we are looking for a Senior QA Lead to act as a Quality Owner, driving scalable, consistent, and measurable quality across multiple development teams.
quality is owned by development teams. The QA Lead ensures this ownership is effective, aligned, and continuously improving - by defining standards, enabling teams, and providing system-level visibility and risk assessment.
The QA Lead engages at key points in the development lifecycle, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones.
This role focuses on strategy, enablement, and system thinking, rather than hands-on execution of tests.
In this role, you will be responsible for:
Leading quality strategy across teams, including defining testing approaches across different testing layers
Defining and driving quality standards, including Definition of Done and CI expectations
Prioritizing involvement based on impact and risk, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones
Establishing and monitoring quality metrics, and providing clear visibility into quality health
Leading cross-team quality efforts, especially around integrations, shared flows, and areas with unclear ownership
Building and maintaining a system-level understanding that enables early identification of gaps beyond individual team boundaries
Guiding development teams in test design and coverage decisions, promoting strong quality ownership within teams
Promoting effective and responsible use of AI in testing and quality processes
Driving continuous improvement in quality practices, while acting as a knowledge center for quality and system behavior within your domain

Are you an analytical person who is deeply interested in AI and LLM technology?
Is your superpower accurately categorizing information and identifying patterns?
Do you love to solve interesting challenges and make a direct impact through your work?
Join our Tel Aviv team as an AI Data Analyst and help shape the future of AI. We're looking for analytical minds to contribute to our cutting-edge Large Language Model (LLM) project. In this unique role, you'll be performing LLM data quality tasks, ensuring consistency and quality in our conversations and helping design and support our flagship products.
This is more than a traditional data-labelling role. You will combine hands-on evaluation work with analytical thinking to help shape how our AI experiences evolve.
Sound like your perfect fit? We want to hear from you!
As an AI Data Quality Analyst, you will evaluate LLM-generated conversations and other text-based data, identify trends and regressions, and partner with AI Engineers and Product Managers to improve model performance. In this role, you will:
Review and evaluate LLM-generated conversations and other text-based outputs against task-specific quality criteria and success metrics.
Perform high-quality annotation and data labeling to create reliable datasets for model training, benchmarking, and evaluation.
Monitor real production data to identify quality trends, regressions, and areas for improvement.
Identify qualitative patterns, recurring failure modes, regressions, and opportunities to improve model behavior and user experience.
Analyze evaluation results and clearly communicate insights, risks, and recommendations to cross-functional stakeholders.
Work closely with our AI Engineers and Product Managers to understand the data needs and ensure data quality processes align with goals, ensuring Paradox and our company products remain top in class.

As a QA Manager , you will play a unique role that combines leadership with deep technical involvement. While leading and growing the QA organization, you will also be expected to develop a deep understanding of our products, architecture, and technical implementation details. This is a hands-on role where you will work closely with engineers, participate in technical discussions, investigate complex issues, and help shape testing strategies for highly technical features. Success in this role requires both strong people management skills and the ability to dive deep into the product and technology.

we practice a modern approach to quality where QA is not a gate to release but an added value to dev, and our goal to shift left our testing and provide fast feedback loop to dev.

As part of this role, you will:

Lead, mentor, and grow a team of QA engineers.
Develop deep expertise in products, architecture, and technical design.
Work closely with developers to understand complex features, review designs, and identify quality risks early in the development cycle.
Oversee test planning, execution, and release readiness across multiple teams.
Partner with Engineering and Product teams to ensure quality is embedded throughout the development lifecycle.
Drive improvements in testing methodologies, automation coverage, and quality metrics.
Build visibility into product quality through reporting, dashboards, and data-driven decision making.
Support hiring, onboarding, and career development within the QA organization.
Develop a deep understanding of enterprise customer environments and use cases to ensure effective testing strategies.

Were looking for a Senior Data Engineer in the Data Collection Ingest team to contribute to the design and coding of data ingestion services & pipelines. This role involves working as part of a team that handles millions of requests per minute across multiple servers, and is responsible for a wide-range of data pipelines, processing billions of events each day.

So, what will you be doing all day?

Your role as Data Engineer of the Ingest Data Collection team means your daily responsibilities may include:

Design, code and manage end-to-end data ingestion pipelines, both online and offline.
Take charge of developing & maintaining modern data infrastructure, while implementing best practices for building data pipelines.
Be responsible for high-scale ingestion services, solving challenges of availability, reliability, and scalability.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead design & decision-making processes of the team.
Solve diverse complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. The company offers an award-winning disruptive solution: a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art AI, we help protect human lives and keep critical energy. We're seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s energy landscape. This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What You’ll Do:

* Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
* Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
* Ensure data quality and consistency for accurate analysis and reporting.
* Conduct statistical analysis and use data visualization tools to present findings.
* Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
* Provide data-driven insights and recommendations to support decision-making processes.
* Interpret and communicate results to customers and management in a clear and concise manner.
* Present key findings of your analysis to customers around the globe.

