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We are seeking an experienced, strategic Senior Product Manager to lead the discovery, definition, and delivery of impactful product initiatives across platform. You will own the product vision and roadmap for your domain, balancing customer needs, technical feasibility, and long-term business goals. This role requires exceptional product thinking, leadership, data-driven decision making, and close collaboration with engineering, design, and go-to-market teams to drive innovation in the CPS space.
Responsibilities:
As a Senior Product Manager, your impact will be:
Product Discovery & Delivery: Empower and guide the product and engineering teams to discover, design, and build viable solutions to complex problems that delight customers.
Lifecycle Ownership: Own the end-to-end product lifecycle from strategy to execution-converting high-level market feedback, AI capabilities, and technical requirements into successful, scalable releases.
Strategic Roadmap: Play a key role in driving the product roadmap planning and prioritization process, synthesizing diverse inputs into a clear, forward-looking product definition.
Go-To-Market Partnership: Partner closely with Sales, Marketing, and Customer Success to drive product adoption, enable global teams, and support strategic GTM efforts.
Cross-Functional Collaboration: Work across horizontal R&D teams to ensure scalable, unified, and cohesive platform delivery.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

We're looking for a Senior Full Stack Engineer to join our team!

A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

We're looking for a Senior Backend Engineer to join our team.

A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like Typescript, Node.js, AWS and scalable databases to build a unique experience in the world of B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

As an Engineering Manager, you will lead a tight-knit, dynamic team of engineers who take pride in high coding standards and modern development practices. You will own one of our impactful, user-facing product areas, making strategic decisions, enhancing workflows, and supporting your team members.

Using technologies such as React, Node.js, AWS, and scalable databases, you will build a unique experience in the world of B2B payments.

Each team member is an all-around player who influences the product from the overall experience to development, and you will be no different. You should be passionate about building a product end-to-end, overseeing the UX, design, coding, testing, and deployment phases.

As a Data Scientist you will be working with colleagues from various disciplines - Research Engineers, Analysts, and other Data Scientists - on statistical methods and machine learning techniques and Gen-AI (both supervised and unsupervised) in order to develop classification and anomaly detection algorithms.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We're looking for an experienced Product Manager to assist with the strategy and roadmap for key areas of Infinidat's storage portfolio. At this role, you will work closely with R&D, customers, and go-to-market teams to translate enterprise requirements into product capabilities.

Responsibilities:

* Own the product roadmap and backlog for an assigned area of the InfiniBox/InfuzeOS portfolio.
* Gather and prioritize requirements from enterprise customers, Fortune 500 accounts, and field/sales teams, understand pain points and translate business needs into product and feature improvements.
* Write PRDs and detailed feature specifications for engineering, and confirm key requirements are met using hands-on validation.
* Partner with R&D on release planning, scoping, and prioritization trade-offs.
* Develop and maintain supporting documentation and best practices guides for the product area(s) owned, including deployment/configuration guidance, technical reference material, and internal enablement content for sales, support, and professional services.
* Support pre-sales, competitive positioning, and customer/analyst conversations.
* Track storage industry and market trends (AI/data workloads, cyber resilience, hybrid cloud, file and block) to inform strategy.
* Collaborate cross-functionally with marketing, sales engineering, professional services, and support organizations.

Were hiring a Validation data Scientist to join a leading Fintech company and work on the validation of Machine Learning -based credit models. Contract: Temporary position until the end of the year, with an option to extend. Location: Tel Aviv, on the train line. Work model: Hybrid - 2 days from home per week.
?What will you do Validate ML-based credit models, assessing performance, data quality, robustness, and conceptual soundness. Challenge model assumptions and propose alternative approaches when needed. Analyze model strengths and weaknesses and provide practical recommendations for improvement. Generate insights and analyses to support data -driven decisions. Prepare thorough model validation documentation in accordance with regulatory standards. Support ongoing monitoring and improvement of predictive models.

We are a leading provider of sales engagement and revenue optimization solutions, empowering businesses to streamline their sales processes and drive growth. As a company that advocates a customer-first approach, we're known for our professional Success team and are hiring an AI Solution Expert. As an AI Solution Expert, you will serve as the technical trusted advisor for our customers, bridging AI capabilities with their specific business goals and revenue workflows. You will embed deeply with customers. Part consultant, part engineer, part strategic advisor: leading AI sessions, configuring AI-driven workflows using our MCP, training users on best practices, and ensuring measurable business outcomes. You'll collaborate closely with Customer Success, Product, Support, and Engineering teams, and will be the go-to expert for any AI-related technical solution. This is an ideal role for someone who thrives at the intersection of cutting-edge AI technology and real-world business challenges. This role is ideal for someone who thrives on ambiguity, moves fast, and finds equal satisfaction in writing clean code and presenting a solution to a CFO. Key Responsibilities
* Embed deeply with customers to understand their technical environment, business processes, and AI workflows and then design and build solutions that fit.
* Build and deploy AI-powered workflows, MCP-based automations, and intelligent features within the platform tailored to each customer's use case taking into account the integration landscape such as salesforce, HubSpot, Dynamics, NetSuite, and billing platforms.
* Leverage LLM, AI, APIs, webhooks, data pipelines, automation scripts.
* Lead technical AI sessions - review requirements, demo solutions, help build agents and perform training.
* Translate complex AI and technical concepts into clear, tangible business value; operate as a trusted advisor, not just an Implementer.
* Identify and resolve technical blockers proactively; operate with confidence under ambiguity and incomplete information.
* Build reusable engineering assets: integration libraries, prompt templates, and AI workflow scaffolding that scale across the customer base.
* Act as a direct feedback loop from the field to the Product and Engineering teams surfacing patterns, edge cases, and AI feature opportunities discovered during deployments.
* Monitor post-go-live and drive continuous improvement.

