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Remote USA, United States of America
Remote only
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.
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.
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 the architectural shift from "Data for Humans" to "Data for Agents."
Belonging & Inclusion. Bitsight is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
Culture. We put our people first. Bitsight offers best in class benefits. We devote the same energy to nurturing our company's inclusive culture as we apply to serving our customers' needs. Working at Bitsight will give you the opportunity to fulfill your professional goals and expand your skills.
Open-minded. If you got to this point, we hope you’re feeling excited about the job description you just read. Even if you don’t feel that you meet every single requirement, we still encourage you to apply. We’re eager to meet people that believe in Bitsight’s mission and can contribute to our team in a variety of ways.
Bitsight also provides reasonable accommodations to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email recruiting@bitsight.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
Additional Information for United States of America Applicants:
Bitsight is committed to compliance with all fair employment practices regarding citizenship and immigration status.
Bitsight will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Qualified applicants with criminal histories will be considered for employment consistent with applicable law.
This position may be considered a promotional opportunity pursuant to the Colorado Equal Pay for Equal Work Act.
The anticipated hiring base salary range for this position is US$132,000 to $175,000 annually for US-based employees. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations, is based on a full-time work schedule, and is Bitsight’s good faith estimate as of the date of this posting. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
In addition to base salary, this role is eligible for participation in a bonus or commission plan and an equity grant. Bitsight also offers a competitive benefits package, including but not but limited to medical, dental, and vision insurance; paid parental leave; flexible time off; a 401(k) plan with employee and company contribution opportunities; life and disability insurance; and tuition reimbursement.