לוח משרות דרושים הייטק תוכנה עבודה היברידית

We are looking for a talented and experienced writer with a solid technical background and native-level English. We need you to write documentation, in-app guides, UX text, error messages and tooltips, plus help to continuously improve our knowledge base. As a Technical Writer, you'll have direct impact on how users experience our products, both in the documentation and the UI.

Responsibilities:
Document the features for your product areas.
Collaborate with lots of different teams, including product managers, developers, support, customer success, marketing...pretty much everyone.
Help manage the process in a task management tool with full visibility. Everyone has a stake in the docs, so you'll get lots of feedback. You'll need to balance requests with time-sensitive work.
Write in-app guidance and walkthroughs.
Advocate for the user with good UI text and UX suggestions.

Were looking for a Project Manager - Product & R&D to help us drive execution, improve alignment, and ensure cross-team initiatives move forward at speed. This role sits at the intersection of Product, R&D, and other business functions, ensuring projects are delivered on time, with clarity, and with measurable impact. If you thrive in fast-paced SaaS environments, love orchestrating complex initiatives, and enjoy working closely with technical and product leaders-youll fit right in.
What Youll Do
Lead Cross-Company Projects: Plan, coordinate, and track delivery of initiatives spanning Product, R&D, and other stakeholders.
Drive R&D Project Execution: Partner with Engineering and Product to manage timelines, dependencies, risks, and milestones.
Establish Scalable Project Practices: Design and document workflows, optimize cross-team handoffs, and ensure repeatability.
Facilitate Communication & Alignment: Run project reviews, coordinate updates, and keep leadership informed on progress.
Leverage AI for Impact: Apply AI tools to automate workflows, improve collaboration, and generate actionable insights.
Data-Driven Project Tracking: Define success metrics, monitor progress, and report on outcomes.

Cardo Systems, the global market leader in wireless communication systems for motorcycle, outdoor, and ORV helmets, is seeking a System Engineer to join our R&D team. This role is ideal for a system engineer with strong hardware and embedded expertise, coupled with deep knowledge of wireless and audio technologies. * Full-time position in a hybrid model (from the company’s offices at Ra'anana/from home), reporting to the VP R&D. What You’ll Do System Architecture and End-to-End Ownership
* Define and maintain system architecture and technical solutions of the product, responsible for ensuring all components - Mechanical, Electrical, Firmware, Mobile, Backend, Audio, and Operations - work together as one coherent system
* Translate product requirements into clear system and hardware specifications
* Define interfaces between hardware, firmware, RF, audio components, and mobile SW
* Identify gaps, risks, and unclear areas in requirements, and lead POCs and technical investigations to validate solutions and ensure compliance
?System Engineering Leadership
* Holistic System Oversight - Lead system design across multidisciplinary domains, ensuring optimal performance
* Work closely with hardware and RF engineers on component selection and board design, while aligning with software teams on system logic and architecture
* Ensure optimal performance in terms of connectivity, audio quality, robustness, and power consumption
* Drive system integration and lead the root cause analysis of complex system-level failures across all domains
Cross-Team Technical Leadership
* Serve as a technical focal point across hardware, firmware, mobile SW, audio, and product teams
* Coordinate technical activities to ensure system alignment and successful implementation
* Participate in design reviews and contribute to future product architecture

we are looking for a Senior Backend Engineer.
As a Backend Engineer, you build the scalable, resilient engine that powers the platform. Your mission is to design and implement high-performance services that handle massive scale, ensuring data integrity and system reliability for thousands of brands.
Working within a product team, you will translate complex business logic into robust architectural solutions, ensuring that our infrastructure can scale as fast as our customers do.
Key Responsibilities:
Distributed Systems Design: Design and build microservices and event-driven architectures that are resilient, scalable, and maintainable. You will make critical decisions on synchronous vs. asynchronous communication and data consistency.
Data Mastery: Manage the lifecycle of data across our platform. You will design efficient database schemas (SQL & NoSQL) and optimize query performance to handle high-throughput workloads.
Operational Excellence: Embrace the You Build It, You Run It philosophy. You will own your services in production, implementing observability (logging, tracing, metrics) to detect issues before our customers do.
API Craftsmanship: Build clean, secure, and well-documented APIs (REST/GraphQL) that serve as the contract between our backend services and the frontend experience.

were looking for talented builders who thrive at the intersection of AI, full-stack development, and experimentation.
What youll do:
Design, build, and iterate on AI-driven systems and prototypes that advance how brands are represented in LLMs and AI platforms.
Own projects end-to-end, from concept and architecture to deployment, evaluation, and iteration.
Collaborate cross-functionally with product, data, and research to validate ideas fast and deliver meaningful outcomes.
Explore new tools, APIs, and models to push the boundaries of whats possible with AI and data.

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.

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.

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).

Were looking for a Senior Data Architect to help shape how high-growth startups build and scale on AWS. In this role, youll design and deliver end-to-end data and analytics solutions - from architecture and pipelines to visualization and insights - guiding customers from concept through production. Youll work closely with startup founders, technical leaders, and account executives to create scalable, cost-efficient architectures that drive real business impact.
📍 Work location - hybrid from Tel Aviv
If you are interested in this opportunity, please submit your CV in English.
Responsibilities:
Design, develop, and implement data & analytics solutions to meet business requirements and create cost-efficient, highly available, and scalable customer solutions, including Well-Architected reviews and SoW.
Research and analyze current solutions and initiate improvement plans.
Collaborate with other engineers and stakeholders to ensure solutions are designed and developed according to best practices.
Lead workshops, POCs, and architecture reviews with startup customers, conferences, webinars, and more.
Stay up to date on Data Engineering and Analytics 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).