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a fast-growing medical technology company transforming the fields of hematology and cell morphology analysis. As a team, we work to enable faster, earlier detection and diagnosis of blood-related diseases, so patients can start treatment sooner and have better outcomes. We are collaborative and global and every individual is part of a life-saving mission.
We are looking for a Senior QA Engineer to join the QA team.
What youll be doing
Acquiring deep understanding of product components
Conducting design review and executing manual and automatic tests for diverse hardware, software, AI, algorithmic, and web product modules
Analyzing, identifying, debugging, and tracking product issues
Working in close collaboration with our R&D teams

We are looking for highly experienced Android developers with a passion to lead a team while helping build and scale our Android apps portfolio. In this role, you will manage a small team of Android developers and help our R&D team create, code, test, and maintain various Android apps. You will work closely with other team leads, developers, and QA testers, using the Agile methodology and a quality-first approach.

We are seeking an experienced DevOps Team Lead to spearhead our fast-paced infrastructure and cloud operations. This role is integral to our technology department, where you'll manage complex cloud environments and lead a team of skilled DevOps engineers. Working closely with Development Teams and reporting to the VP R&D, you'll drive technical excellence across our AWS and GCP infrastructure while ensuring high availability of our production services.

We are seeking a highly experienced VP Data to lead the companys data development efforts in building its core technology.
As the VP Data, you will be at the forefront of our innovative efforts, reporting directly to the CTO. The role requires strong technical understanding and strategic thinking. This will include hiring and managing a team of data analysts, data engineers, data scientists .
If you are a highly motivated, organized, independent, self-starter who enjoys working in a dynamic, fast-paced environment, where you want to be!
RESPONSIBILITIES:
Establish and maintain data governance frameworks and best practices to ensure data quality, accuracy, and reliability across all systems
Guide the implementation of data science and ML projects from ideation to production
Direct the evolution of BI visualization platforms (Tableau, Looker Studio)
Develop and articulate a clear data vision and strategy that aligns with overall business objectives.
Foster a culture of collaboration, and continuous improvement within the data team.
Provide guidance and support to team members to help them achieve their professional goals and deliver exceptional results.
Collaborate closely with engineering, growth, finance, and other cross-functional teams to ensure successful data deliveries and vision alignment.
Communicate data vision, strategy, and progress to key stakeholders, including the executive team, board members, and external partners.

Were looking for a Senior Product Designer who is passionate about saving lives, doing something meaningful, and is driven in their craft. You should balance both creativity and the capabilities required to take on the challenge of driving health innovation while upholding a simple, holistic user journey.
Our Senior Product Designer will play a key role within our team of experienced, fast-moving, and highly talented designers, content writers, and UX researcher. With our talented and powerful team, we deliver strong UX that has a huge impact on people's health.
Responsibilities:
Design user experiences across digital and physical touchpoints that are simple, elegant, and rooted in user-centered design
Lead the process from concept to launch, crafting intuitive journeys across online and offline interactions
Collaborate with product and marketing designers to ensure a cohesive and consistent experience
Conduct user research and support discovery to uncover real needs and opportunities
Validate design decisions with data, experimentation, and user testing
Work with Product Managers, Engineers, and Data Scientists to define and deliver impactful, user-focused solutions
Drive innovation by designing for advanced AI experiences and shaping solutions that integrate software with connected hardware to create seamless user journeys.

We are seeking a talented Senior Full Stack Engineer to join our team. You will be at the forefront of building cybersecurity solutions that safeguard corporations and banks from payment fraud.
Key Responsibilities:
Planning, designing and implementing core capabilities of our platform and applications.
Creating new ideas with our designers to continually improve the user experience and productivity.
Stay up-to-date on emerging technologies and industry best practices.

We are seeking a highly skilled Senior/Principal DevOps Engineer to lead the architecture, scaling, and automation of our cloud infrastructure.
The ideal candidate will have extensive experience in AWS, Terraform, CI/CD automation, and analytics, working closely with development, security, and operations teams to ensure high availability, scalability, and reliability of our infrastructure.
Responsibilities
Cloud Infrastructure : Architect, manage, and scale all aspects of cloud infrastructure primarily in AWS, leveraging Terraform for automation and efficiency.
CI/CD & DevOps Practices: Design and implement CI/CD pipelines to streamline deployment and improve efficiency.
Monitoring & Observability: Establish robust monitoring, logging, and auditing measures to ensure best practices for system observability, easy debugging and reliability.
Containers & Kubernetes: Deploy and manage containerized applications using ArgoCD, Kubernetes, Docker, and Helm.
Collaboration & Leadership: Work cross-functionally to optimize workflows, drive automation, and improve infrastructure scalability.
Automation - Automate deployment processes to enhance efficiency and minimize downtime.
Databases: Manage databases for high availability and performance.

