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We are seeking an experienced, hands-on Director of IT to lead our global IT teams (primarily in Israel and Belarus) and support over 500 employees worldwide.
This role operates within a hybrid IT model, where some systems and services (including endpoint management and corporate tooling) are managed centrally at the group level, while others are owned locally.
You will be responsible for ensuring seamless operation, alignment, and efficiency across these environments, while driving a modern, cloud-first, and automation-driven IT function.
Responsibilities
Lead and scale global IT operations, including corporate IT, helpdesk, and internal infrastructure
Own the IT strategy, roadmap, and annual budget aligned with business growth and efficiency goals
Operate within a hybrid IT environment, ensuring alignment between centrally managed and locally managed systems
Act as the primary focal point for collaboration with group-level IT functions, including coordination, alignment, and escalations
Drive a cloud-first and SaaS-driven IT environment, optimizing tools, performance, and cost
Improve IT operations through automation, self-service, and AI-driven workflows (e.g., onboarding, ticketing, access management)
Oversee identity and access processes, endpoint lifecycle, and device management in coordination with central platforms
Ensure high availability and performance of IT services across all locations
Establish and enforce IT standards, processes, and KPIs (SLAs, user satisfaction, response times)
Partner closely with Security to enforce policies, strengthen endpoint posture, and support compliance requirements (e.g., SOC 2, internal audits)
Manage and mentor team leads, build a strong ownership culture, and develop talent
Own vendor management, procurement processes, and cost optimization initiatives
Lead global IT projects and system implementations.

Required Product Manager - Platform
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
This is one of the most influential product roles. As a Product Manager - Platform, youll own the technical foundations behind the core app experiences that drive our global usage. Messaging, communication, and everyday interactions for millions of users around the world. This role sits at the intersection of deep technology and business strategy, requiring you to influence the architecture of massive-scale distributed systems while simultaneously articulating their value to senior leadership.
Responsibilities
Drive the strategy, roadmap, and execution of our platforms across mobile and desktop clients, in close collaboration with the R&D team.
Partner with Engineering, Analytics, Business leadership, to define and deliver a product vision that balances user needs, business growth, and technical opportunities.
Own the measurement and improvement of technical performance and usability across platforms.
Scale usage, retention, user satisfaction, and monetization through scaling experiences across platforms.
Define, monitor, and analyze Key Performance Indicators (KPIs) and Service Level Objectives (SLOs) for your products. Use this data to make difficult trade-off decisions, measure success, and drive continuous improvement.

Required Data Engineering Manager
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

Required Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical machine learning and deep learning models that will impact company goals directly.
Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Senior Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities:
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.