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CodeRabbit seeks a hands-on Product Manager to own the security product: an AI-driven scanner for vulnerabilities across codebases, surfacing findings directly in PR reviews. You’ll shape detection quality, severity grading, and customer-facing proof, partnering with security teams and engineers.
You will lead end-to-end product direction, define capabilities, and own the Findings Experience, ensuring actionable findings for DevSecOps and AppSec teams.
CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week. We build the symbiotic partnership between developers and AI that makes shipping fast software safe again, reviewing every pull request, IDE change, and CLI commit so teams can move quickly without breaking things. We are a fast-moving, well-funded company, fresh off a $143M Series C at a $1.5B valuation - building Agentic Change Management, the control layer for software changes created by humans and agents. As AI writes more of the world's code, the bottleneck moves from implementation to judgment and helping human judgment scale is exactly the problem we exist to solve.
We're hiring a strong, hands-on Product Manager to own CodeRabbit's security product: the AI-driven scanner that hunts for real vulnerabilities across entire codebases and surfaces security findings directly in pull request reviews. The product combines LLM-based vulnerability hunting with static analysis, secrets detection, infrastructure-as-code checks, and dependency and supply-chain analysis, and grades every finding for exploitability and severity before a customer ever sees it.
This is a high-ownership IC role.
One thing we're firm on: you must come from the security space. This product lives or dies on security judgment - what a true positive looks like, what severity a finding deserves, and what an AppSec team actually needs before it will trust a scanner.
Own the security product end to end: deep codebase scans, security findings in pull request reviews, and everything in between.
Decide which vulnerability classes, scanner capabilities, and languages we invest in next across SAST, secrets detection, infrastructure-as-code misconfiguration, and dependency and supply-chain analysis.
Define what good detection means as a product: the precision, recall, and noise bar a finding must clear before a customer sees it.
Own how findings are presented, triaged, and resolved: severity and exploitability grading, dismissal and feedback loops, remediation flows, and reporting.
Treat every false positive as a trust problem, not a tuning detail - the goal is a scanner developers believe, not one they mute.
Turn detection-quality evidence (benchmarks, evaluations, real-world results) into product decisions and customer-facing proof.
Own the AppSec and CISO persona alongside our developer users: what security teams need to evaluate, trust, and roll out the product across an organization.
Partner with Sales on enterprise security evaluations and competitive positioning in the code security market.
Shape pricing and packaging of the security offering with Growth and Finance.
Detection Quality as a Product Metric.
Work daily with the engineers building the agentic scanning pipeline; bring the customer and market view to detection priorities.
5-8 years in the security space: product management at a security vendor, or hands-on security work (application security, penetration testing, vulnerability research, detection engineering) that you carried into product. We're hiring security depth, not adjacent experience.
Product management experience with deeply technical products, ideally at a B2B SaaS or developer tools company.
Practical knowledge of real vulnerability classes and how they're exploited - enough to challenge a severity call, judge a disputed false positive, and hold your own with security engineers and customers' AppSec teams.
You know the security tooling landscape (SAST, DAST, secrets scanning, IaC, software composition analysis) and exactly why developers distrust most of it.
Technically fluent. You can read code, understand APIs, and have detailed conversations with engineers without a translator.
You write well and communicate precisely. PRDs and tickets you've written are things you're proud of.
Comfortable with ambiguity; can move from fuzzy problem to clear spec without hand-holding.
Low ego, high ownership. You care about the outcome more than the credit.
A hands-on practitioner past: CVEs, bug bounty history, CTFs, or pentest findings with your name on them.
Experience shipping products built on LLMs or agentic systems, or well-formed judgment about where they help and where they fail.
Direct vendor-side experience in the code security market (SAST, ASPM, or software composition analysis).
Working knowledge of Git platforms (GitHub, GitLab, Bitbucket, ADO) as a power user or PM.
We'll be upfront: this isn't a compliance-checkbox product, and it isn't a GTM-only role. The hard problems here are detection quality, trust, and making security findings genuinely actionable for developers - deep, technical, judgment-heavy product work in one of the fastest-moving areas of AI.
CodeRabbit is an equal-opportunity employer committed to diversity and inclusion.