לוח משרות דרושים מנהל פרויקטים באבטחת מידע / סייבר

Required Fraud Group Manager
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
The Fraud Group Manager leads the professional organization responsible for the "Intelligence Core" of our fraud detection products. You manage three specialized teams-Fraud Data Science, Fraud Research, and Fraud Analytics-that implement the core logic our customers use to fight fraud.
In this role, you aren't just a strategist; you are a Production Owner. You are responsible for the health, observability, and continuous improvement of detection logic in live environments. You work in a high-impact triad with Product Management and Platform Engineering, serving as the bridge between deep technical expertise and the customers who rely on our product to protect their business.
What youll do:
Group Leadership & Customer Engagement
Direct Management: Lead and scale a multidisciplinary organization of Data Scientists, Researchers, and Analysts.
Customer Fronting: Act as the primary technical fraud authority for our customers. You will join high-stakes meetings with CISOs and Fraud Heads to explain our detection logic, address performance concerns, and align our roadmap with their evolving threat landscape.
Stakeholder Orchestration: Partner with Product Management to define the "what" and Platform Engineering to ensure the "how" (infrastructure) meets your group's logic requirements.
Production Ownership & Quality Systems
Detection Observability: Own the end-to-end monitoring and health of fraud detection in production. You ensure that we have the visibility to know if a model is degrading or a specific customers detection is underperforming.
On-Call for Performance: Serve as the escalation point for critical detection failures or sudden spikes in false positives/negatives, ensuring rapid mitigation for impacted customers.
Quality Assurance Framework: Create and maintain a robust quality system (CI/CD for fraud logic) to ensure smooth, ongoing updates to detection models and heuristics without disrupting customer environments.
Lifecycle Management: Oversee the continuous tuning and optimization of live detection logic based on real-world feedback loops.
Technical Execution
Hands-on Vetting: Maintain deep technical fluency. You must be able to review Python code, validate complex SQL queries, and interpret model performance metrics to ensure they meet our high standards.
Logic Governance: Define the schemas and standards for how detection logic is developed, ensuring that research insights are effectively operationalized by the Data Science team.

Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.

Join us in expanding security platform, where innovation meets impact.

What Youll Do:

Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments

Design and implement distributed systems that process massive volumes of security data with high reliability and low latency

Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads

Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love

Own features end-to-end - from design and implementation through deployment, monitoring, and iteration

Drive technical excellence through code reviews, architectural discussions, and mentoring team members

Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale

Required Engagement Manager
Israel: Tel Aviv/ Hybrid (Israel)
R&D | Full Time | Job Id: 25158
Why Join Us?
The Engagement Manager plays a key role in shaping, packaging, and delivering our Research service offerings to both internal stakeholders and external clients. This position bridges technical expertise with business engagement, ensuring that our Research deliverables are transformed into compelling, value-driven products that support sales, strengthen customer relationships, and enhance operational efficiency across the organization.
The ideal candidate combines cyber expertise with strong communication, coordination, and client-facing skills, ensuring seamless delivery and alignment between our Research, sales teams, and customer expectations.
Key Responsibilities
Productization of our Research Deliverables:
Translate our research outputs, intelligence materials, and technical deliverables into appealing, consumable offerings for internal teams and external clients.
Continuously refine materials to align with market needs, customer expectations, and sales opportunities.
Internal Stakeholder Engagement:
Proactively engage with internal teams to gather requirements, identify gaps, and determine the most effective types of deliverables.
Evaluate how our Research outputs can support internal efficiency, drive sales, and strengthen alignment across business units.
Sales & Customer Engagement:
Act as a proactive partner to the sales organization throughout the entire customer engagement cycle.
Position our Research services offerings to prospective clients, increasing their attractiveness and supporting contract advancement.
Serve as the primary point of contact (POC) for customers engaging with our Research, ensuring smooth communication and expectation management.
Coordination & Offering Development:
Serve as the internal coordinator within our Research for building structured, scalable, and saleable service offerings.
Work cross-functionally to ensure that offerings are aligned with CPR capabilities, market demands, and sales priorities.

we are seeking expert ai engineers who are passionate about advancing cybersecurity research to join our team. this is an opportunity to work on groundbreaking projects that involve ai to secure high-performance networking systems.
what you'll be doing:
research novel ai techniques to secure next-generation networks and apply them to existing nvidia products.
investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
collaborate with nvidia researchers to explore innovative ways to improve security in networking products.
contribute to projects that have potential real-world impact on nvidia's product portfolio.

Required Head of Research
About the role:
As the Head of Research, you will lead our threat-research, security-innovation, and vulnerability-discovery efforts. You will define the strategy for how we uncover threats, identify novel attack vectors, influence product direction, and contribute thought leadership to the cybersecurity community. You will manage and grow a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful. This role emphasizes strong people leadership and cross-functional execution, alongside technical depth and hands-on research judgment.
What youll do:
Develop, own and evolve the research strategy by defining high value focus areas (for example misconfigurations, identity threats, workload vulnerabilities, and emerging attack techniques), and ensure alignment with our product roadmap and business objectives.
Lead, coach, and mentor a multidisciplinary research team (researchers, threat analysts, and engineers).
Build a healthy, high-performing org, including hiring, onboarding, and performance management.
Partner closely with product and engineering leadership to turn research insights into concrete roadmap items, detection logic, and customer value.
Drive discovery of new vulnerabilities, attack techniques, or adversary behaviors across cloud and modern infrastructure environments (for example containers, serverless, data stores, IAM).
Define metrics for research impact (for example vulnerabilities discovered, time to validate and operationalize new findings, research-driven product improvements, external reach).
Establish and maintain external partnerships (industry peers, academic groups, independent researchers) to expand our capabilities and pipeline.
Publish and present research findings (blog posts, white papers, conference talks).
Lead vulnerability disclosure and responsible communications.
Ensure the research function has the right infrastructure and processes (tooling, sandboxes, repeatable experimentation, documentation standards).
Stay current with the threat landscape, emerging technologies, attacker tradecraft, and relevant compliance or regulatory shifts.