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we are looking for a Back End Engineer.
What youll do:
Design, build, and iterate on AI-driven systems and prototypes that advance how brands are represented in LLMs and AI platforms.
Own projects end-to-end, from concept and architecture to deployment, evaluation, and iteration.
Collaborate cross-functionally with product, data, and research to validate ideas fast and deliver meaningful outcomes.
Explore new tools, APIs, and models to push the boundaries of whats possible with AI and data.

we are looking for a Engineering Manager - Analytics Platform.
As an Engineering Manager, you'll lead a group of team leads and software engineers building the infrastructure for the unique Veeva Analytics Platform.
What You'll Do:
Build and lead a team of professional software and DevOPs engineers responsible to deliver high-quality software solutions
Provide technological and managerial coaching to R&D team members based on extensive hands-on and managerial experience
Ensure efficient CI/CD and testing coverage
Be accountable for group commitments
Cooperate effectively with Data scientists on productization of prediction data pipelines

we are looking for a Product Manager.
In this role, you will be the bridge between internal technical teams and external data partners, ensuring seamless data onboarding into our data network.Youll be responsible for driving high-quality health data as part of our Product team, working closely with Engineering, QA, Data Operations, and the Data Partnership teams. You will have two key areas of focus:
Data onboarding - Designing and owning health data onboarding, focused on establishing a streamlined and effective process that brings data on with quality and speed. Youll understand the details of data feeds we onboard, own the analytics for how new data affects our data network and identify product improvements to better assimilate new data.
Data quality of our onboarded data - Define and oversee key quality metrics, monitoring and dashboards. You will act as a key technical point of contact, working directly with Data Partners to resolve discrepancies, align on data specifications, and drive continuous improvements to the quality and reliability of our data network.
You will be making an impact on business growth by owning the new data onboarding solution and product features. This will include being hands-on with the data, designing features, writing detailed mapping specifications, and building the roadmap of improvements to continue to enrich our data and drive product excellence.
This is a great opportunity for someone who is passionate about data and excited about working alongside Data Partners, Product Managers, Data Operations, Engineers, and QA to drive continuous improvement and data quality in our Crossix Data Platform.
What You'll Do:
Participate in health partner data onboarding. Work closely with the Data Partner to understand their data and discuss the technical aspects related to it
Own and design data onboarding features start to finish including user stories, functional and non-functional requirements, feature and mapping specifications, quality control checks, and data dictionaries
Manage the overall initial data onboarding plan: release and sprint planning, manage the prioritization, communicate with Data Partners and mitigate technical risks
Manage and improve ongoing processes of tracking data quality from all suppliers. Communicate to stakeholders detected issues and drive its resolution
Collaborate closely with Health Data Partnerships, Engineering, QA, Data Operations and Product Management to ensure products are built and delivered with quality
Build expertise on the inbound data, per data type (prescription, medical claims etc.)
Establish quality metrics, monitoring and dashboards, and design roadmap and plan to drive continuous improvement of our data product
Lead and execute ongoing data quality monitoring, managing stakeholder communications and collaborating with Data Partners to drive issue resolution
Own the investigation and resolution of data observations and data questions

We are seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others.

Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs.

Responsibilities:
Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
Ongoing investigation into new tactics for circumventing foundational models' safety measures.
Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
Promoting a culture of knowledge exchange and continual learning within the team.

we are looking for a Senior Software Engineer.
As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do:
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create systems, feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems and optimize performance, throughput and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data

we are looking for a Senior Software Engineer.
As a senior software engineer, you will take a leading part in a dedicated team designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies.
What You'll Do
Work with Product Managers and team members to understand requirements, create and discuss feature design documents, and implement solutions
Build platform capabilities for a set of new scalable data products to support enterprise customers
Write back-end code in Java, which involves Spark, multiple cloud services, and relational databases
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Investigate production issues and ensure the system is constantly improving
Work with the production team to track services, troubleshoot problems, and figure out how to reduce costs
Solve privacy challenges to ensure consumer and patient data is never exposed

we are seeking a talented Site Reliability Engineer to join our team in Israel.
Our SRE team is responsible for the operations and maintenance of cloud applications, deployment and monitoring frameworks and leading FinOPs activities.
This is an amazing opportunity to work with a world-class technical team and to hold responsibility for designing, creating, and provisioning infrastructure as well as deploying and maintaining applications with a focus on infrastructure as code and monitoring tools.
We aim to adopt the best solutions to fulfill our requirements and you will be encouraged to bring ideas and new thinking.
So, if you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do:
Our mission is to protect, provide for, and progress the software and systems behind all of our Crossix services
Ensure high uptime and reliability of Crossixs production environments on AWS
Take responsibility for managing the production environment, security, change management, deployment, architecture, and tools
Perform root cause analysis for complex failures and offer modern solutions and tools
Develop effective dashboards that provide key insights and system performance
Analyze performance and stability issues and create in-house automation tooling
Work closely with DevOps, R&D, product, and integration managers to enable automated CI/CD methods
Analyze cloud infrastructure and application costs and raise ideas for cost saving
Design, develop, and drive troubleshooting & mitigation tools as part of driving self-healing agenda
Constantly improve the technology stack, supporting the data growth
Work in a Big Data company with cutting-edge technologies

we are seeking a talented Engineer to join our Big Data Analytics Tools group in Israel.
This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.
You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.
If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do:
Be part of an engineering team that focuses on Big Data analytical platforms and tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines
Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities