Staff Product Manager - Agentic Application Security Testing

Job Summary

Harness is looking for a Staff Product Manager to define the future of Agentic Application Security. You will lead our Code Security and AI Security Agents portfolio, spanning static application security testing (SAST), AI-powered vulnerability triage, and autonomous remediation.

As AI coding agents transform how software is built, security must evolve beyond detecting vulnerabilities to autonomously investigating, validating, and fixing them at machine speed.

We are looking for a product leader who can help build autonomous security engineering systems that understand code, reason about security risks, generate secure fixes, and continuously validate outcomes across modern development environments.

Responsibilities

• AI-Native Code Security: Own the strategy and roadmap for SAST, code analysis, reachability, exploitability, and AI-powered vulnerability discovery.
• Autonomous Security Agents: Build intelligent triage and remediation agents that investigate findings, assess risk, generate fixes, and verify security outcomes.
• Agentic Remediation Workflows: Drive autonomous repository analysis, multi-file code changes, dependency upgrades, test generation, regression validation, and pull request creation.
• Agentic Developer Ecosystem: Integrate security into AI coding assistants, autonomous development agents, IDEs, SCM, and CI/CD workflows.
• Next-Generation Security Testing: Explore LLM-driven security analysis, sandbox execution, exploit validation, and continuous security testing.
• Product Strategy & Execution: Own product differentiation, customer engagement, roadmap execution, adoption, and business outcomes while partnering with engineering, security research, and go-to-market teams.

What Were Looking For

• 8+ years of product management experience in Application Security, AI Developer Tools, DevSecOps, or software engineering platforms.
• Strong understanding of application security, SAST, vulnerability management, secure coding, and developer workflows.
• Experience or strong technical familiarity with AI coding agents, LLM orchestration, tool calling, and autonomous software development.
• Understanding of how agents reason over repositories, plan and execute tasks, modify code, run tests, and iteratively resolve failures.
• Ability to translate advances in AI and software engineering into reliable, enterprise-grade products.
• Proven experience driving product strategy, technical execution, customer adoption, and measurable business outcomes.
• Strong technical judgment and ability to collaborate with engineering, security research, and executive stakeholders.

Nice to Have

• Experience building autonomous coding agents, AI-native developer tools, or application security products.
• Knowledge of code property graphs, dataflow analysis, reachability, exploitability, and software composition analysis.
• Familiarity with multi-agent architectures, MCP, sandbox environments, agent memory, and feedback-driven execution.
• Experience with automated vulnerability remediation, secure code generation, and verification workflows.
• Background in software engineering, security engineering, or AI/ML.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.