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Eitan Medical is seeking an experienced Embedded Software Engineer to help develop advanced, reliable, and connected infusion systems. This role is ideal for a hands-on engineer with deep technical expertise who enjoys tackling complex challenges, owning system components end-to-end, and collaborating closely with multidisciplinary teams to deliver high-impact medical devices.
What You’ll Do
* Participate in the full development lifecycle from concept, architecture, and coding to integration, testing, verification, and production validation.
* Design and implement embedded software for safety-critical medical devices.
* Develop firmware, drivers, communication protocols, and RTOS-based components.
* Collaborate with hardware, product, QA, and cloud teams to define and refine system requirements.
* Support board bring-up and perform hardware–software integration and deep system debugging.
* Build robust diagnostics, monitoring, and logging capabilities to enhance field performance.
* Troubleshoot complex issues involving timing, real-time behavior, connectivity, and stability.
* Contribute to architecture discussions, code reviews, and continuous engineering improvements.
* Ensure development aligns with medical-grade quality, safety, and cybersecurity standards.

Crossix Data Platform is a framework which connects huge patient healthcare data from multiple sources in a privacy-safe method on a daily basis to maintain a current view of the US healthcare market. The result enables two core businesses within our company. Crossix Analytics, which is dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions. And Compass, which enables clients to study and analyze de-identified healthcare data for various needs. Both businesses are positioned at the center of big data, innovative technology and provide most Life Sciences companies with insights to help make strategic business decisions, and drive improved patient outcomes.
As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create systems, feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems and optimize performance, throughput and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data.

we are looking for an incredible Product Designer to join our growing team. You would design stunning, clean, and intuitive interfaces that our clients and their thousands of end-users will love. We strive to provide our clients with world-class embedded finance solutions because their success is our success.
Key Responsibilities
Create user-friendly and user-focused products that we can take pride in
Truly understand our clients, their challenges and opportunities, and use that knowledge to continuously add more value
Own the full design cycle, from brainstorming to delivery (personas, use cases, information architecture, low and high fidelity interactive mockups, usability testing etc.)
Define a visual language that aligns with our brands voice and values, to be used across our products, websites, landing pages, printed publications and social media presence
Take part in building and maintaining a design system that will be used by our design and development teams going forward
Contribute to our overall approach and standards. Set a high bar for design quality and help teams ship quality products at scale.

As a Performance Marketing Manager at our coimpany, you will manage and optimize our paid acquisition campaigns across Google Ads, LinkedIn, and retargeting platforms. You will be responsible for executing, monitoring, and improving campaign performance to drive efficient lead generation in a B2B cloud security environment.
Job Responsibilities
Manage and optimize paid campaigns across various PPC platforms, including Google Ads, LinkedIn Ads, and retargeting platforms
Execute campaigns end-to-end: technical events and measurement setup, targeting, bidding, and optimization
Monitor campaign performance and continuously improve KPIs such as CTR, CPC, CPV, and conversions
Analyze campaign data and provide actionable insights
Conduct A/B testing across ads, audiences, and messaging
Collaborate with Marketing and Design teams to improve ad creatives
Ensure proper tracking and campaign setup using Google Tag Manager
Manage campaign tracking via Hubspot, Salesforce, and GA4.

we are looking for a technically strong Product Manager to lead the development of our cloud security platform. In this role, youll work closely with engineering, design, customer success, and go-to-market teams to define product requirements, prioritize features, and deliver solutions that address complex security challenges in the cloud.
Were looking for someone with a deep technical background and hands-on experience in cybersecurity. If you have expertise in security technologies, understand the challenges of securing modern cloud environments, and thrive in fast-paced start-up settings, this is your opportunity to make a real impact.
Job Responsibilities
Own the product lifecycle from strategy and roadmap through execution and release.
Translate customer needs and market opportunities into clear product requirements and user stories.
Collaborate with engineering teams to deliver high-quality, scalable, and secure solutions.
Conduct customer and market research to identify gaps, validate ideas, and inform product strategy.
Work closely with sales, marketing, and customer success teams to drive adoption and enable go-to-market success.
Monitor product performance, gather feedback, and iterate quickly to improve customer value.
Stay ahead of industry trends in cloud and security to ensure our company remains an innovator in the market.

we are looking for an experienced QA Automation Engineer to ensure the quality, reliability, and performance of our cloud-native detection and response platform. You will design and scale our automation infrastructure, own the end-to-end testing lifecycle, and help maintain the highest engineering standards across our product.
If youre passionate about building robust automation frameworks from scratch and driving quality in complex SaaS environments, this role is for you.
Job Responsibilities
Design, build, and maintain scalable Playwright-based automation frameworks for both backend and frontend testing.
Own the full testing lifecycle: requirement analysis, test planning, execution, reporting, and monitoring.
Develop and maintain automated test suites using Playwright and TypeScript.
Integrate automation into CI/CD pipelines (GitHub Actions).
Manage defects using Jira and Xray, including Root Cause Analysis (RCA).
Perform backend validation using SQL and API testing.
Collaborate closely with developers to ensure high testability and continuous quality improvement.

We are looking for a Senior Applied AI Researcher to design, evaluate, and deploy AI systems that operate over complex security data and workflows.
This role focuses on building reliable agent-based systems, developing semantic representations of security data, and enabling AI systems to reason across structured and unstructured sources. The work spans research, experimentation, and productionization.
You will work on problems such as relational discovery, schema alignment, semantic modeling, and graph-based retrieval, and turn promising approaches into real systems used by security teams.
What Youll Do
Design and build AI systems for security analysis and automation.
Develop methods for relational discovery, schema matching, and semantic modeling across heterogeneous security data.
Design and run evaluation and benchmarking frameworks for models, agents, and end-to-end systems.
Experiment with agent architectures, tools, and orchestration strategies.
Investigate system behavior, analyze failure modes, and improve system reliability.
Collaborate with engineering teams to bring research prototypes into production systems.

We are looking for a motivated and experienced Full-Stack Engineer with 3+ years of hands-on experience to join one of our teams. As a Full-Stack Engineer , you will take ownership of features across the entire development lifecycle - from initial concept and design to deployment and maintenance in an enterprise-grade production environment. This role involves close collaboration with the product team to turn ideas into high-quality, functional software.

Responsibilities:

Develop and lead the end-to-end implementation of new features and product offerings
Design, build, and maintain efficient, reusable, and reliable code across the full stack
Collaborate with UI/UX designers, product managers, and engineers
Participate in all phases of the development lifecycle, including analysis, design, coding, testing, and deployment
Ensure application performance, quality, and responsiveness

As a Research Engineer , you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:

Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development

We are looking for a skilled QA Automation Engineer (backend oriented) to join our Parking domain. You will play an important role in ensuring the quality of mission-critical systems that serve millions of users daily.
The majority of the role is automated testing combing AI Skills but combines manual as well.
This is a great opportunity for somebody who want to enhance infrastructures, develop in engineering and great best practices and handle scaled distributed systems based on AWS.
Responsibilities
Design and develop automated tests end to end for new and existing features, execute mainly Backend orientation API tests, including automation for backend services.
Apply AI tools (e.g., Cursor, Claude Code) in day-to-day work to generate code, build automation, and continuously improve testing workflows.
Write and maintain detailed test cases and documentation.
Identify, record, and track software defects and issues, ensuring timely resolution.
Work with tools such as Qase.
Collaborate with cross-functional teams to understand product requirements and design effective testing strategies.

Were seeking a Security Lead to join our team. This role is ideal for someone who can shape security foundations from the ground up. Youll solely build, lead and scale our security program across product, infrastructure and internal operations. This is a hands-on leadership role in which you will define our security strategy, drive execution, take ownership of maintaining security within our cloud environment and ensure that our customers, partners and employees can trust our platform and data handling.

Responsibilities

Embed secure-by-design and secure-by-default practices into the SDLC, partnering with engineering on threat modeling, secure code reviews, SAST/DAST, vulnerability management, and integrating practical, developer-first security solutions directly into development workflows.
Manage hands-on application and cloud security execution, reviewing code, hardening services, improving AWS/GCP configurations, IAM, networking, and secrets management, building cloud posture management, and integrating security into CI/CD, containers, and infrastructure-as-code.
Drive LLM and GenAI security innovation, implementing guardrails, prompt injection protections, MCP authorizations, and AI-specific security controls to ensure resilient and safe AI-powered systems.
Own incident response and security operations end-to-end, including preparation, detection, mitigation, root-cause analysis, remediation, communications, and developing internal standards, playbooks, and automation to scale the function from scratch.
Lead privacy, data lifecycle, and compliance initiatives, owning SOC 2, ISO 27001, GDPR, and regulatory readiness, while representing security in customer and partner discussions and translating technical controls into business assurance.

In this role, you will take full ownership of complex backend projects end-to-end in a high-scale, consumer-facing domain. We value engineers who think ahead, identify problems before they surface, and drive solutions independently -- while collaborating effectively across teams.
Responsibilities
Own complex backend projects end-to-end: from functional spec through architecture, development, deployment, and production monitoring.
Design, develop, and maintain scalable backend microservices serving millions of daily users.
Build and manage cloud-native, event-driven architectures on AWS and distributed systems.
Design and build reusable AI-driven components (e.g., sub-agents, skills, and templates) to streamline workflows and improve system efficiency, leveraging modern AI tools and technologies
Proactively identify technical debt, performance bottlenecks, and architectural gaps -- and drive initiatives to address them.
Collaborate with cross-functional teams including Product, DevOps, Mobile, and QA.