Staff Product Manager, Data Engine – Exposure Data

🕒 June 26

🗽 New York, North Carolina, +2 more states – Remote

🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $132k - $175k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Bitsight

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

Bitsight is a global cyber risk management leader transforming how organizations 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 market-leading innovation, Bitsight’s integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance and data analysis.

📋 Description

• 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. • 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. • 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. • Coordinate the delivery of multiple high-throughput features simultaneously, from initial definition through the implementation of robust pipelines for cyber exposure telemetry.

🎯 Requirements

• 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. • A track record of success and 5+ years in product management specifically within the cybersecurity domain, managing complex, data-heavy products. • Demonstrated ability to scope and stage work into well-defined milestones, consistently delivering complex software projects on time and at scale. • Proven ability to build strong relationships across Engineering, Data Science, Security Research and Sales, taking initiative to solve organizational problems beyond your immediate remit. • Experience mentoring other Product Managers on strategy, leadership, and resolving high-level disagreements within technical teams. • Demonstrated understanding of Large Language Models (LLMs), agentic frameworks, and the architectural shift from "Data for Humans" to "Data for Agents."

🏖️ Benefits

• medical, dental, and vision insurance • paid parental leave • flexible time off • 401(k) plan with employee and company contribution opportunities • life and disability insurance • tuition reimbursement