What You Bring:

* B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
* Experience with AI-native development environments and automation with coding agents.
* At least 5 years of experience in data analysis, business intelligence, or a related field.
* Proficiency in data analysis tools such as SQL, Python (Pandas, Jupyter, Plotly).
* Experience with product management skills, driving data science and data engineering teams, experience with open ended data tasks and explorations.
* Knowledge of statistical analysis techniques and methodologies.
* Familiarity with database management systems and data warehousing.
* Strong data visualization and presentation skills in English (foreign customers).
* Experience with data visualization tools like Tableau, Power BI, Grafana, Python Plotly or similar.
* Excellent communication and teamwork skills.
* A curious mindset and a passion for solving complex problems.

We are seeking a talented QA engineer to design testing procedures for our software applications. In this role, you will be responsible for analyzing the functionality of applications and designing tests to validate their performance. You will also be required to identify bugs and collaborate with the software design team.
Responsibilities
Plan, execute, and oversee product inspection and testing for quality and conformance to specifications and deliverables
Collaborate with cross-functional teams to understand product requirements and specifications.
Design, develop, and execute test cases, scenarios, and scripts for both manual and automated testing.
Conduct thorough regression testing to identify software defects and verify bug fixes.
Work closely with developers to reproduce, isolate, and debug issues.
Contribute to the design and implementation of automated testing frameworks and tools.
Document test procedures, results, and defects clearly and concisely.
Participate in regular team meetings and provide feedback on product quality and testing strategies.
Provide training and support to quality assurance team members that covers systems, policies, procedures, and core processes.

We are seeking a talented QA engineer to design testing procedures for our software applications. In this role, you will be responsible for analyzing the functionality of applications and designing tests to validate their performance. You will also be required to identify bugs and collaborate with the software design team.
Responsibilities
Plan, execute, and oversee product inspection and testing for quality, conformance to specifications, and acceptance criteria.
Collaborate with cross-functional teams to deeply understand product requirements and translate them into test coverage.
Design, develop, and execute test cases, scenarios, and scripts for both manual and automated testing workflows.
Conduct thorough regression testing to identify defects, verify bug fixes, and protect against regressions.
Work closely with developers to reproduce, isolate, and debug issues - bridging the gap between QA and engineering.
Contribute to the design and implementation of automated testing frameworks and internal tooling.
Document test procedures, results, and defects clearly - keeping the team informed and the record clean.
Participate in regular team meetings and provide actionable feedback on product quality and testing strategies.
Provide training, guidance, and mentorship to QA team members on systems, policies, and core processes.

As a QA Engineer, you will play a key role in ensuring the quality, reliability, and flawless execution of core systems. Youll work on high-scale, cloud-native services that power critical payment and business flows, taking ownership of the testing lifecycle - from test planning and execution to production monitoring and continuous improvement. Youll collaborate closely with engineers, product managers, and other stakeholders to maintain our high engineering standards and deliver a seamless experience for our publishers and their users

We are looking for someone analytical, detail oriented, and comfortable working in an agile environment.

If you are passionate about identifying potential issues early, and making a lasting impact on quality processes in a dynamic and rapid-growth environment, this is the place for you!

Responsibilities:

Analyze product requirements, technical designs, and user flows to identify gaps, risks, and missing scenarios early in the development cycle
Create test plans and risk based testing strategies for complex features, around payment flows and integrations
Investigate issues using logs, and monitoring systems
Perform robust API, UI, and integration testing across multiple regions, currencies, and devices.
Lead efforts to identify automation gaps and continuously raise the bar on test effectiveness and coverage.
Leverage AI tools to accelerate workflows and improve quality strategy and execution.

Were looking for an Operations Analyst to join our growing team , a fast-paced travel-tech startup transforming the way the travel industry operates through cutting-edge technology.
In this role, you'll be at the heart of our operations, ensuring that processes run smoothly, efficiently, and are continuously optimized. Youll work closely on our flag product, taking ownership of daily operations, data integrity, and customer health. Your responsibilities will include business analysis, identifying growth opportunities, and driving operational excellence.
This role is perfect for someone analytical, curious, and passionate about making an impact across multiple domains of the business. The position is based in Tel Aviv and Rehovot.
What You'll Do:
Monitor and maintain daily operations of our flagship product, ensuring all data-related tasks are completed accurately and on time.
Conduct customer and data investigations to uncover insights, optimize performance, and identify areas for improvement.
Perform customer health checks and develop strategies to maximize client satisfaction and engagement.
Analyze business processes and identify opportunities for operational improvements and efficiencies.
Implement standards and workflows to streamline operations and support company scale-up.
Collaborate with cross-functional teams to improve product flows and resolve operational challenges creatively.
Provide reports on operational performance and suggest actionable improvements.
Contribute to data structure integration and maintain high-quality data standards.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly