Senior Vellox Product Manager, Cyber Environment Detections

About the role

Senior Vellox Product Manager, Cyber Environment Detections The Opportunity:   The   P roduct team is defining a new   product-led growth   business   within Booz Allen where you will have the   opportunity to design, build, and deliver   products   to mission and commercial customers   at   scale.  You will   experience the   energy   of a start-up,   with the resources, mentorship, and stability of an established tech company   –   being   able to look across   industry   &   capability areas to craft   new   outcomes   leveraging   the   deep catalog of existing tec hnology   and customer   solutions.   This team is looking to consistently push the boundaries of what is possible, shaping   a future   where   product   investments combined with Booz Allen   existing services businesses can supercharge customers.   If you are wanting to build and deliver   a   product 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 to   define and build   this   next generation products.    As a Product Manager focus ed on   the next generation of   detection   and remediation   engineering, yo u will need to blend   your knowledge of how   threats   manifest   themse lves   with   your   passion   for   eliminating   the   SIEM & SOAR   “noise”   and alert fatigue   burying analysts   today.    This role will be able to   leverage   the decades of experience which Booz Allen has in delivering differentiated   and successful   deep security   outcomes for customers, but to   contribute to   shap ing   it s fu ture.   One challenge will be to   fuse deep   domain knowledge around threat modeling & adversarial techniques   to develop automated and agentic patterns which   unfold   the “story” of an attack or vulnerability and the n craft a detection rule to prevent it in the future.   This PM will   work across   the end-to-end product lifecycle, from identifying high-impact AI use cases, such as like   new 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 requirements of   our 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 that   make customer environments   first ‑class   inputs   to Ranger systematically capturing asset inventories, topology, control stacks, and telemetry sources. By codifying these signals into   environment models and baselines,   we’ll   tune 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.   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 lead   change      Ability to travel up to 20% of the time   Bachelor's degree in  C omputer Science,  E ngineering,  I nformation  S ystems,  D ata  S cience,  A pplied  M athematics, or Business     Nice If You Have:   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, and detection-as-code or CI/CD workflows   Experience modeling customer environments, including cloud,   on ‑ prem, and hybrid, including asset discovery,   control ‑ stack   mapping, including EDR, SIEM, or IDP, and telemetry onboarding for detection use cases   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 and capacity to break down complex, 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 infrastructur e   Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.