We are looking for a Data Science / Machine Learning Engineer Tech Lead to join the data science group.
Youll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.
our Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.
The individual will collaborate with cross-functional teams to ensure actual impact on our users and business outcomes.
Responsibilities:
Software Engineering: Design, develop and implement data pipelines infrastructure, work closely with group members and peers
Machine Learning: Design, Research, analyze, develop, and implement predictive models, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Data Science Group focal point for aspects of code review, code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
Stay updated with the latest research and advancements in MLOps, machine learning and AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

Required iOS Group Lead
As an iOS group lead you will oversee the iOS development team, ensuring high-quality app delivery while fostering team growth and collaboration. The role includes managing technical decisions, mentoring team leads, coordinating with cross-functional teams, and aligning iOS projects with company goals. You will balance leadership tasks like project planning, performance reviews, and advocating for the iOS platform within the organization.
Responsibilities:
Technical Decisions: Lead decisions on architecture, frameworks, and tools for iOS development.
Problem-Solving: Provide solutions to complex technical challenges and guide debugging efforts.
Innovation: Stay updated on iOS trends, Apples latest guidelines, and SDK changes to ensure the team remains cutting-edge.
Mentorship: Provide guidance, mentorship, and support to team leads and ICs
Team Growth: Hire and retain a strong group by fostering a culture of learning and collaboration, encouraging skill development and knowledge sharing.
Stakeholder Communication: Act as the primary point of contact between the iOS team and other departments (e.g., product, design, QA, and backend teams).
Scalability and Performance: Plan and implement strategies to scale the application for future needs.
Cost Efficiency: Optimize development resources and infrastructure to balance cost and performance.

we are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating ML-driven prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs. You will be working closely with other data scientists, data engineers, product managers and domain experts to improve our automotive purpose-built data management platform, focusing on vehicle quality, cybersecurity and API security use cases.
As a Senior Data Scientist at our company, youll play a pivotal role in driving innovation and shaping the future of ML-based solutions in automotive quality and cyber security. Youll work on challenging datasets, develop advanced models, and see your work integrated into impactful, real-world applications.
Your work will directly enhance the safety and quality of advanced automotive systems and cybersecurity solutions. At our company, we prioritize talent development, offering you opportunities to learn, innovate, and grow in a collaborative environment.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Conduct in-depth research on large and diverse automotive live streaming tabular datasets, preprocess the data, as well as extract and present key insights
Search and craft indicative features that will enhance the value of ML models
Explore, design and deploy cutting-edge ML models or algorithms solutions for prediction purposes and anomaly detection
Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
Partner with our data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team.

Required Senior Product Manager
Were rapidly growing and looking for another important piece of the puzzle.
Is it you?
As a Surveillance Product Manager, youll lead the product strategy and execution for our surveillance and detection portfolio of products. Collaborating with customers and internal teams you will manage the end-to-end product lifecycle to deliver best-in-class products that support our business growth goals.
This position is located in Israel, and youll be reporting directly to the Director of Product.
What Youll Do:
Develop a clear product strategy and roadmap for our surveillance, detection solution portfolio
Work with engineering, to drive the end-to-end product development process, from planning through release launch
Collaborate closely with Data Science to build and iterate on AI based products and capabilities
Partner with customers and GTM teams and act as a subject matter expert for pre-sales, marketing, and customer success
Stay up to date on regulatory trends, industry standards, and market developments in communication compliance
Define and track key product metrics to measure product success and areas for improvement.

We are looking for a highly motivated candidate to join our Data Science team.
If you are passionate about NLP and have 4+ years in the field, this is for you!
Lets get down to business:
What Youll Do:
Design, experiment, research, develop and productize advanced NLP solutions in various domains: classification, summarization, translation, enrichment, explainability, information extraction, information retrieval, and so on.
Finding the latest technology to improve our AI capabilities in a variety of languages.
Using advanced deep learning and large language models, to enhance our ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Develop processes and tools to monitor and analyze model performance and data accuracy
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Help to lead the technical roadmap.

