The Opportunity:
TheProduct team is defining a newproduct-led growthbusinesswithin Booz Allen where you will have theopportunity to design, build, and deliverproductsto mission and commercial customersatscale. You willexperience theenergyof a start-up,with the resources, mentorship, and stability of an established tech company–beingable to look acrossindustry&capability areas to craftnewoutcomesleveragingthedeep catalog of existing technologyand customersolutions.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 – the intersection of where software engineeringis 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 able toleveragethe decades of experience which Booz Allen has in delivering differentiatedand successfuldeep securityoutcomes for customers, but tocontribute toshapingits future.
One challenge will be tofuse deepdomain knowledge around threat modeling & adversarial techniquesto 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 likenew 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 finally, 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, Data, and more.
Why environment knowledge matters: To deliver trustworthy detections and reduce false positives at scale, this role will build capabilities thatmake customer environmentsfirst‑classinputsto Ranger systematically capturing asset inventories, topology, control stacks, and telemetry sources. By codifying these signals intoenvironment models and baselines,we’lltune rule generation to each client’s reality, including cloud,on‑prem, and hybrid, improve analyst outcomes, and acceleratetime‑to‑valueacross regulated and mission contexts.
What You'll Do:
Own the end‑to‑end vision, strategy, and roadmap for an AI‑driven detection engineering platform that surpasses human‑centric models.
Create a repeatable discovery process to model environments, including assets, topology, identity, and logs, and generate context‑aware, ranked detection rules with KPIs like readiness time, FP reduction, and coverage uplift.
Apply deep knowledge of frameworks like MITRE ATT&CK to design detections aligned to real adversary behaviors across movement, exfiltration, and persistence.
Identify high‑value opportunities for AI automation, enabling autonomous detection creation, triage, and response actions that help users resolve threats, not just notice them.
Design analyst‑focused interfaces that elevate critical threats while suppressing non‑actionable SIEM/SOAR‑style noise.
Build DaC workflows using Git‑based version control, CI/CD testing, and automated deployment across massive, normalized event pipelines.
Integrate strategic data sources, including endpoint trees and behavioral telemetry, to enrich environment models and scale tuning from small regions to global deployments.
Conduct ongoing competitive and market research to identify gaps, auditor expectations, and defensible product advantages in the evolving detection landscape.
Translate complex threat‑behavior stories into prioritized product requirements, user stories, and acceptance criteria that drive engineering and design execution.
Partner across engineering, AI/DS, UX, legal and compliance, and GTM teams to align technical architecture, data governance, ingestion, labeling, and model‑training strategy with customer needs.
You Have:
5+ years of experience in technology product management
Experience analyzing and solving problems
Ability to manage the entire product lifecycle, from ideation to launch and beyond
Ability to thrive in fast-moving startup environments and effectively leadchange
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 If You Have:
Experience with SaaS platforms and products involvingmulti-tenancy,subscriptions, billing, and compliance requirements
Experiencewithdetection engineering, including authoring and tuning detections across SIEM and EDR platforms, and detection-as-code or CI/CD workflows
Experience modeling customer environments, including cloud,on‑prem, and hybrid, including asset discovery,control‑stack
The boar re-runs this search every day and emails you what’s new — scraped straight from company career sites, no recruiter spam. Free.