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Were looking for a talented R&D Director to lead the R&D department for Viber Business Messages and Bots. As a R&D Director youll lead teams building scalable, high‑impact features that enable businesses worldwide to connect with customers via Viber Business Messages API. Youll balance technical leadership, team growth, and strategic alignment with business and product goals to scale global product. This is a highly influential senior role that has a significant impact on the success and roadmap of the product and business.

The right person should have experience in leading, hiring and coaching high performance teams of mobile client development, backend, and QA engineers. You will be working closely with senior management, product management, business leads, and with our global teams (Tel-Aviv, Russia, UK and others). Ideal candidates will have experience from API or communications platform driven B2B or B2B2C company.

Responsibilities:
Manage and coach high-performing global teams of client, backend, web and QA engineers.
Experience building and leading platform engineering efforts in messaging, cloud services, or communications platforms.
Quickly deliver high quality, scalable, mobile application and backend infrastructure.
Measure, analyze, and improve existing software to enhance performance and functionality.
Exceptional verbal and written communication skills with the ability to convey complex concepts clearly and concisely.
Partner with leaders across the business to align R&D organizational goals with business goals.

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.

We are seeking a Technical Customer Success Manager (TCSM) with a proven track record in cybersecurity and enterprise customer engagement. This role is pivotal in driving customer success, maximizing Hyver adoption, and ensuring the delivery of high-impact cybersecurity services.
Responsibilities:
Customer Success & Strategic Advisory: Serve as a trusted advisor to enterprise customers, helping them understand and reduce cyber risk using the Hyver CRQ platform. Build and maintain strong relationships with CISOs, security teams, and business stakeholders. Act as the primary technical point of contact, managing escalations and ensuring customer satisfaction.
Hyver Platform Enablement: Lead onboarding, training, and continuous enablement to ensure deep adoption of Hyvers cyber risk quantification and exposure management capabilities. Translate complex cybersecurity data into actionable insights aligned with business priorities.
Professional Services Oversight: Coordinate and oversee delivery of red team, blue team, threat intelligence, and other professional services. Align service engagements with customer goals and ensure measurable outcomes.
Retention, Growth & Expansion: Drive customer retention through proactive engagement and value realization. Identify upsell and cross-sell opportunities in collaboration with the sales team.

we are looking for a Cyber Security Expert with hands-on experience in offensive security, possessing strong technical capabilities, in-depth knowledge of adversary simulation, and a passion for Red Team operations.
Responsibilities:
Participate in Red Team assessments that simulate real-world threats and remain undetected by the client's defensive team. These stealth operations simulate advanced adversaries and require careful planning, execution, and OPSEC
Lead or co-lead portions of internal and external offensive assessments, including perimeter exploitation and post-exploitation in Active Directory
Perform Purple Team engagements to help clients improve their monitoring and detection capabilities while sharpening your own offensive skills
Document attack paths, risk analysis, technical findings and remediation guidance in detailed reports tailored to both technical and executive audiences.
Collaborate with the team to develop and maintain internal tooling, scripts, and documentation for offensive operations
Continuously research and test new techniques, tools, and attack paths to further enhance Red Team capabilities