abras CRM Division is hiring a CRM system Analyst to join our team in Haifa! We are looking for an experienced system Analyst to join a team responsible for the specification and development of the digital assets of a leading energy company, working in a complex organizational environment with multiple interfaces. The role includes analyzing business needs, defining business processes and system requirements, writing functional and technical specifications, and leading solutions from requirements through implementation, with a strong focus on Microsoft Dynamics 365 CRM and integrations with the organizations digital assets. Key Responsibilities:
* Gather and analyze requirements from users and business and technology stakeholders.
* Write functional and technical specification documents.
* Define business processes and translate them into system requirements.
* Specify solutions and customizations in Microsoft Dynamics 365 CRM.
* Define interfaces and integrations between CRM, core systems, and digital assets.
* Work with websites, forms, and digital customer service processes.
* Collaborate closely with development teams, QA, project managers, and business stakeholders.
* Lead and support development, testing, implementation, and go-live processes.
* Handle changes, enhancements, and improvements to existing systems.

we are seeking a Professional Embedded Linux Tech Lead to guide our team in developing cutting-edge Embedded systems. Join us to lead innovative projects and drive technical excellence in the field of Embedded Linux systems.
Responsibilities:

* Lead and mentor a team of Embedded Linux developers.
* Design and implement Embedded Linux software solutions.
* Collaborate with cross-functional teams to integrate Embedded solutions.
* Ensure code quality and maintainability through code reviews.
* Troubleshoot and resolve complex technical issues.
* Stay updated with the latest developments in Embedded Linux technologies.

The Falcon Secure Access (FSA) team is expanding. As a Senior Software Engineer on our team, you will architect and deliver a next-generation secure access platform that converges Zero Trust Network Access with browser-native security.

You'll build the core systems that enable users to seamlessly and securely access internal sites, private applications, and cloud resources directly from the browser - without legacy VPNs or remote desktops - while enforcing real-time protection against zero-day exploits, phishing, data exfiltration, and unauthorized access.

This role sits at the intersection of network engineering and browser security: you'll design and implement advanced proxy communication, secure tunneling, and identity-aware routing - all operating at the browser's core to deliver holistic protection including DLP, insider threat detection, SaaS security, and continuous zero-trust verification.

What You'll Do:

Design and build ZTNA infrastructure - implement zero-trust access policies, secure tunneling, and identity-aware network routing that replaces traditional VPN architectures.

Develop advanced networking solutions - build and optimize proxy communication layers, WebSocket-based transport, and encrypted client-to-server channels that handle millions of concurrent connections.

Architect high-scale backend systems - design distributed microservices for policy enforcement, real-time threat detection, and access control at scale using Node.js / TypeScript.

Implement secure client-server communication - design highly secured agent-to-cloud architectures with certificate pinning, mutual TLS, and encrypted tunneling protocols.

Build browser-native security components - develop browser extensions and agents (Chrome, Edge, Firefox etc.) that enforce data protection, prevent data leakage, and provide granular visibility and control.

Own features end-to-end - from design through delivery, including deployment and monitoring.

Influence architecture and roadmap - play a key role in architectural decisions, building toward an efficient distributed zero-trust architecture.

Research and develop - drive new initiatives and POCs in zero-trust access domains and browser security.

Collaborate cross-functionally - work with security researchers, product, and platform teams across multiple locations to solve complex problems.

You will build globally distributed, fault-tolerant, and highly scalable identity threat detection systems that analyze billions of authentication events per day to detect sophisticated Active Directory attacks, credential theft, and lateral movement across hybrid and multi-cloud (Azure/Entra, Okta, AWS) environments. You'll design, lead, and implement the next generation of our Identity Protection detection platform - evolving it from on-prem appliances toward cloud-native, event-streaming microservices.

What You'll Do

Design and implement real-time detection rules and pipelines over high-throughput Kafka event streams, maintaining sub-second detection latency at massive scale.

Build the pluggable detection engine and rule framework that turns raw authentication telemetry into indicators, and indicators into enriched, customer-facing alerts.

Develop machine-learning and behavioral-anomaly models, and integrate LLM-based detection reasoning (e.g. AI-driven severity scoring) into production detection flows.

Translate security research into production-grade detections, partnering with security researchers who guide you on the threat landscape.

Own detections in production: observability, latency SLOs, safe per-customer rollouts (feature-flag-gated), and incident response for the detection pipeline.

Work across a polyglot stack - Python for detection logic and ML, Go for the high-performance streaming services, Java for backend alert management.


This position is based in our Ramat-Gan, Israel office and requires strong leadership presence and ability to work closely with cross-functional teams.

As a Software Engineer in the Browser Protection team, you will play a key role in building a browser protection platform focused on holistic security protection, including: data protection, data loss prevention, Identity protection and SaaS security. In this role, youll be responsible for developing our next-gen browser protection solutions, that integrate seamlessly with our security platform and leverages our agent. The product provides real-time protection against data leaks, unmanaged devices risk, insider threat, unauthorized data access, and other security risks. Working in close collaboration with our cross-functional team, youll leverage your expertise to build a high-performance, secure browser solution and extension that ensures user data is safe without impacting browsing experience. This position offers a unique opportunity to influence the future of data protection technology in our by delivering an extension that empowers users and protects them in todays dynamic digital landscape.

What You'll Do:​

Design and implement CRWD browser protection suite, including browser extensions (e.g., Google Chrome, Edge etc.), leveraging our endpoint sensor and Leverage in-depth chromium knowledge to develop cybersecurity capabilities within the browser.

Own features from design to delivery.

Impact product roadmap and architectural design.

Collaborate with multi-functional team in various physical locations.

Troubleshoot issues with the product as reported from customers responsively.

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.