Staff Product Manager, Data Engine/Exposure Data

Requirements

• Security Expertise: Extensive prior experience as a security practitioner (e.g., Security Researcher, SOC Analyst, or Security Engineer) with a deep understanding of how telemetry is used to identify risk.
• Cybersecurity Product Management: A track record of success and 5+ years in product management specifically within the cybersecurity domain, managing complex, data-heavy products.
• Staff-Level Execution: Demonstrated ability to scope and stage work into well-defined milestones, consistently delivering complex software projects on time and at scale.
• Cross-Functional Leadership: Proven ability to build strong relationships across Engineering, Data Science, Security Research and Sales, taking initiative to solve organizational problems beyond your immediate remit.
• Mentorship : Experience mentoring other Product Managers on strategy, leadership, and resolving high-level disagreements within technical teams.
• AI Fluency: Demonstrated understanding of Large Language Models (LLMs), agentic frameworks, and th

Benefits

Additional Information

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis. We invented the cyber ratings industry in 2011 Over 3000 customers trust Bitsight Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis. We invented the cyber ratings industry in 2011 Over 3000 customers trust Bitsight Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote The Bitsight Data Engine is the bedrock of global cyber risk insight, transforming petabytes of raw internet telemetry into the "Source of Truth" for thousands of organizations, ensuring the data is "agent-ready" for autonomous AI consumption. As a Staff Product Manager, you will bridge the gap between deep security research and product strategy, ensuring our data collections map directly to the high-stakes "jobs to be done" of modern CISOs. This is a leadership role for a former security practitioner or researcher who understands how the right data can be a game changer for effectively managing cyber risk. Core Responsibilities Define Product Data Strategy: Lead the articulation of the long-term data vision, ensuring that Bitsight's collection capabilities evolve ahead of the changing threat landscape, specifically architecting our data repositories into "agent-ready" intelligence layers. Cross-Functional Execution & Delivery: Lead complex, multi-team projects from inception to delivery. You will synchronize engineering, data science (including AI/ML model deployment and evaluation), and security research workflows to ensure high-velocity execution, removing organizational bottlenecks and ensuring product is delivered efficiently without compromising quality. CISO Empathy & Translation: Act as the primary translator between technical engineering trade-offs and the business outcomes required by security leaders, ensuring every data point serves a clear practitioner need. Scale Telemetry Pipelines: Coordinate the delivery of multiple high-throughput features simultaneously, from initial definition through the implementation of robust pipelines for cyber exposure telemetry. The Impact Exposure Visibility: By ensuring our data is sourced and attributed with unmatched accuracy, you provide the foundational visibility necessary for customers to identify and close exposure gaps across their entire digital footprint, eliminating critical blind spots. Intelligent Prioritization: Your strategy for AI-driven data enrichment will enable CISOs to move beyond "data noise" to high-fidelity risk context, allowing them to prioritize limited security resources on the vulnerabilities that pose the greatest threat to their organization. This includes overseeing the use of AI for enriching incomplete data and scaling our entity attribution. Remediation Velocity: You will reduce the latency between "threat emergence" and "actionable visibility," enabling organizations to identify, prioritize, and remediate exposures before they can be exploited by adversaries.

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