Cyber Detection Warfare Senior Product Manager

Booz Allen Hamilton•McLean, VA

22h•Remote

About The Position

The Product team at Booz Allen is defining a new product-led growth business, offering the chance to design, build, and deliver products to mission and commercial customers at scale. This role provides a start-up like energy with the resources and stability of an established tech company, allowing for the creation of new outcomes by leveraging existing technology and customer solutions. The team aims to push boundaries, combining product investments with Booz Allen's services to supercharge customers. Booz Allen is seeking a Product Manager to define and build next-generation products, specifically focusing on detection and remediation engineering. This role requires blending knowledge of threat manifestation with a passion for eliminating SIEM & SOAR 'noise' and alert fatigue. The Product Manager will leverage Booz Allen's decades of security experience to shape the future, fusing deep domain knowledge in threat modeling and adversarial techniques to develop automated and agentic patterns for detecting and preventing attacks. This PM will work across the entire product lifecycle, from identifying high-impact AI use cases (like detecting living-off-the-land attacks) and defining the technical roadmap, to collaborating with engineering and data science teams to build trustworthy features, and partnering with go-to-market teams to ensure the product meets complex security and audit requirements for regulated customers. These capabilities will support solutions across Cybersecurity, Defense, Autonomy, AI, and Data portfolios.

Requirements

7+ years of experience in technology product management
Experience analyzing and solving problems
Ability to manage the entire product lifecycle, going from ideation to launch
Ability to thrive in fast-moving startup environments and effectively lead change
Ability to travel up to 20% of the time
Bachelor's degree in computer science, engineering, information systems, data science, applied mathematics, or business

Nice To Haves

Experience with SaaS platforms and products involving multi-tenancy, subscriptions, billing, and compliance requirements
Experience with detection engineering, including authoring and tuning detections across SIEM and EDR platforms, detection-as-code, or CI/CD workflows
Experience with threat hunting using telemetry, analytics, and threat intelligence to identify adversary activity
Experience with incident response, including alert triage, investigation, containment, and remediation
Experience with leading a product team toward a shared goal, inspire confidence, and drive consensus across the organization
Experience with breaking down complex and ambiguous problems into smaller, manageable pieces, and develop innovative solutions
Experience with design tools, such as Figma, that enhance the product conceptualization process
Knowledge of the MITRE ATT&CK framework for detection mapping and adversary analysis
Knowledge of cybersecurity operations, detection, cyberthreat intelligence, AI, distributed systems, and cloud-based infrastructure

Responsibilities

Own the end-to-end product vision, strategy, and roadmap for a next-generation detection engineering platform that explicitly leverages AI to move beyond the current human driven model.
Leverage mastery of frameworks like MITRE ATT&CK to understand the why and how behind lateral movement, exfiltration, and persistence.
Identify and validate specific use cases where AI can automate time-consuming outcomes and building hooks for automated response.
Design interfaces that prioritize the most critical threats rather than burying analysts in more unactionable "noise” like the current SIEM & SOAR offerings.
Build workflows that treat detections like software, such as Detections as Code (DaC), using Version Control, CI/CD pipelines for testing, and automated deployment.
Use knowledge of how systems ingest, normalize, and enrich millions of events.
Conduct deep market research on the emerging threat detection landscape, understanding competitor offerings, auditor expectations, and customer pain points to identify defensible product advantages.
Translate complex requirements and user needs into detailed, prioritized product requirements, user stories, and acceptance criteria for engineering and design team that unfold the process tree, the network connections, and the user behavior of an attack rather than just a raw log line.
Serve as the primary product leader, partnering with technical product leadership to ensure alignment and collaboration across Engineering, Data Science or AI, UX Design, Legal and Compliance, and Go-to-Market teams.
Strategize and partner to define the data ingestion, labeling, security, and governance strategy necessary to train, validate, and securely operate the underlying AI or ML models while adhering to data privacy and compliance standards.
Spend significant time engaging with target customers, such as CISOs, Red Teams, and IT Admins, and external security professionals to gather feedback, validate prototypes, and ensure the product exceeds expectations.
Own, prioritize, and manage the product backlog. This involves clearly communicating high-level strategy with partners so it can be translated into detailed, actionable user stories, and epics for engineering teams.
Work closely with engineering and technical product leads to define the technical requirements, system design, and overall architecture to ensure the platform is robust, secure, and scalable.