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We are looking for an SVP of Product to own and lead our product function. This is a hands-on leadership role for a strong product operator who can drive strategy and execution in equal measure - managing a growing team of Product Managers and different domains SMEs, working closely with customers and internal stakeholders, and delivering complex AI-driven products that create measurable value for the world's leading airlines. This role reports directly to the CEO.

What You'll Do

Lead and execute product strategy and roadmap, ensuring alignment with company goals, customer needs, and commercial priorities.
Manage, mentor, and grow a team of Product Managers, setting clear expectations, building strong product practices, and driving accountability.
Own the full product lifecycle - from discovery and definition through delivery and iteration - working hands-on with Engineering, Data, and Design.
Be the product voice in customer relationships: lead roadmap reviews, gather requirements, and present product direction to enterprise stakeholders.
Partner with Sales and Customer Success to support onboarding, renewals, and expansion by ensuring the product delivers on its promise.
Translate complex AI and algorithmic capabilities into clear, user-friendly experiences and compelling value propositions.
Collaborate with company leadership on business priorities, surfacing product insights that inform strategy and investment decisions.
Drive execution discipline - managing timelines, trade-offs, and delivery in a fast-moving, resource-conscious environment.

we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets.

Responsabilities:

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.

Your mission will be to build a robust yet flexible system that can withstand such growth and expand our integrations with various healthcare providers using different data formats.

You will

Your responsibilities will span from design to implementation of a complex, time critical, micro services based system that processes high volumes of data. You will collaborate with various teams, including the algo, data and product teams, in order to deliver the best code using high end technologies.

Tech stack:

We are running on AWS with Python as the main programming language. We are using various technologies (such as S3, RabbitMQ, Temporal, Opensearch, DynamoDB, Postgres, Docker, Redis, Prometheus and others) to run our services. We are always open to new technologies and tools that will help us to do our job even better.

What success looks like:

You are able to work solo and also as part of a team, according to what is needed at that point

You own the teams domain to ensure code quality, performance and scalability of our products

You are eager to learn new things and also proactively suggest new ideas and initiatives

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.

At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities:

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are looking for Customer Support Engineerin our site in Netanya with a strong data background, who can provide ongoing support to our client while monitoring our production pipeline ensuring we deliver within the agreed SLA . You will be an essential part of the frontline support team responsible for providing prompt and efficient support and service to end-users experiencing technical issues with software. The primary responsibility is to ensure the timely resolution of data-related problems and to facilitate effective communication between end-users and higher-level support teams. The ideal candidate has relevant experience in data engineering. This role involves coordinating with various teams, managing schedules, and ensuring that production processes run smoothly and efficiently.

Work schedule:

The employee will be required to work 5 days a week, spread across the entire week, including Saturday and Sunday, with off-days during weekdays if shifts fall on weekends. The job is shift-based, with shifts occurring both during the day/evening/night and on weekends.

What You'll Do:

You will be responsible for maintaining and monitoring data pipelines that power our data science workflows while developing and maintaining production schedules.
Identify potential production issues and work proactively to resolve them.
Communicate any production delays or issues to relevant stakeholders and customers.
Maintain accurate records of production activities, including schedules, bugs and project status.
Coordinate with various departments (e.g., Data, DE, PO) to ensure timely completion of tasks.
Serve as the frontline support and provide prompt and efficient support to end-users experiencing technical issues with the platform.
Troubleshoot problems and offer effective solutions to maintain optimal user experiences.
Collaborate with other teams, including R&D and product management, to resolve customer issues.

Help shape how AI data centers are powered. At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in more than 20 countries, and millions of installations worldwide. Solaredge is expanding its innovation into the fast-growing world of AI data-center power infrastructure. Building on our leadership in solar, storage, and power electronics, we are creating a next-generation Power Ecosystem — integrating Solid-State Transformers (SST), Battery Energy Storage Systems (BESS as UPS), and advanced power-conversion platforms designed for the AI era. Join our UPS Data Centers group and play a key role in developing SolarEdge's next generation of high-performance power conversion and backup power solutions for data centers. As a Senior Hardware Design Engineer, you will take ownership of hardware development throughout the entire product lifecycle—from concept and design through validation and mass production—working on complex, multidisciplinary systems in a fast-paced environment. What will you be doing?
* Design and develop advanced power electronics hardware for UPS systems.
* Lead hardware development from concept through mass production, including schematic design, board development, validation, and product release.
* Design analog and power electronic circuits for high-power applications.
* Perform hardware bring-up, debugging, validation, and optimization.
* Plan and execute electrical, thermal, EMI/EMC, and reliability tests to ensure product performance and compliance.
* Collaborate closely with Mechanical, Software, System Engineering, Integration, and Manufacturing teams throughout the development lifecycle.
* Support design reviews, root cause analysis, and continuous product improvements.
* Work with laboratory equipment to evaluate, troubleshoot, and validate hardware designs.
* Contribute to system architecture discussions and technical decision-making.

Country:
Israel

City:
Modiin

We're looking for a Data Scientist to help us grow our advanced analytics team's capabilities. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp



Design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models
Lead data discovery and translate complex multidimensional data into actionable insights related to the pricing algorithms and their outcomes
Conduct research and experimentation to elaborate novel approaches to uplift measuring and a/b testing
Collaborate with revenue managers, data analysts, data engineers in order to encode airline business logic into modeling and technical pipelines

We are growing and are looking for a Senior Information Security Manager JD to join our mission to increase access to life-saving treatments.

The Role:

Lead and maintain all certification and compliance efforts, including SOC 2, ISO 27001, ISO 42001, HIPAA, GDPR, and CIS benchmarks

Serve as the primary point of contact for all security questions and concerns, internal and external

Own global security awareness strategy and programs, including annual employee training, ongoing awareness campaigns, and phishing simulations

Respond to customer and prospect security questionnaires while maintaining agreed turnaround times

Oversee SOC (Security Operations Center) operations, including log source coverage, detection rule creation and tuning, and SLA/KPI management

Build and manage the Third-Party Risk Management, Business Continuity, and Disaster Recovery programs

Run the vulnerability steering committee across corporate and production environments

Manage vendor risk and the security risk register

Monitor and manage the company's external digital footprint using third-party attack surface management tools

Act as incident commander for security incidents - analyze, escalate, coordinate response, and drive remediation

Help design and execute the annual security roadmap

Manage the company Trust Center

Lead the internal security policy lifecycle - creation, updates, approvals, and distribution

Audit onboarding and offboarding processes from a security perspective

Were looking for a Data Analyst with expertise in Tableau to join our growing data analytics team. This role is perfect for someone who thrives on turning data into actionable insights and enjoys working at the intersection of business and technology.