Cyber Detection Warfare Senior Product Manager

The Opportunity

Cyber Detection Warfare Senior Product Manager

The Product team is defining a new product-led growthbusinesswithin Booz Allen where you will have the opportunity to design, build, and deliverproductsto mission and commercial customersatscale. You will experience theenergyof a start-up,with the resources, mentorship, and stability of an established tech companywhilebeingable to look acrossindustryandcapability areas to craftnewoutcomesleveragingthedeep catalog of existing technology and customer solutions. This team is looking to consistently push the boundaries of what is possible, shapinga futurewhereproductinvestments combined with Booz Allenexisting services businesses can supercharge customers.

If you are wanting to build and deliveraproduct which can outsmart human adversaries while managing massive scales of data at the intersection of where software engineering is meeting digital forensics.

Booz Allen is seeking a Product Manager todefine and buildthisnext generation products.

As a Product Manager focused onthe next generation ofdetectionand remediationengineering, you will need to blendyour knowledge of howthreatsmanifestthemselveswithyourpassionforeliminatingtheSIEM & SOAR“noise”and alert fatigueburying analyststoday. This role will be abletoleveragethe decades of experience which Booz Allen has in delivering differentiatedand successfuldeep securityoutcomes for customers, but to contribute toshapingits future.

One challenge will be tofuse deepdomain knowledge around threat modeling and adversarial techniques to develop automated and agentic patterns whichunfoldthe “story” of an attack or vulnerability and then craft a detection rule to prevent it in the future.

This PM willwork acrossthe end-to-end product lifecycle, from identifying high-impact AI use cases, such as new patterns to detectliving-of-the-land (LOTL) attacks, and defining the technical roadmap, to collaborating with engineering and data science teams to build trustworthy, auditable features, and partnering with go-to-market teams to ensure the product successfully meets the complex security and audit requirements ofour mostregulated customers.

These capabilities will underpin solutions and products across our product portfolio, including Cybersecurity, Defense, Autonomy, AI, and Data.

• Own the end-to-end product vision, strategy, and roadmap for a next-generationdetection engineeringplatform that explicitlyleveragesAIto move beyondthe current humandriven model.

• Leverage mastery of frameworks like MITRE ATT&CK to understand the why and how behind lateral movement, exfiltration, and persistence.

• Identifyandvalidatespecific use cases where AI can automate time-consumingoutcomes and building hooks for automated response. A great detection productdoesn’tjust say “something is wrong”, it helps the user fix it.

• 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 Detectionsas 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 emergingthreat detectionlandscape, understanding competitor offerings, auditor expectations, and customer pain points toidentifydefensible product advantages.

• Translate complex requirements and user needs into detailed, prioritized product requirements, user stories, and acceptance criteria for engineering and design teamthat 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,partneringwithtechnicalproduct leadership toensurealignment and collaboration across Engineering, Data Science or AI, UX Design, Legal and Compliance, and Go-to-Market teams.

• Strategize and partnerto define the data ingestion, labeling, security, and governance strategy necessary to train,validate, and securelyoperatethe underlying AI or ML models while adhering to data privacy and compliance standards.

• Spendsig…