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We are seeking a new Analyst to join our team. The position involves analyzing multiple logs, drawing conclusions, conducting tests and data slicing to identify critical points, utilizing automation with Python and coding, and employing AI tools. The work environment is hybrid: independent work alongside team collaboration, with cooperation across various teams. Requires high self-learning capabilities, creative thinking, strong independent and team working abilities, and documenting findings for presentation in meetings.

As a Senior Software Engineer within the Platform Infrastructure group, you will architect and develop the foundational Platform that powers all existing and future products. You will tackle the most complex, high-impact engineering challenges that span the entire stack- from low-level system configuration to distributed backend applications. Joining a global team, you will act as a technical lighthouse, conducting deep-dive research and resolving intricate performance and architectural issues that others cannot.

Responsibilities
Architect & Develop: Design and implement scalable, fault-tolerant backend services and infrastructure tools using Python, Docker, and Linux.
Deep-Dive Research: Act as the final escalation point for the R&D organization, diagnosing and resolving complex, ambiguous system-wide performance issues and "unsolvable" bugs.
Platform Innovation: Build long-term infrastructure solutions and internal tools to improve R&D efficiency and prevent recurring technical debt.
Technical Leadership: Drive architectural decisions using telemetry data and collaborate across global teams to coordinate cross-functional engineering efforts.

Were looking for a Senior Full Stack Developer to join our team and work at the intersection of Engineering, technology, and business. This role is about impact, not just ownership, not just execution, but building solutions that actually get used.
This is an ownership-heavy role with a strong backend focus (~70% backend / ~30% frontend).
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
Youre hands-on and love building, not just talking
You naturally use AI, automation, or technology to solve real problems
Youre comfortable with ambiguity, fast iteration, and learning on the go
You care about ownership, outcomes, and real-world impact

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how we measure success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

As VP of Product, you will define and lead our companys product vision, strategy, and roadmap for the U.S. market. You will serve as a key member of the Executive Leadership Team,
translating company strategy into product direction and ensuring delivery of high-impact, compliant, and scalable fintech solutions.
Responsibilities
Define and own the companys product vision, strategy, and long-term roadmap for the U.S. market
Translate strategic objectives into clear product priorities and execution plans
Lead the full product lifecycle from discovery through launch and continuous optimization
Drive development of scalable, compliant, and customer-centric fintech solutions
Continuously assess U.S. market trends, competitive landscape, and regulatory developments
Define KPIs and measurable success metrics for all product initiatives
Leverage data and insights to guide prioritization and strategic decisions
Partner cross-functionally with Engineering, Design, Marketing, Risk, Compliance, Legal, Banking, and Operations
Ensure disciplined roadmap management and effective resource allocation
Build and refine product processes to support scale and long-term business objectives.

Were looking for a Senior Backend Developer to join our team and work at the intersection of Engineering, technology, and business. This role is about impact, not just ownership, not just execution, but building solutions that actually get used.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
Youre hands-on and love building, not just talking
You naturally use AI, automation, or technology to solve real problems
Youre comfortable with ambiguity, fast iteration, and learning on the go
You care about ownership, outcomes, and real-world impact.

The Senior Software Engineer will join the Correlation team within the platform group, focusing on developing and enhancing the patented, proprietary correlation engine. This critical backend role involves leading the research, design, and implementation of algorithms and infrastructure central to the platforms high-scalability data capabilities. The teams mission is to drive innovation in cybersecurity asset management by fortifying the platform's core data intelligence.

Responsibilities
Lead the end-to-end implementation and architecture of core platform technologies, specifically the proprietary correlation engine.
Conduct hands-on research and Proofs of Concept (POCs) to solve complex engineering challenges and inform algorithm design.
Implement engineering efforts focused on achieving and maintaining high scalability and performance within the distributed backend architecture.
Establish and contribute best practices and architectural leadership to the development of backend applications.

we are seeking an experienced Data Analyst to join our the data team -
As a Data Analyst, you will play a critical role in transforming data into actionable insights to drive business decisions. You will interpret complex datasets, identify key trends, and collaborate with management to enhance our products. Your expertise will also contribute to fraud prevention initiatives and the implementation of machine learning models. Additionally, you will leverage generative AI to create innovative customer-facing features, such as the AccountantAI advisor.
In this role you will:
Utilize SQL and statistical techniques to interpret data and analyze results.
Identify, analyze, and interpret trends or patterns in complex data sets.
Work on fraud prevention and apply machine learning models to detect and prevent fraud.
Leverage generative AI for developing customer-facing features, such as AccountantAI advisor.
Develop end-to-end processes for a diverse range of data initiatives and deliver impactful results using data.

Were looking for a Data Architect to sit at the intersection of data engineering, ML systems, and platform architecture. This role is about designing the foundations that enable AI-native, low-latency experiences at scale - safely, reliably, and pragmatically.
Youll own architectural patterns, standards, and guardrails across the data platform, and work closely with Product, ML, and Platform teams to turn ambitious goals into resilient, measurable systems.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy designing systems that power AI and data products at scale
You care about clean architecture, clear contracts, and long-term platform health
Youre comfortable leading by influence across multiple teams
You balance modern, cutting-edge tech with pragmatic, fit-for-purpose decisions
You like getting hands-on when needed.

The Data Collection team is responsible for essential security components, including the Collector, Cyshark, and Collector Gateway. Our mission is to develop and maintain high-performance, deep packet inspection software. This critical software operates across customer sites and cloud endpoints globally, ensuring secure data acquisition from all servers. We are a Rust-focused team committed to designing scalable, production-ready systems.

Responsibilities
Develop high-performance deep packet inspection software for deployment at customer sites and cloud data endpoints.
Design and lead the development of new feature sets and architectural changes for core data collection components.
Take systems from development through to production, focusing on performance, and ensuring ongoing maintenance.
Apply expertise in Rust development to implement solutions with strict attention to system performance.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

Were looking for a Senior Data Analyst to join our Data Group and play a central role in how data drives our product. This role sits at the intersection of data, product, and business, turning complex datasets into insights that shape decisions and impact hundreds of thousands of users.
Youll own analytics end to end for a core dataset, work closely with Product, R&D, and Data Engineering, and help define how data quality, enrichment, and performance are measured and improved.
Hands-on experience using GenAI to accelerate analysis, automate workflows, improve data exploration, and enhance insight generation is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data domains end to end and being the go-to expert for your dataset
You like working on complex, high-impact data problems that affect product and users
Youre comfortable partnering closely with Product, R&D, and Data Engineering
You enjoy turning deep analysis into clear, actionable insights
You actively leverage AI tools to improve analytical speed, quality, and decision-making
You care about ownership, outcomes, and real impact

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations

We are searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctness and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.

Were looking for an experienced MLOps Engineer to join our team and help design, implement, and maintain scalable machine learning infrastructure and data processing pipelines.
The ideal candidate is passionate about operational excellence, automation, and building reliable systems that empower data scientists and engineers alike.
This role is responsible for enhancing, automating, monitoring, and optimizing data pipelines that collect, transform, cache, index, and manage large-scale datasets.