Staff Product Manager (AI & Data)

We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite hackers, with our patented data and AI-powered Security Knowledge Platform™. Our network of hackers brings diverse expertise to uncover hidden weaknesses, adapting swiftly to evolving threats, even against zero-day exploits. With unmatched scalability and adaptability, our data and AI-driven CrowdMatch™ technology in our platform finds the perfect talent for your unique fight. We aim to create a new era of modern crowdsourced security that outpaces threat actors. Unleash the ingenuity of the hacker community with Bugcrowd, visit bugcrowd. com. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Job Summary We are looking for an innovative Staff Product Manager, AI & Data to define the vision, strategy, and roadmap for Bugcrowd’s data and intelligence backbone. In this role, you will be the "Architect of the Signal," building the platform that turns a flood of raw test results, including vulnerability scans, penetration tests (J5), and bug bounty/VDP submissions, into validated, correlated, and prioritized intelligence customers can trust and act on. Your mission is to eliminate noise before it ever reaches a customer, connect the dots across every test type and source, and make sure the highest-risk issues, and the clearest path to fixing them, always rise to the top. You will sit at the intersection of data engineering, security operations, and applied AI/ML, owning the full lifecycle from raw test result to remediation guidance. Essential Duties and Responsibilities - AI & Data Strategy & Vision: Own the vision, strategy, and roadmap for Bugcrowd’s AI & Data pillar. Define how validation, aggregation, prioritization, and recommendations fit together into one trusted data platform. - Validation as a Service: Design and scale an automated triage and deduplication capability. It validates test results across all test types (vulnerability scanning, penetration testing, MBB/VDP) before they enter the data platform. Only clean, trustworthy signal reaches downstream products. - Aggregation & Correlation: Build the data models and pipelines that aggregate and correlate validated findings across test types and sources. The result is a single, unified view of a customer’s risk posture.

- Prioritization & Diagnosis: Develop the logic that diagnoses what matters most. Look within a customer across test results, across customers, and against third-party and internal threat feeds. The highest-impact issues should always surface first. - Recommendation Engine: Partner with engineering to turn a diagnosis into action. Surface a suggested code fix. Confirm whether the customer’s logging can even detect the issue. Deliver a ready-to-use detection rule (e. g. , Splunk) and a threat hunting query to check for past abuse. - Cross-Functional Intelligence: Work closely with our Agentic Products PM team. Feed new attack vectors and data sources back into agent training. Help our agents learn to “look for the new thing. ” - Platform Trust & Scalability: Define and own the metrics that prove the platform works: validation accuracy, deduplication rate, time-to-diagnosis. These metrics make the AI & Data pillar the trusted foundation every other product is built on. Education, Experience, Knowledge, Skills, and Abilities - 7+ years of Product Management experience. Ideally this spans both security/vulnerability and threat data domains and ML/data platform and pipeline domains. That’s a rare blend, but it’s the ideal for this role. - Data-Minded Systems Thinker: You’re comfortable with data models, pipelines, and deduplication/correlation logic. You can translate messy, multi-source data into a structured, trustworthy output.