Required Fraud Lead (Technical Architect)
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 Lead is the principal technical authority for our fraud detection and response engine. You own the professional logic that powers our product, ensuring that the "Brain" of our platform is technically cohesive, scientifically rigorous, and market-leading.
You act as a System Architect for the fraud domain, connecting the dots between Research, Data Science, and Analytics. Crucially, you serve as the primary technical consultant for our customers, helping them understand, integrate, and optimize the fraud logic that protects their environments. You work alongside a separate Product group (who defines the roadmap) and a Platform Engineering group (who builds the infrastructure).
What youll do:
Technical Domain Architecture
Logic Blueprinting: Design the end-to-end technical logic for detection features-from telemetry ingestion to real-time response actions.
Cross-Team "Glue": Ensure that Fraud Research insights are effectively operationalized by the Data Science team and surfaced correctly by the Analytics team.
Architecture Governance: Set the technical standards for how detection logic is built, ensuring it is scalable and compatible with the Platform Engineering teams infrastructure.
Customer Fronting & Technical Advisory
Technical Subject Matter Expert: Act as the lead technical consultant for high-value customers. You will lead "deep-dive" sessions with client-side engineers and fraud experts to explain our detection methodologies and data requirements.
Integration Strategy: Advise customers on how to best leverage our technical logic within their specific business contexts.
Feedback Loop: Translate complex customer technical needs and "edge case" fraud patterns back into technical requirements for the internal fraud group.
Expert Implementation
Hands-on Prototyping: Remain an expert practitioner in Python and SQL. You will prototype new detection methodologies and perform technical validation of production models.
Quality & Observability: Design the technical frameworks that ensure our detection logic remains performant and observable in live customer environments.

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.

We are seeking a Product Technical Architect to join the elite CTO Experts team, an exclusive and global group. Our mission is to spread the power by mastering the product inside and out, guiding the world's leading cloud security teams to secure their cloud using an entirely new security approach. This role combines deep technical ownership with hands-on execution, driving product innovation and strategic influence while serving as a key bridge between Product, R&D, and customers.
WHAT YOULL DO
Own a critical technology domain.
Serve as the top technical authority for product architecture, complex escalations, and field challenges.
Identify & Close Critical Product Gaps: Proactively identify customer needs and product limitations, develop tools and Proofs-of-Concept (PoCs) to address them.
Hands-on Problem Solving: On any given day, you may model customer environments, write scripts, conduct tests, build dashboards, and implement product improvements.
Customer Engagement: Work closely with the world's leading cloud security teams, meeting directly with strategic customers to understand their challenges and architect bespoke solutions.
Develop Novel Tools: Continuously innovate by building new automations, analytical engines, and AI-driven PoCs (e.g., for test generation).
Internal Enablement: Formalize product knowledge for internal and external reference and build knowledge for customers and field technical experts.

our company has been redefining computer graphics, pc gaming, and accelerated computing for more than 25 years. its a unique legacy of innovation thats fueled by great technology-and amazing people. today, were tapping into the unlimited potential of ai to define the next era of computing. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. doing whats never been done before takes vision, innovation, and the worlds best talent. being an employee means being part of a diverse and encouraging setting that encourages everyone to perform at their peak. come join the team and discover how you can develop a lasting influence on the world. 
our company is in search of a Senior Software Architect - a creative, forward-thinking, and practical researcher to improve the framework for widespread llm learning and prediction. as part of our dynamic e2e architecture group, you will design and optimize systems driving generative ai workloads, working at the intersection of software and hardware on some of the most advanced gpu clusters worldwide. you will define how ai models are deployed and scaled in production using the spectrum-x networking platform, influencing decisions from inter-node communication and compute scheduling to system -level optimization. this is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative ai in real-world applications. your work will make a lasting impact by enabling generative ai technologies to reach real-world applications and improve global computing capabilities. 
what youll be doing: 
lead research and development of end-to-end networking solutions for distributed ai training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.
analyze current deployments, develop prototypes, and recommend architectural improvements. 
stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies. 
design, simulate, and validate new systems using novel, scalable network simulator nsx. 
develop and TEST prototypes on large-scale gpu clusters (e.g., israel-1). 
collaborate across hardware, firmware, and software teams to translate ideas into real networking product features. 
publish patents and present research at leading conferences.

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.

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.
This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.
You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.
This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.
Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive.
What drives us is simple: were stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others.
Now were growing our team-and thats where you come in. Were building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table.
What you'll do:
Full ownership and management of our monetization serving layer
Support and manage 99.999 uptime infrastructure products with billions of transactions every day.
Grow and develop a team of talented and motivated backend developers.
Own the design, execution, quality, and end-to-end delivery of highly scalable products.
Manage projects in order to ensure that all projects are delivered on time, within the scope, and within budget, and eventually meet the end clients in production
Collaboration with stakeholders as Business, Product, Operations inc.

Required Security Architect
Tel Aviv-Yafo, Gush Dan, Israel
We give businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. CX-focused, cybersecurity conscious leaders rely on our xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices. We serve many of the worlds largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce.
About the Role:
Providing an identity security platform to some of the most sensitive organizations in the world, product security is key. As a Product Security Architect, you will be responsible for designing, shaping, and evolving the security architecture of all of our SaaS services. Youll be focused on proactively reducing security risks by performing architectural reviews, providing guidance and governance for security programs, owning application security training all through close collaboration with development and DevOps teams.
What youll do:
Security Architecture & Design
Security Reviews and Threat Modeling
Application Security Training
SDLC Security
Establish and provide guidance around application security and DevSecOps security programs.

our company is seeking a sharp, innovative, and hands-on architect to help shape the future of llm inference at scale. join our dynamic e2e architecture group, where we build cutting-edge systems powering the next generation of generative ai workloads. in this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most advanced gpu clusters in the world.
youll help define how ai models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system -level optimizations. this is an opportunity to work with top engineers, researchers, and partners across our company and leave a mark on the way generative ai reaches real-world applications.
 
what youll be doing:
design and evolve scalable architectures for multi-node llm inference across gpu clusters.
develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.
collaborate with model, systems, compiler, and networking teams to ensure holistic, high-performance solutions.
prototype novel approaches to kv cache handling, tensor/pipeline parallel execution, and dynamic batching.
evaluate and integrate new software and hardware technologies relevant to model inference (e.g., memory hierarchy, network topology, modern inference architectures).
work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.
author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.

in this role, youll work to shape the future of ai/ml hardware acceleration. you will have an opportunity to drive tpu (tensor processing unit) technology that powers our most demanding ai/ml applications. youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our tpu. you'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on tpu architecture and its integration within ai/ml-driven systems.
our silicon team is driving the future of cloud data center computing. as a system on chip input output ( SOC io) architect, you will help define a new generation of our products. you will have pivotal responsibilities and serve as the organization mobile industry processor interface (mipi) focal point.the ai and infrastructure team is redefining whats possible. we empower our customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include, cloud customers, and billions of our users worldwide. we're the driving team behind our groundbreaking innovations, empowering the development of our ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our cloud, global networking, data center operations, systems research, and much more.
responsibilities
evaluate different silicon solutions for executing mipi and other io peripheries: off-the-shelf components, vendor co-developments and custom designs.
drive vendor execution in various engagements: standard component, build to specification, and co-developments.
collaborate closely with software, design, verification, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.
create high performance hardware/software interfaces.
collaborate in developing a new SOC.