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Lead Product Owner – GenAI / Application Security

  • On-site
    • Cincinnati, Ohio, United States
  • Information Technology

Technical Product Owner with 1+ year GenAI/LLM delivery experience, strong Agile ownership, AppSec/DevSecOps knowledge, AI evaluation expertise, and CI/CD/cloud technical fluency.

Job description

Job Summary

We are seeking a Lead Product Owner to lead product delivery for an AI-enabled application-security and developer-security platform. This is a highly technical Product Owner role focused on an LLM-based vulnerability scanning solution.

The ideal candidate combines GenAI/LLM product delivery, strong Agile Product Ownership, and Application Security/SDLC knowledge. The candidate will work closely with Engineering, Security, Architecture, Risk, Compliance, and senior leadership to define product strategy, prioritize development, and deliver AI-powered security capabilities.

Key Responsibilities

  • Own the product roadmap, backlog, prioritization, and release planning for an AI-enabled security platform.

  • Define product requirements, Features, User Stories, acceptance criteria, and release objectives.

  • Lead Agile ceremonies including sprint planning, backlog refinement, reviews, and prioritization.

  • Partner with Engineering and AI/ML teams to deliver LLM-powered vulnerability scanning and developer-security capabilities.

  • Collaborate with Application Security and DevSecOps teams on SAST, SCA, vulnerability management, secure SDLC, and security finding workflows.

  • Define product requirements for AI evaluation, including precision, recall, false positives, false negatives, regression testing, and ground-truth datasets.

  • Support integration with GitHub, CI/CD pipelines, APIs, cloud environments, and developer workflows.

  • Establish product metrics, adoption measurements, evaluation criteria, and release-readiness standards.

  • Make technical product tradeoffs and communicate decisions to Engineering, Security, Risk, Architecture, Compliance, and leadership.

  • Support governance, risk management, audit, and compliance requirements for AI-enabled products.

  • Drive continuous improvement based on user feedback, product metrics, security findings, and AI model performance.

Job requirements

Required Qualifications

  • Proven experience as a Technical Product Owner or Technical Product Manager with direct ownership of product roadmaps and backlogs.

  • 1+ year of hands-on GenAI/LLM product development or delivery experience.

  • Experience delivering real-world GenAI capabilities such as LLM applications, AI agents, RAG, prompt orchestration, AI-assisted developer tools, model evaluation, or production AI platforms.

  • Strong understanding of Agile product ownership, including Features, Stories, acceptance criteria, prioritization, sprint planning, refinement, releases, and stakeholder management.

  • Working knowledge of Application Security, DevSecOps, or secure software development practices.

  • Understanding of SAST, SCA, vulnerability management, security findings, remediation workflows, OWASP concepts, or developer-security platforms.

  • Understanding of AI/LLM evaluation concepts including precision, recall, false positives, false negatives, regression testing, and evaluation datasets.

  • Strong SDLC and CI/CD technical fluency.

  • Experience with technologies such as GitHub, Jenkins, APIs, AWS, Terraform, containers, or cloud-native development.

  • Strong communication and stakeholder-influence skills with the ability to work across Engineering, Security, Risk, Architecture, and

  • Compliance.

Preferred Qualifications

  • Experience with AI-powered security tooling or developer-security products.

  • Experience with LLM-based vulnerability scanners or AI-assisted code analysis.

  • Experience integrating security platforms with GitHub or CI/CD pipelines.

  • Experience in financial services, healthcare, insurance, government, or other regulated environments.

  • Experience with AI governance, model risk management, audit, or compliance.

  • Experience defining human-in-the-loop validation and AI quality standards.

Ideal Candidate Profile

The strongest candidate will be a Technical Product Owner/Product Manager who has recently delivered an enterprise GenAI product and possesses meaningful AppSec/DevSecOps knowledge. The candidate should be technical enough to discuss scanner architecture, CI/CD integration, security findings, AI evaluation, model changes, false-positive rates, and release criteria with engineering teams.

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