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We are looking for an experienced Marketing Automation Specialist with a solid background in marketing tech-stack management, digital marketing channels, and marketing operations. This role is essential for streamlining our marketing efforts by ensuring alignment between organization goals and systems, and improving the quality and velocity of our marketing activities. The ideal candidate will be responsible for:
Marketing Tech-Stack Management - oversee and optimize our marketing systems and tools (including CRM systems, email marketing platforms, event platforms, analytics tools), and work collaboratively with the revops team for seamless integration, enhancements.
Data Management and Analytics - ensure data quality and compliance. Analyze data and performance metrics to identify trends, patterns, and opportunities for improvement, and provide insights and recommendations to the leadership team.
Lead Management - Manage the lead generation and lead lifecycle processes (creation, optimization, data flow, etc.)
Campaign Management - manage operational processes and automations, including setting up forms, automated emails, UTMs generation, testing, data import and analysis.

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 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

we are looking for a C++ Developer.
As part of your role, you will design the architecture, develop, and deploy a new consumer-facing product from the ground up. This role uniquely blends deep low-level R&D with the challenges of performance optimization at a large-scale. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but still hungry to learn and impact - wed love to have you on our team!
Design, build, and maintain the core modules of a cutting-edge consumer-facing product, poised to compete at the highest level with the worlds leading tech companies.
End to end research and development of complex low-level features as part of a large scale project built by a small team.
Plunge into a world of data, analytics, and ML.
Work closely with data scientists and developers to understand the business from top-to-bottom.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends.

We are looking for a passionate Senior AI-Native Backend Engineer to join our small, high-caliber team. You will design, develop, and deploy the core systems behind our real-time bidding engine - a Go-based service that processes over 2 million requests per second, running a multi-step pipeline of campaign selection, ML prediction, and bid calculation, all within single-digit milliseconds. You'll also build and maintain the surrounding infrastructure: data pipelines, configuration systems, ML serving layers, and internal tools - working across Go and Python in a microservice environment.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but hungry to learn and have outsized impact - wed love to have you on our team!
Design & build backend services of a cutting-edge consumer-facing product, designed to compete at the highest level with the worlds leading tech companies.
Work closely with data scientists and developers to understand the business from top-to-bottom and identify new modules that could turbocharge company processes
Improve our user-facing modules and tackle diverse issues like solving worldwide caching and optimizing page performance
Work on features that bring real-time data, analytics, and machine learning directly into the product, shaping how users interact with AI-driven functionality at scale.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends

we are looking for a Applied AI Data Scientist.
What Youll Do:
Devise, initiate, manage and execute cutting-edge exploration and exploitation projects.
Apply your knowledge of Data Science, Machine Learning and AI-driven algorithms to create scalable data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and develop automated, intelligent systems to address them.
Design, build and deploy AI/ML models (including predictive models, recommendation systems and generative AI solutions) to drive business impact.
Leverage modern AI tools and frameworks to accelerate research and production workflows.
Proactively seek growth opportunities aligned with core KPIs.
Enable real-time and near real-time data insights - instant data gratification guaranteed.

we are looking for a Senior BI Lead.
What Youll Do:
Lead and grow the BI team- mentor data professionals, raise technical standards, and build a culture of ownership and continuous improvement
Partner with Product, Marketing, R&D, and leadership to translate complex business needs into scalable data solutions
Design and own end-to-end BI solutions- from data modeling and pipelines to dashboards and executive-level storytelling
Leverage AI as a core working tool- build automations, custom AI workflows, and smart processes that multiply your team's output
Drive a continuous improvement loop- define metrics, run analyses, identify performance gaps, and close them fast
Lead cross-functional analytics projects across the organization, acting as a strategic thought partner, not just a reporting layer
Evaluate and implement BI tools and technologies that match where the business is going, not just where it's been
Proactively surface opportunities- use advanced analysis to uncover insights before the business knows it needs them