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we are Seeking: part-time Bilingual Administrative Support

Provide administrative support and creative brainstorming for partnership development with public, private, and third sector organizations, to help expand impact across Europe.

We are seeking a highly motivated NOC Engineer to join our support team in Israel.
In this role, you will monitor and maintain critical systems and environments, respond to Real-Time incidents, and support a wide range of technologies.
This position is ideal for a Computer Science student in the final year of studies who is eager to gain hands-on experience in a dynamic, 24/7 environment.

We are looking for a driven, tech-savvy, Technical CSM to join our team. In this role, you will provide professional services for our clients.
You will set up Connecteam features based on their processes, help integrate Connecteam with other platforms, and migrate data from other platforms into Connecteam. You will collaborate closely with CS and R&D teams to develop expertise and provide top-notch service, streamlining customer processes, onboarding and saving them valuable time
Responsibilities:
Meet with clients daily to provide the above services.
Work offline for clients to complete work given by them.
Build and maintain strong relationships with customers to understand their needs and provide tailored solutions.
Manage multiple tasks in a fast-paced and high-pressure environment.
Collaborate with CS and R&D teams to ensure a seamless customer experience.

Were looking for a Senior Talent Acquisition Partner to join our HR team and play a key role in driving our companys growth.
This is a strategic, hands-on position for someone who thrives on ownership, leads processes from A to Z, and brings broad business thinking into every hiring decision.
Youll partner closely with hiring managers, influence hiring strategies, and shape how we attract and engage top talent globally.
What you'll be doing:
Lead full-cycle recruitment for a wide range of technical and non-technical roles.
Act as a strategic partner to hiring managers - from defining needs to final offers.
Own and drive multiple recruitment processes simultaneously, ensuring high quality and efficiency.
Initiate and lead recruitment-related projects and process improvements, driving innovation and impact across the organization.
Develop creative sourcing strategies to build and maintain strong talent pipelines.
Use data and analytics to track performance, optimize processes, and provide insights to stakeholders.
Collaborate cross-functionally with leaders in Israel, the US, and Australia to support growth efforts.
Promote our employer brand through campaigns, events, and digital channels.
Deliver an exceptional, human-centered candidate experience throughout the process.

We are seeking a skilled and experienced Senior Frontend Infrastructure Engineer to join our Core Team. As a member of this team, your main responsibility will be crafting and evolving the frontend infrastructure of our product. You will focus on building resilient, scalable frontend frameworks, tools, and libraries that empower and support our React-based application and the teams building on top of it.
Responsibilities:
Design, develop, and maintain frontend infrastructure, including frameworks, tools, and libraries, to ensure high performance, scalability, and long-term maintainability.
Work closely with product and R&D teams to understand requirements, influence technical decisions, and ensure infrastructure solutions align with real product needs.
Serve as a senior technical authority in the frontend domain, leading by example through high-quality architecture, code, and best practices.
Identify and implement improvements to the frontend development experience, including automation, developer tooling, code reuse, and performance optimizations.
Take part in architectural discussions and help shape frontend standards and conventions across the organization.
Stay up-to-date with modern frontend technologies, trends, and best practices, and apply them pragmatically to improve development efficiency and product quality.
Conduct code reviews with a strong focus on maintainability, performance, and scalability.
Troubleshoot and resolve complex frontend infrastructure issues in collaboration with other engineers and infrastructure teams.

We are looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.
Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.

We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.
Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.
In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.
This is a unique opportunity to help build the next generation of the data organization.
Key Responsibilities
Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
Design and build scalable data warehouse models and transformation layers
Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
Improve performance, reliability, and scalability of the analytics platform
Develop automation and internal tools that accelerate analytics workflows
Enable self-serve data access across the company through semantic layers and reusable datasets
Collaborate with analysts and business teams within an analytics squad.