Staff Product Manager (AI & Data)

Bugcrowd

3h•$145,440 - $181,800

About The Position

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.

Requirements

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.
Security Domain Fluency: You understand how different test types (vulnerability scanning, penetration testing, bug bounty/VDP) generate findings. You know what it takes to triage, validate, and prioritize them correctly.
Strategic Leader: You’ve been a contributor at the executive team level with the ability to build trust at every level and rally teams toward a long-term data strategy.
Tactical Execution: You balance the ambition of “one platform, one source of truth” with the pragmatic need to ship trustworthy improvements today.

Nice To Haves

Detection Engineering Familiarity: Exposure to writing or reviewing SIEM/Splunk-style detection rules and threat hunting queries.
ML/AI for Data Correlation: Experience building or product-managing systems that use ML for entity resolution, deduplication, anomaly detection, or risk scoring.
Security Testing Landscape: Familiarity with vulnerability scanning, penetration testing, and bug bounty/VDP program mechanics.
The “Builder” Edge: You are an active user of AI-native tools (Claude Code, Cursor, etc.) and likely have “robots” of your own running in your personal workflows.

Responsibilities

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.
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.
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.
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.
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.
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.”
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.