Senior Vellox Product Manager, Cyber Environment Detections

Senior Vellox Product Manager, Cyber Environment Detections

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 company–beingable to look across industry&capability 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 Allen existing 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 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 remediation engineering, you will need to blendyour knowledge of howthreatsmanifestthemselveswithyourpassionforeliminatingtheSIEM & SOAR“noise”and alert fatigue burying analysts today.

This role will be abletoleveragethe decades of experience which Booz Allen has in delivering differentiated and successful deep security outcomes for customers, but to contribute toshapingits future.

One challenge will be tofuse deep domain knowledge around threat modeling & 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 likenew patterns to detect living-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 requirementsofour most regulated 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 environments first‑classinputsto Ranger systematically capturing asset inventories, topology, control stacks, and telemetry sources. By codifying these signals into environment models and baselines,we’lltune rule generation to each client’s reality, including cloud,on‑prem, and hybrid, improve analyst outcomes, and accelerate time‑to‑value across regulated and mission contexts.

• 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.

• 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 lead change

• Ability to travel up to 20% of the time

• Bachelor’s degree in Computer Science,Engineering,Information Systems,Data Science,Applied