לוח משרות דרושים מדעים מדוייקים בנתניה, לחיפוש זה נמצאו 16 משרות

Were looking for an experienced Product Analytics Manager to play a key role as part of the Product organization. The Product Analytics Manager will lead the domain and work closely with Product, R&D, Sales and Marketing, Customer Success, and BI to drive data-informed product and business decisions.
Key Responsibilities
Define product success metrics, usage benchmarks, and adoption KPIs across products and customer segments, ensuring alignment with clinical and business impact goals.
Own the end-to-end product analytics framework - including event design, tracking strategy, data validation, and ongoing data quality monitoring.
Perform hands-on deep-dive analyses, working directly with raw data and collaborating with R&D and BI to ensure robust data models, pipelines, and instrumentation.
Partner with Customer Success and BI to deliver customer-centric insights and support the evolution of the product data infrastructure.
Build dashboards and analytical models to support product and business decision-making, evaluate feature performance, and establish a continuous feedback loop between user behavior and product development - using data-driven insights to challenge assumptions and prioritize high-impact roadmap initiatives.
Quantify the clinical and economic impact of solutions by analyzing real-world encounter data to validate key performance markers such as reduction in cost of care, improved patient outcomes, and product utilization.
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders.
Provide professional leadership in analytics, including team management (if applicable) and contributing to the growth of the analytics function.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality

As Senior System Engineer you will have significant impact on our multi-disciplinary R&D projects, grow with us as we venture into new technologies and will lead work groups in our projects as part of the connected devices line of products during the product lifecycle of both discovery and delivery.

The responsibilities will include defining System, HW, Embedded, ATE, SW & Integration requirements as well as contributing to the design stage of each discipline, defining the protocol, technical problem solving, proof of concept and field testing and assisting in tests design and investigations.



The position requires multidisciplinary understanding, ability to quickly grasp new technological aspects as well as constraints , the capability to work in a multi-site matrix organization and working closely in a Product and Platform team with other system engineers, embedded software developers, HW engineers, Integration Engineers as well as backend and front-end teams.