לוח משרות דרושים עבודה היברידית

We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing.
You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company.
Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility.

What you will do:
Design and implement infrastructure for high-volume data processing.
Continuously improve performance, cost, and reliability at scale.
Collaborate with frontend teams on customer-facing features and applications.
Work with stakeholders across the company to ensure data processes meet their requirements.
Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices.

Main responsibilities:
Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.

Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

We are looking for an experienced Product Manager to join our product team and lead initiatives focused on Financial Crime solutions. This role is ideal for someone with hands-on experience building products in the financial crime domain and a deep understanding of how banks detect, investigate, and prevent fraudulent and scam-related activity.

Responsibilities:
Own the product roadmap for Financial Crime capabilities, covering Fraud, Scams, and related risk use cases.
Work closely with Engineering, Data Science, and UX to build scalable, data-driven solutions.
Partner with Customer Success, Sales, and Solutions teams to support deployments, upgrades, and go-to-market efforts.
Engage directly with customers to understand real-world fraud and scam workflows, operational challenges, and regulatory constraints.
Analyze market trends, regulatory developments, and competitive offerings in the Financial Crime space.
Drive prioritization decisions based on customer impact, risk reduction, and business value.
Lead agile product processes, including backlog management and release coordination.

The Research team at our company takes on the immense challenge of identifying and stopping malicious activity across vast streams of traffic. By crafting innovative solutions, we empower our products to make trillions of decisions every day with unparalleled precision.
Our work directly impacts the safety of the internet and ensures that remains the best-in-class solution for our customers, standing strong against the ever-evolving tactics of attackers.


Were looking for a Senior Web Security Researcher to be part of a team of highly skilled professionals that include security researchers, data researchers, data scientists and software engineers who continuously hunt for threats, evaluate and develop new detection techniques, and share intel and attribution for cybercrime activity with the goal of protecting our customers while keeping the internet human.
What you'll do:

Play a lot with the web-browsers, trying to find differences in behavior between them.

Research and develop signal collection on both mobile and desktop, which enables detection and improve our protection

Find ways to detect automation, for example, tools like Selenium, Playwright or Puppeteer.

Understand customer specific requirements, deliver with impact and exceed customer expectations.

Discover adversary tactics, techniques, and procedures leveraged by bots.

Create and validate data insights to enhance detection excellence.

Share security research topics through blogs, research talks, knowledge base and external engagements including conference presentations, detailing your discoveries for internal and external sharing.

Find bad stuff on the internet, see if you can figure out how it is done, document it.

Red team, experiment, and develop new tactics for various kinds of fraud and to bypass our detection, no need to wait for an attack to be discovered and used by adversaries first.
Stay abreast of cyber security trends and events related to our mission.

Contribute high impact work that substantially benefits team level metrics and OKRs.

Develop techniques, tools and scripts to simplify yours and others work.

Are you passionate about connecting top talent with cutting-edge technology roles?
We are looking for a dynamic and skilled Senior Talent Acquisition Specialist to support our R&D and G&A organization based in our Tel-Aviv Headquater.
Our Recruiting team is the first gatekeeper and the first interface for candidates.
We are making sure to partner with our hiring managers to facilitate the hiring process while maintaining the best candidate experience.
In this role, you will lead full-cycle recruitment for high-impact positions in the tech and cyber industries,
work closely with hiring managers to define position requirements and guide candidates from initial contact to contract signing.
What will you do?
Partner with hiring managers to determine staffing needs
Design and implement an overall recruiting strategy
Develop and update job descriptions and job specifications
Prepare recruitment materials and post jobs to appropriate job boards/newspapers/colleges etc.
Source and recruit candidates by using databases, social media, etc.
Screen candidates resume and job applications
Conduct interviews using various reliable recruiting and selection tools/methods to filter candidates within schedule
Monitor and apply HR recruiting best practices
Provide analytical and well documented recruiting reports to the rest of the team
Act as a point of contact and build influential candidate relationships during the selection process
Promote employer branding.

Were seeking an Account Executive to drive business growth in the Israeli territory, ensuring a great customer experience. Youll be responsible for the sales process, from prospecting to closing a deal.
📍 Work location - hybrid from Tel Aviv
Responsibilities:
Develop and execute successful targeted territory development plans to help achieve or exceed growth, revenue, and margin targets
Develop and manage all phases of the territorys business development cycle, including managing proposal negotiations, the statement-of-work, and capabilities to the client's business and positioning relative to competitors
Prospect new customers and communicate with the AWS reps regularly
Maintain and develop strategic vendor relations with AWS
Regularly attend business events to promote and educate prospective clients on the benefits
Work collaboratively with Marketing, Operations, Delivery, and Solutions Architects
Commitment to regular business travel locally and abroad

Were looking for a Senior Account Solutions Architect to provide technical post-sales guidance to strategic customers while building long-term relationships, identifying pain points, and addressing them.
📍 Work location - hybrid from Tel-Aviv
Responsibilities:
Strategic Advisory: Act as the primary technical advisor and "voice of the customer" for a strategic portfolio of local and EU-based clients.
Post-Sales Architecture: Serve as a pre-sales Solutions Architect to guide customers on best practices and optimal cloud usage.
Relationship Management: Build strong relationships with stakeholders from senior executives through to technical teams.
Technical Support: Provide advanced support for complex technical issues and work with other internal teams as appropriate.
Business Growth: Collaborate with Account Managers to drive service adoption and capitalise on untapped opportunities.
Performance Metrics: Monitor account metrics, including CSAT and financials.
Travel: Nationally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).

Were looking for a Senior AI/ML Architect to help shape how our customers implement AI. In this role, youll design scalable, end-to-end ML solutions, from classical models to generative AI, and guide customers from concept to production. Youll work closely with C-level leaders, data scientists, and engineers to deliver impactful, real-world AI outcomes.
📍 Work location - hybrid from Tel Aviv
If you are interested in this opportunity, please submit your CV in English.
Responsibilities
Design and deliver end-to-end ML solutions, including classical ML, deep learning, and generative AI
Create technical proposals, reference architectures, and deployment plans
Lead workshops, POCs, and architecture reviews with startup customers
Translate business needs into scalable ML systems
Implement distributed training workflows and LLM serving infrastructure
Build MLOps pipelines for tracking, versioning, and monitoring
Provide technical guidance to customers and internal teams
Stay up to date on ML trends and contribute to internal enablement
Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).