Product Manager, Data Engine​/Exposure Data

Staff Product Manager, Data Engine/Exposure Data Skip to main content

We use cookies to make the safest and most effective website possible.# Careers Staff Product Manager, Data Engine/Exposure Data page is loaded## Staff Product Manager, Data Engine/Exposure Data Apply locations:
Remote USAtime type:
Full time posted on:
Posted Todayjob requisition :
JR101314

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:
**…