Cybersecurity Product Manager - AI & Security Operations

CitiIrving, TX
$125,760 - $188,640Onsite

About The Position

Citi is seeking a seasoned Cybersecurity Product Manager (AI & Security Ops) to own the end-to-end product management and enterprise delivery of major security operations platforms across a complex, multi-stakeholder environment. This is a senior-level, high-impact role requiring a rare and deliberate combination of hands-on cybersecurity operations experience, enterprise product management discipline, vendor governance expertise, and applied fluency in Artificial Intelligence (AI) as it relates to security operations. The successful candidate will apply that practitioner credibility to translate competing stakeholder needs into structured roadmaps, user stories, and platform/product delivery outcomes. They will serve as the authoritative customer voice for the assigned products while holding vendors to rigorous contractual and performance standards. This role sits at the intersection of cybersecurity operations, security engineering, and responsible AI enablement, and is central to the future of Citi's security operations capabilities. The ideal candidate has spent meaningful time on the operational front lines of cybersecurity operations and has subsequently moved into product or program management roles where they translate that practitioner knowledge into platform strategy and delivery. They have run or held an authoritative position in engineering and SDLC processes, running agile/scrum teams. They understand the needs of both operations and engineering and have proven experience managing vendors to ensure those needs are met. Critically, the ideal candidate approaches product capabilities, particularly leveraging AI, with informed skepticism and strategic clarity. They understand that AI can meaningfully accelerate detection, triage, and response, but also that a poorly validated model can generate alert fatigue, erode analyst trust, and introduce new risks. They can distinguish genuine capabilities from vendor marketing, ask the right questions about security capabilities and ensure that AI-driven features empower operational teams rather than undermine them. They bring both credibility with operational teams and the organizational influence to drive a complex, multi-stakeholder product agenda that responsibly integrates AI into the future of security operations.

Requirements

  • 6+ years' combined professional experience across all four of the following domains, with demonstrated experience in each: enterprise product and project management with roadmap ownership and vendor accountability; cybersecurity engineering with hands-on platform design or integration; cybersecurity operations including SOC analysis, incident response, threat hunting, or insider threat investigation; and AI enablement from concept through deployment.
  • Demonstrated working knowledge of AI and machine learning concepts applied to cybersecurity, including behavioral analytics, anomaly detection, LLM-based security tooling, and SOAR or agentic AI automation.
  • Proven ability to critically evaluate vendor AI product claims, enforce appropriate testing and acceptance standards, and manage escalation and contractual accountability.
  • Demonstrated expertise translating operational and technical cybersecurity requirements into structured product artifacts including user stories, user journeys, acceptance criteria, and multi-quarter roadmaps.
  • Strong executive communication skills, written and verbal, with the ability to present complex technical, AI, and product topics clearly to senior leadership and non-technical stakeholders.
  • Experience functioning as a Product Owner or equivalent role on Agile/Scrum delivery teams.
  • Experience evaluating or deploying AI-native security products including AI-powered SIEM, SOAR, UEBA, NDR, or EDR platforms, or LLM-based security tooling.

Nice To Haves

  • Familiarity with AI governance frameworks (NIST AI RMF, SR 11-7), cybersecurity frameworks (NIST CSF, MITRE ATT&CK), and experience in regulated environments subject to SOX, FFIEC, OCC, or GDPR is preferred.
  • Experience at a major financial institution or equivalent regulated enterprise is preferred.
  • Master's degree preferred.
  • Product management certifications such as PMP, SAFe POPM, or CSPO are preferred.
  • Security certifications such as CISSP, CISM, or GIAC (GCIA, GCIH, GDAT) are preferred.

Responsibilities

  • Own and drive the end-to-end product roadmap for one or more major security operations platforms, balancing requirements from 10+ distinct internal customer groups including SOC, Threat Intelligence, Incident Response, Insider Threat, Vulnerability Management, IT Risk, Legal, Compliance, and Business units.
  • Develop and maintain a clearly prioritized product backlog, facilitate structured intake and prioritization processes, and define and track product OKRs, KPIs, and success metrics — including AI-specific performance indicators such as detection accuracy, false positive rates, and model drift.
  • Apply first-hand cybersecurity operations expertise to translate analyst needs into high-quality product artifacts including user stories, user journeys, acceptance criteria, and functional specifications — including workflows augmented by AI-assisted tooling.
  • Identify, document, and translate AI use cases into actionable product requirements, addressing operational pain points such as alert triage automation, anomaly detection, natural language threat querying, and AI-assisted investigation.
  • Evaluate vendor-provided capabilities critically, assessing maturity, suitability, and growth potential. Require documented evidence of model validation, performance benchmarks, and drift management processes.
  • Serve as the primary product-level point of accountability for vendor relationships, leading governance forums, quarterly business reviews (QBRs), and escalation proceedings while enforcing SLA compliance and contractual obligations.
  • Collaborate with Citi's AI/ML, Data Science, and Enterprise AI Governance teams to ensure AI features embedded in Security Operations products comply with internal policies, model risk management requirements, and applicable regulatory guidance.
  • Serve as Product Owner in Agile/Scrum ceremonies across one or more concurrent delivery workstreams, partnering with program managers, development teams, and platform architects to deliver roadmap initiatives on schedule and within scope.
  • Coordinate user acceptance testing (UAT) across multiple customer groups, ensuring quality gates and AI feature output benchmarks are met prior to production releases.
  • Drive platform adoption across customer groups through structured change management, onboarding guides, and enablement sessions. Champion practitioner-centered design and appropriate human oversight of AI-driven workflows in all product decisions.
  • Present platform health, roadmap status, and AI feature performance to senior cybersecurity leadership and technology executives on a recurring cadence.

Benefits

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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