We are looking for a Senior Back-end Engineer who will develop solutions that transform unstructured electronic communication data (from phone calls, chats, emails, etc.) into actionable intelligence for financial institutions.
Lets get down to business:
What Youll Do:
Design and implement feature requests
Optimize system scalability and resilience
Work closely with the Product Team and Architects
Support and maintain the production environments.

Required FinOps Cloud Manager
Were rapidly growing and looking for another important piece of the puzzle.
Is it you?
This role is responsible for leading the FinOps practice across our Financial Compliance, ensuring optimal use of cloud resources, managing cost predictability, and maintaining financial discipline across all business units. The specialist will own and evolve the internal product pricing calculator and provide continuous insight into the expected and actual cost structure of our AWS-hosted, Kubernetes-based multi-tenant architecture.
This is a hybrid technical-financial role requiring advanced understanding of cloud architecture and pricing models, alongside financial acumen for forecasting, budgeting, modeling, and performance reporting.
Lets get down to business:
What youll do:
1. Product Pricing Ownership
Maintain and evolve the internal AWS product pricing calculator.
Translate complex Kubernetes deployment models and service configurations (e.g., OpenSearch, EKS, data transfer patterns) into actionable cost models.
Incorporate cost variability into pricing decisions, including compute, storage, cross-region transfers, and scaling dynamics.
Work with the CTO to align technical design with pricing logic and cost structure.
2. Cloud Cost Management and Optimization
Monitor real-time cloud consumption data across our environments (POC, production, demo, development).
Identify inefficiencies and over-provisioning, recommend rightsizing and reserved instance/savings plans strategies.
Set and enforce budgets per business unit, project, or environment.
Design and implement alerts, dashboards, and reporting in tools such as Anodot, AWS Cost Explorer, CloudWatch, or custom BI tools.
3. FinOps Culture Champion
Act as the central cost optimization authority across CloudOps, DevOps, Delivery, and R&D teams.
Run bi-weekly/quarterly cost review cadences and publish cost health dashboards.
Educate teams on cost-efficient architecture, usage of spot instances, caching, storage lifecycle rules, etc.
Promote accountability by assigning cost KPIs and budget adherence metrics.
4. Management Reporting and KPI Tracking
Generate executive-level insights and forecasts on cloud cost trends, anomalies, and risks.
Define and report against key FinOps KPIs such as cost/unit, cost of service, cost per deployment, budget variance, forecast accuracy.
Provide decision-making support to management based on real-time and retroactive data analysis.

We are looking for a Director of Product Management.
The ideal candidate is passionate about propelling our development and deployment processes forward, using automation, adopting best practices, and the latest cloud and container orchestration technologies. This role is tailor-made for those who can hands-on technical expertise and a team-oriented approach to elevate our DevOps operations and weave DevOps methodologies throughout our software development lifecycle. As the Director of Product Management, you will play a critical leadership role, overseeing multiple products and leading a team of high-performing product managers. You will be responsible for defining and executing the product strategy, ensuring alignment with business goals, market needs, and customer requirements. Additionally, you will oversee work with R&D, ensuring best practices in product development processes are implemented and set and uphold a high standard of product professionalism. This role requires a strong strategic mindset, leadership and execution abilities, and deep expertise in enterprise B2B SaaS. Domain knowledge in Compliance, risk management, or data-driven products is an advantage.
Lets get down to business:
What Youll Do:
Lead & Mentor the Product Management Team Manage, coach, and grow a team of product managers, ensuring high performance and standards, and a strong product culture.
Define & Execute Product Roadmap Own the product vision and roadmap for your area, ensuring alignment with business objectives, market trends, and customer needs.
Cross-Functional Leadership Collaborate closely with R&D, Data Science, GTM and CX teams to drive product execution and market adoption.
Customer-Centric Approach Engage with customers to deeply understand their needs and pain points and present our value
Drive Innovation & Differentiation Identify and develop unique selling propositions (USPs) that enhance our market position
Product Delivery & Execution Ensure smooth execution of key initiatives, defining clear success metrics, prioritizing deliverables, and removing blockers to meet aggressive timelines.
Stakeholder Management Work closely with executive leadership to communicate product vision, roadmap progress, and impact, ensuring transparency and alignment across the organization.
Go-To-Market (GTM) Leadership Partner with Marketing, Sales, and Customer Success/operation to define product messaging, positioning, pricing, and launch strategies.