Medison offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 34 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! Medison is seeking a Product Manager to be responsible for the full commercial management of product portfolios, including strategy development, budgeting, business planning, and performance monitoring to ensure target achievement. The Product Manager works closely with cross-functional teams across Medison and with international partners, leveraging an in-depth understanding of the therapeutic area and key opinion leaders (KOLs). The role combines field-based and office-based activities and requires cross-country and international travel as needed.

Responsibilities:

* Build and execute strategic business and marketing plans.
* Manage partnerships with suppliers and stakeholders, including meeting preparation, presentations, documentation, and follow-up.
* Implement marketing objectives, policies, and sales and marketing programs to maximize business performance.
* Develop and manage budget plans, with ongoing monitoring and control of expenses.
* Analyze sales reports and market data to identify trends, evaluate performance, and adjust strategies accordingly.
* Develop marketing materials, both digital and print, and obtain all required approvals in accordance with internal and supplier requirements.
* Collaborate cross-functionally with the Business Unit Head, Medical Manager, Aesthetics Team Leader, Sales teams, and external service providers to support product-related activities and administrative requirements.
* Independently manage and interpret scientific materials, share knowledge, and provide support to internal teams.
* Participate in business meetings with international partners, training sessions, conferences, and other professional events.
* Attend and represent the company at local and international conferences and industry events.
* Consistently uphold the highest standards of professionalism, integrity, ethics, and compliance, adhering to the Global Code of Business Conduct and related policies and procedures.
* Provide comprehensive support to sales teams, creating platforms and opportunities for sales initiatives, business growth, and market expansion.

City:
Petah Tikva

We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
Design and implement scalable, flexible data architectures to support evolving business needs.
Build and manage data platforms, including data lakes and data warehouses.
Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.

We seek an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities:
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.

We seek an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities:
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.

our company seeks an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.

We're looking for a Data Engineer to own our data architecture end-to-end. You'll design, build, and scale the pipelines that power every pricing decision we make - from raw ingestion through our data lake to the analytics and BI layers our customers rely on. This is a hands-on leadership role: you'll set technical direction, drive architectural decisions, and mentor a team of data engineers, while still writing code and owning delivery.
What You'll Do:
Architect and build large-scale batch and streaming ETL/ELT pipelines
Own data lake design, table modeling, and partitioning strategy across billion-row datasets
Drive query performance and cloud cost optimization across AWS and GCP
Establish data quality, observability, and reliability standards - freshness, correctness, and SLAs
Partner with backend, product, and data science teams to expose data through internal and customer-facing APIs
Our Stack
Spark / EMR Airflow BigQuery PostgreSQL & Aurora Kafka RabbitMQ Elasticsearch Go Python AWS GCP Kubernetes Terraform.

As a Product Manager for our internal platforms, you will play a crucial role in empowering our global teams and scaling our operations. You will be responsible for leading the vision, strategy, and execution of a brand-new, in-house CRM system built from the ground up to support our unique cross-border business workflows.
Key Responsibilities
Lead the CRM Strategy: Drive the end-to-end product lifecycle for the new in-house CRM, from initial planning and architecture to delivery, rollout, and user adoption.
Enterprise-Wide Alignment: Engage deeply with a wide array of internal teams across the entire company, as well as senior management, to map complex workflows and translate them into scalable, innovative technical solutions.
Roadmap Ownership: Define and own the delivery of the internal CRM product roadmap, ensuring tight alignment with our companys operational goals and growth targets.
Cross-Functional Collaboration: Partner closely with engineering teams, operations specialists, and business units to drive product management from planning to delivery.
Detailed Specifications: Translate high-level business requirements and varying internal user needs into detailed product specifications and actionable development tasks.
Communication: Communicate effectively at both the business and technical levels (written and verbal), acting as the bridge between development teams and the rest of the organization.

we are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.
As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.
Job Responsibilities:
Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.

We are looking for an experienced and passionate Product Manager to take end-to-end ownership of core Billing Platform, supporting our B2C products and processing millions of consumer transactions at scale.
The ideal candidate combines strong product thinking with technical understanding and can translate complex business and customer needs into a clear product roadmap while working closely with Engineering and other cross-functional teams.
This is an opportunity to own and shape a core platform that supports products and services at scale.
Responsibilities:
Own and lead the Billing Platform throughout its lifecycle, from ideation and product definition through development, launch, and continuous improvement.
Develop and execute the product roadmap, aligned with company goals, business needs, and long-term platform scalability.
Define new capabilities and translate business needs, customer needs, and market insights into clear product requirements.
Lead complex technical processes and integrations, working closely with Engineering and relevant internal and external stakeholders.
Work closely with Engineering, Design, and other cross-functional teams to deliver high-quality solutions on time and at scale.
Work cross-functionally across multiple teams and domains, aligning stakeholders and driving complex initiatives from definition through execution.