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The Challenge Controp is a global leader in high-end EO/IR surveillance and defense solutions. As the AI team leader, you will bridge the gap between cutting-edge research and mission-critical hardware. You will lead an elite team of researchers and engineers to define the next generation of algorithmic capabilities for our stabilized payloads and autonomous systems.

This position will be based in our office in Israel (Airport City), reporting to QA Engineer.

The role:

Participate in testing initiatives across multiple projects within the Ultrasound Mentor platform
Work closely with development teams to implement testing strategies and maintain quality standards
Execute complex testing scenarios for multidisciplinary products (hardware, software, algorithms)
Create and execute detailed test plans covering software requirements and system integration
Analyze testing results, document issues, and work with development teams toward resolution

the role will establish scalable processes, standard pod structures, and PI planning in line with R&D leaderships vision to improve throughput and efficiency. The position will act as a thought leader on agile best practices, supporting R&D leaders through training, documentation, and artefacts, while also ensuring strong visibility into R&D performance through reporting and key metrics such as cycle time, velocity, and throughput. In addition, the role will identify inefficiencies and operational risks, lead mitigation and improvement initiatives, support governance forums, and communicate progress to senior stakeholders, including R&D leadership and senior leadership stakeholders.

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Key Responsibilities:​
Drive the implementation and scaling of SAFe methodologies across R&D, embedding Agile ways of working to improve delivery efficiency and consistency​
Provide thought leadership on Agile best practices, influencing R&D leaders and supporting adoption through training and documentation​
Track and report on key development KPIs (e.g., cycle time, lead time, on-time delivery), identifying inefficiencies and driving continuous improvement​
Design and support governance forums, ensuring clear tracking of actions, progress reporting, and effective communication with senior stakeholders​
Risks and design governance forums, ensuring effective mitigation, progress tracking, and clear communication with senior stakeholders​

We are looking for a technically-grounded, visionary Product Owner to lead GenAI-powered initiatives within our B2B platform. You will stand at the intersection of cutting-edge LLM technology and enterprise-scale business impact, transforming how global financial institutions handle everything from underwriting automation to complex claims intelligence.

Key Responsibilities:
AI Roadmap & Strategy: Define and own the GenAI roadmap, identifying high-value use cases like fraud detection copilots, document intelligence, and agentic underwriting.
Backlog Excellence: Own and optimize the product backlog, translating complex AI concepts into clear user stories and acceptance criteria for engineering and data science teams.
Technical Specs & Orchestration: Read and write technical specs, API contracts, and data models. Youll work closely with Development & architecture teams
Experimental Mindset: Lead lean experiments and A/B tests to validate LLM performance, managing the balance between probabilistic AI outputs and deterministic business rules.
Stakeholder Leadership: Communicate the vision and progress transparently to global stakeholders and enterprise clients, acting as the bridge between "the possible" and "the practical".

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing. You'll work hands-on across the stack of our AI features and have real impact on the products evolution.



Key responsibilities

Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

Were looking for a seasoned R&D Team Leader to join our top-notch technology R&D team, reporting directly to the VP R&D. In this role, you will drive technological innovation, oversee the development of cutting-edge features, and guide the team in delivering scalable, high-quality products. You will combine hands-on technical leadership with strategic oversight, ensuring that our platform continues to evolve and deliver impactful solutions for our clients. As part of an AI-first company, our web team is deeply involved in creating and integrating AI-driven features to enhance our digital offerings.



Key Responsibilities:

Lead the R&D team in developing new features and enhancing our platform.
Oversee the end-to-end development lifecycle, from ideation to deployment.
Ensure high-quality code, scalable architecture, and smooth product delivery by implementing best practices in software development.
Mentor and support team members in their professional growth.
Troubleshoot and resolve complex technical challenges in collaboration with the team.
Collaborate with cross-functional teams including Product, Data, and AI to align development efforts with company goals.
Drive innovation and stay updated on new technologies to keep us at the forefront of the industry.

We are looking for a talented Full Stack Engineer to join our growing web application engineering team. This is a unique opportunity to join a high-performing, tech-driven environment where you will influence architecture, shape new features, and contribute to building a robust, scalable platform.

In this role, you will work across the stack - designing and developing end-to-end features, improving system performance, and helping build an engineering culture that emphasizes quality, reliability, and clean code. You will collaborate closely with our Product, Data, and AI teams to build innovative, AI-driven capabilities that power the next generation of creative intelligence.

As part of a fast-moving startup and an industry leader, your contributions will directly impact our product evolution and customer experience.



Key responsibilities:

Design, develop, and own fullstack features end-to-end, from planning to deployment and monitoring.
Contribute to architectural decisions and help build scalable, maintainable systems.
Write clean, testable, and well-documented code while upholding high standards across the team.
Diagnose, debug, and resolve complex issues while continuously improving platform reliability.
Collaborate closely with cross-functional teams (Product, Data, AI) to deliver high-impact solutions.
Participate in code reviews, knowledge sharing, and ongoing improvements to development workflows.
Stay up to date with modern technologies and bring fresh ideas to improve efficiency, tools, and developer experience.

Were looking for a Software Engineer - Data Operations Platform to join our Data Operations team and help build the internal systems and platforms that power our data workflows at scale.

This is a unique opportunity for an early-career engineer who enjoys solving practical problems, building impactful tools, and working closely with data, AI, and operations teams. In this role, youll design and develop scalable internal platforms, automation systems, and AI-driven workflows that support large-scale data operations, including tooling for computer vision workflows, automated QA systems, taxonomy management, and database navigation tools used daily across the company.

As part of a fast-moving startup and an industry leader in AI-driven creative analytics, your work will have a direct impact on engineering efficiency, workflow automation, system scalability, and data quality.



Key Responsibilities

Design, develop, and maintain internal tools and systems that support Data Operations workflows.
Build scalable automation systems for QA processes, taxonomy applications, and large-scale data handling.
Collaborate closely with Data, AI, Product, and Operations teams to solve practical business and operational challenges.
Write clean, maintainable, and reliable code with a strong focus on usability, scalability, and efficiency.
Improve internal workflows by identifying bottlenecks and building scalable solutions.
Work with databases and data pipelines to support operational and analytical needs.
Troubleshoot issues, optimize existing tools, and continuously improve system reliability and performance.
Contribute ideas, experiment with new technologies, and help improve developer workflows and internal processes.

we are growing fast, and as we grow we scale both in the number of patients we treat and in the number of products we have in our portfolio. Your mission is to design and build the next-generation data infrastructure and pipelines, in addition contributing to an ongoing project that serves both our customers and internal data teams with scalable and reliable solutions.

You will:
Make a critical contribution to shaping and developing the core of our Data Platform used for AI research and business intelligence, from design to implementation.

Design and build complex data pipelines to move and manipulate data from a wide variety of data sources.

Create a system that will be used to support our data product offering.

Closely collaborate with various teams, including Software Engineering, AI Engineering and Product Management .
Tech stack:

We are running on AWS with Python as the main programming language for the backend. We are using various technologies such as S3, DBT, ETL, ELT, Spark, DynamoDB, Postgres, RabbitMQ, Docker, Redis, Prometheus, Terraform and others. We are always open to new technologies and tools that will help us to do our job even better.

What success looks like:
Self-contributor who excels at working independently and can also collaborate effectively as a valuable team member.

Mentor and advise other team members in code review, performance, scalability and more.

Eager to learn new things and also proactively suggest new ideas and initiatives.

Excellent communication and collaboration skills.

Team player, highly motivated, can-do approach.