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powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary
Delivers against sales and net revenue targets at country level
Designs strategies, messaging, and proposals for customers together with Account Managers on all segments
Analyses the customers business through profitability modelling financial forecasting and competitive analysis, together with the Account Managers
Manages key customer relationships at the "VP" and C-level
Manages execution of sales plans including business development, marketing and product management with Account Team
Partners with key customers at cluster level to execute and report progress against annual business plans
Negotiates and executes on the customer agreement process
Identifies and recommends products to enhance the customers profitability
Formally supervises and coaches an intermediate Account team in Israel
Optimizes and deploys resources to increase collaboration between multi-functional teams to successfully execute the segments strategy and plans
Helps identify and coach top talent within own teams

Were looking for a talented product manager to drive the development of one of our key revenue driving products: Business Messages. This is a highly influential role that significantly impacts the success and roadmap of the product.

As a Product Manager for Business Messages, your primary mission is to lead the strategic planning and execution of our product portfolio to connecting people and businesses in 1:1 chats. The role and team focuses on developing tools tailored to drive revenue and adoption across key markets via direct and third-party integrations. This position requires a seasoned professional with a strong background in product management, a deep understanding of messaging, and the value it brings from a commercial perspective and user perspective.

Responsibilities
Be a subject matter expert in the world of business messaging
Drive our Business Messaging vision by understanding the competitive landscape including WhatsApp, Apple Messages for Business, RCS RBM, and SMS in order to position us as a leader in key markets.
Define and execute a multi-quarter roadmap aligned to growth, reliability, and monetization OKRs for Business Messages together with the Product Lead.
Work with external CPaaS/aggregators and enterprise companies on integrations, co-launches, and enablement. Partner with Sales, Support, and Customer Success to scale adoption.
Oversee the entire lifecycle of the product, from ideation and concept development to launch and ongoing optimization.
Conduct market and user research to identify trends and opportunities from partners and businesses using Business Messages.
Gather and analyze feedback and requests from partners and businesses, to better inform product decisions and our long-term roadmap.
Set and monitor key performance indicators (KPIs) related to business message solutions within us to assess product performance to inform and improve the product.

As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to key risk department initiatives such as predictive spam detection, performance forecasting, and identifying bad actors by using machine learning models.

Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement models and algorithms to solve complex business problems in risk & fraud domains. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.

Responsibilities:
Work with management and partner teams to design and implement solutions for given objectives.
Commitment to success metrics, ensuring low FP, and accurately measuring the impact and model performance.
Lead technical efforts to improve the performance of our Risk & Fraud models and propose initiatives in that domain to shape our long-term risk-mitigation vision.
Autonomously find solutions to complex data problems and understand the data generation process and the challenges with the data.
Leverage the extensive data received from our application to enhance model performance and accuracy.

As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.

Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

As a Senior Big Data Engineer on our BI team, youll build and scale the data infrastructure that powers our business insights. Youll design and implement robust data pipelines to process billions of daily records, leveraging cutting-edge cloud technologies and visualization platforms 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:
Design, Build, and operate scalable infrastructure for optimal data extraction, transformation, and loading from a wide variety of data sources, utilizing SQL, cloud migration tools, and Big Data technologies.
Work with a variety of programming languages, systems, frameworks, and cloud technologies, including Python, DBT, Airflow, AWS, Linux, Spark, and more.
Collaborate with customers and internal stakeholders to resolve data-related technical issues and support their data infrastructure and business needs.
Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.

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.

Were looking for a Customer Success Specialist to join our team.

Join us and become an integral part of our Customer Success efforts by providing technical support to key accounts, ensuring efficient and high-performing operational tools and processes for customers, partners, and our business unit team members.

Responsibilities:
Supporting business partners tickets over email.
Investigations and troubleshooting of reported technical issues
Manage escalations of issues to relevant R&D teams.
Support internal teams operational processes and requirements.
Work with Product and Business teams to convey partners requirements and business needs.