmaps/status to stakeholders.
2-5 years of technical or product experience with a background in Computer Science or Software Engineering or equivalent.
Foundational knowledge of distributed data systems, data pipelines, cloud infrastructure (AWS/GCP), REST APIs, and AI/ML lifecycle concepts.
Experience with Agile/Scrum product management practices and requirements definition.
Understanding of data governance, security, privacy, and compliance standards pertinent to cybersecurity data platforms.
Technical product manager comfortable with architect-level discussions, reviewing High-Level Designs and shaping system tradeoffs in distributed data environments.
Experienced in managing the delivery of complex data infrastructure and AI-enabled platform capabilities in security operations contexts.
Strategic thinker who proactively identifies cost optimization, high-impact platform requests, and emerging AI use cases to influence future roadmap.