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we are hiring Engineering Managers to lead rapid scaling internationally. We want the most creative and experienced engineering leaders to join us in giving people the power to build community and bring the world closer together. We are looking for Software Engineering Managers with progressive technical experience, a demonstrated progression of management scope and a passion for managing outstanding engineers in a fast-paced environment.
Software Engineering Manager, Tel Aviv Responsibilities
Be a highly technical, hands-on and an effective people manager
Mentor and support engineers' growth and success, help them to find and focus on their strengths
Lead and guide engineering culture to form a high performance team
Communicate across functions and drive engineering initiatives
Participate in technical design
Be a subject matter expert in a product domain
Define and influence product strategy
Maximize efficiency in a constantly evolving environment where process is fluid and creative solutions are the norm
Contribute to the overall maturity of deployment and other processes.

The company Technical Program Management community is pioneering technologies to bring people (and businesses) closer together at a global scale. Technical Program Managers work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering, Product, and other cross functional teams. Being a TPM at our company means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining requirements for new products and features. It also means having a technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact. You will be leading technical strategy and execution on the company-wide platforms and services that are used across our company, WhatsApp, Instagram, Messenger, and Reality Labs. Teams span across Ads, Business Integrity, Monetization, Commerce, Business Messaging, Privacy, Social Impact, Central Integrity, Growth, Central Metrics, Internationalization, Platforms for Family of Apps, Groups, Search, Foundation, Infrastructure, and other areas. This posting represents different full-time roles across the company.
Technical Program Manager Responsibilities
Drive complex programs fully autonomously, creating structures that drive efficient execution
Manage and own cross-functional products and programs execution in a matrix organization
Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area
Help define the roadmap and long-term strategy of the teams that you are working with
Design measurements to track impact and drive internal process improvements
Define goals and milestones for your programs with clear technical strategy"
Collaboratively define the strategy for building our company-scale, state-of-the-art, global products
Develop and manage end-to-end project plans to ensure on-time delivery, provide day-to-day coordination, and quality assurance for tasks
Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across our company to establish a shared vision for improving execution and building solutions
Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders
Help drive product decisions to align with higher company initiative
Establish shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for our company.

Were seeking our first Data Engineer to join the Revenue Operations team. This is a high-impact role where youll build the foundations of our data infrastructure connecting the dots between systems, designing and maintaining our data warehouse, and creating reliable pipelines that bring together all revenue-related data. Youll work directly with the Director of Revenue Operations and partner closely with Sales, Finance, and Customer Success.
This is a chance to shape the role from the ground up and create a scalable data backbone that powers smarter decisions across the company.
Role Overview
As the Data Engineer, you will own the design, implementation, and evolution of our data infrastructure. Youll connect core business systems (CRM, finance platforms, billing systems,) into a central warehouse, ensure data quality, and make insights accessible to leadership and revenue teams. Your success will be measured by the accuracy, reliability, and usability of the data foundation you build.
Key Responsibilities
Data Infrastructure & Warehousing
Design, build, and maintain a scalable data warehouse for revenue-related data.
Build ETL/ELT pipelines that integrate data from HubSpot, Netsuite, billing platforms, ACP, and other business tools.
Develop a clear data schema and documentation that can scale as we grow.
Cross-Functional Collaboration
Work closely with Sales, Finance, and Customer Success to understand their reporting and forecasting needs.
Translate business requirements into data models that support dashboards, forecasting, and customer health metrics.
Act as the go-to partner for data-related questions across revenue teams.
Scalability & Optimization
Continuously monitor and optimize pipeline performance and warehouse scalability.
Ensure the infrastructure can handle increased data volume and complexity as the company grows.
Establish and enforce best practices for data quality, accuracy, and security.
Evaluate and implement new tools, frameworks, or architectures that improve automation, speed, and reliability.
Build reusable data models and modular pipelines to shorten development time and reduce maintenance.

Join the Growth Tech TLV team to build platforms, interfaces, and telco‑facing products that accelerate growth for our company .
Senior Software Engineering Manager - Growth Tech Responsibilities
Contribute to the broader technical and organizational strategy. Identify opportunities for innovation, influence technical direction, and help shape the long-term strategy for the team and organization
Direct the planning, execution, and delivery of complex technical projects. Ensure high-quality engineering standards, remove roadblocks, and drive the team toward successful outcomes that align with organizational goals
Lead, mentor, and develop a team of managers, fostering growth, collaboration, and high performance. Provide regular feedback, support career development, and ensure team members are engaged
Partner closely with product, design, data, and other engineering teams to define priorities, set clear goals, and deliver impactful solutions. Facilitate effective communication and alignment across stakeholders.

Required CEO PA & Office Manager
About the Role:
The Personal Assistant to the CEO will play a pivotal role in supporting the CEO in various administrative and operational tasks, as well as general assistance with our office operations. This role requires exceptional organizational skills, discretion, and the ability to handle sensitive information with confidentiality.
Key Responsibilities:
Schedule Management:
Maintain and manage the CEOs calendar, including scheduling meetings, appointments, and events.
Prioritize and coordinate commitments to optimize the CEOs time and productivity.
Trusted Advisor for Personal Matters:
Build a strong relationship with the CEO and provide support on personal matters as needed.
Demonstrate discretion and confidentiality in handling personal information.
Travel Coordination:
Arrange and book travel accommodations (flights, hotels, transportation) for the CEO and to the co-founders as required.
Prepare detailed travel itineraries and ensure smooth travel logistics.
Administration
Support our office operations and administration to ensure a well-organized and efficient workplace environment.
Manage office supplies, equipment, and facilities maintenance.
Coordinate with external vendors and service providers as needed.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

our company was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at our company offers countless ways to make an impact in a fast growing organization. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Code Generation (PhD) (Tel Aviv) Responsibilities
Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

we are looking for a Security Engineer with experience in threat modeling, TTP identification, and detection engineering. Youll work alongside Software Engineers and Offensive Security Engineers to identify critical assets, assess the top risks, and evaluate potential attacks against our company systems. You will be working across engineering teams to develop detection and response automation leveraging both industry-standard and custom detection and response platforms. Youll generate detection ideas utilizing some of the worlds largest data sets and build on top of hyper-scale data pipelines.
Security Engineer - Surface Coverage, Detection Engineering Responsibilities
Lead cross-functional projects to improve our capabilities to effectively detect and respond to security incidents
Review security architecture of large-scale custom and commercial systems and independently propose logging, detection and prevention controls
Perform TTP-based Threat Modeling for a wide variety of assets including endpoints, mobile, servers, internal services, public & private cloud environments and networking equipment
Perform analysis against logs from a variety of sources (e.g., individual host logs, network traffic logs) to identify potential threats and detection ideas
Build response workflows and actions that auto-resolve false positives and provide context scaling our ability to investigate
Support security incident response in a cross-functional environment and drive incident resolution
Design and implement attack testing automation to validate detection coverage
Build logging pipelines using our custom datasets and infrastructure.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io
About the role We’re looking for a Product Designer with exceptional visual and UI design skills to shape the next generation of Artlist’s creative products and web experiences.
As Artlist enters a new era of AI-powered creativity, you’ll design interfaces that are not only intuitive - but beautiful, expressive, and unmistakably Artlist . Your work will help millions of creators discover content, interact with AI tools, and bring ideas to life with clarity and style. What You’ll Do
* Lead end-to-end product design across Artlist’s web and product ecosystem - from insights and flows to refined, high-fidelity UI.
* Craft visually compelling, polished interfaces with strong typography, layout, hierarchy, motion cues, and interaction design.
* Design intuitive AI-powered experiences, making advanced creative capabilities simple, approachable, and inspiring.
* Shape the visual language of Artlist’s product surfaces, ensuring every screen feels cinematic, premium, and creator-friendly.
* Contribute to and extend Artlist’s design system, focusing on scalable, reusable, and visually consistent components.
* Partner with product, engineering, brand, and marketing to deliver cohesive experiences across product + web.
* Use data, research, and rapid prototyping to refine decisions, validate designs, and improve usability.
* Work fast and iteratively, exploring multiple visual directions and pushing for high-quality execution.

We're looking for a sharp, performance-driven, and creative Marketing Manager to lead the marketing strategy and execution for out platform of new real estate developments.
- Own the E2E marketing strategy across B2C audiences
- Lead a performance-oriented operation focused on delivering high-quality leads
- Plan, execute, and optimize multi-channel marketing campaigns
- Analyze user behavior, funnels, and market dynamics
- Drive productmarketing alignment - define positioning, messaging, value propositions and go-to-market plans
- Evaluate and shape creative concepts
- Develop user journeys, generate insights and optimize the customer experience
- Work closely with Product, Sales, and Customer Success to align business goals
- Lead retention, monetization, and engagement initiatives
- Conduct market research, map competitive landscapes, and identify strategic growth opportunities

Central Applied Science (CAS) is a research and development team, working to improve our companys products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the company family of apps. The work we do enhances the company family of apps that enable billions of people to communicate with each other daily. Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at our company and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise. We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of our companys successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at our company. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of our company's unparalleled data infrastructure.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.

As a Data Scientist at our company, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining our company, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and our company. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

As a Data Engineer at our company, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across our company to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining our company, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact.

we are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are seeking a Commercial Director to join our Israel Leadership team. This person will have a key role in the tech industry in Israel, working closely with B2C tech and B2SMB startups at all stages, and collaborating with sophisticated performance driven export partners in the industry such as the VC industry, creative and performance agencies ,etc. Israel is one of the most strategically important markets for our company globally, both in terms of shaping our global approach and creating lighthouse work and initiatives that translate across the world to other Digital Native export startups. This position reports to the VP, Israel, Gaming and Southern Europe and is based in TLV.
Commercial Director, Israel Responsibilities
Develop and implement best in class client and industry work, including a superb understanding of working with sophisticated performance driven export partners, bring both deep media capabilities as well as business savvy to allow for business growth opportunities for our clients.
Develop a strong cross-functional operations and collaboration with Creative Shop, Measurement, Business Engineering, Product, Data Science, SSPO, etc., to align everyone behind the same strategy with clear and aligned planning and execution.
Build a strong ecosystem approach working with entrepreneurs, VCs, partners, thought leaders to enhance our work with the current client base as well continuously identify new companies that have the potential to grow massively on our platforms.
Build, train and maintain a diverse, world-class, high performing team with a strong inclusive culture to support established and emerging partners.