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Fiverr is looking for a brilliant Data Analyst to join our fast-growing company and Data department. As part of this position, you will be working alongside various teams that are responsible for shaping our top-tier clients' and freelancers' experience. You will take a significant part in decision-making and proactively guide our business growth, based on data analysis We’re looking for someone who is AI-native, tech-savvy, and curious by nature — a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action. You will be required to answer complex and strategic questions defined by executive management and various business units, create insightful recommendations, and initiate deep-dive analysis for specific domains. You will need to support new initiatives and proactively guide the business growth, working independently and within a team.

What am I going to do?:

* Data analysis focal for business & product-related teams
* Proactively provide insights that will lead the business growth
* Ability to model/simulate new features & opportunities, estimated impact
* Build and maintain the team’s reporting set and dashboards
* Manage multiple tasks in a fast-paced working environment
* Conduct deep-dive analyses with actionable recommendations and conclusions

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

Entain is one of the world’s largest sports betting and gaming companies, listed on the London Stock Exchange with a $4 billion valuation and a global team of 30,000 employees . We own and operate some of the biggest betting brands in the world, including bwin, Ladbrokes, Coral, and PartyCasino , serving millions of customers across multiple markets. As an industry leader, we are at the forefront of innovation, data-driven marketing, and cutting-edge technology , constantly pushing the boundaries of what’s possible in the world of online betting and gaming.

Responsibilities:

* Hands-on campaign building and management
* Full responsibility for more than $100K’s/Month account activity
* Daily activity management, monitoring of results and optimization: Ads, assets, negative, SQR
* Work with tight monthly goals
* Expanding the activity (keywords, ads, campaigns) regularly based on sports events and with revenue focus optimization and business needs
* Weekly & Monthly reporting and as requested

We are looking for a Key Account Manager.
The Account Manager is a key player responsible for nurturing and growing client relationships within our enterprise-level accounts. Collaborating with the Account Management Regional Lead, you'll drive revenue generation, manage partnerships, and contribute to RFPs.
Responsibilities::
Build and maintain strong client relationships by understanding their unique needs and objectives, managing overall partnerships, and addressing escalations with internal teams to ensure SLAs are met.
Drive revenue growth by identifying opportunities for upselling and cross-selling within client accounts. Collaborate with the Regional lead and internal teams to develop and execute amendments supporting new solutions.
Ensure exceptional service delivery by meeting and exceeding client expectations, promptly addressing and resolving issues, and conducting regular partnership calls to understand clients' business needs and future.
Collaborate with the Regional lead and stakeholders to support RFPs and RFIs, contributing to the development of compelling proposals showcasing the company's value proposition, and participating in RFP interviews with the Sales team.
Strive to achieve individual and team KPIs as defined by the Organization, continuously monitor progress, and take corrective actions when necessary. Ensure alignment with the Service Delivery team and address issues proactively.
Optimize client interactions and sales strategies by utilizing playbooks and processes. Provide valuable feedback and suggestions for process improvements based on real-world client experiences.

We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.

In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.

You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.

If you enjoy working at the intersection of AI and engineering bringing models to life in production, optimizing for performance, and building reliable systems this role is for you!

Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models

We are seeking a detail-oriented and proactive Accounts Receivable Specialist to join our finance team. In this role, you will take ownership of the full AR cycle from issuing invoices to driving collections and improving processes. Youll play a key role in ensuring accurate, timely cash receipts and collaborate cross-functionally to support revenue operations and customer success.

Responsibilities


Manage Collections: Initiate and manage collection activities to ensure timely payments and healthy cash flow.
Invoicing & Reimbursements: Own the calculation, invoicing, and collection of customer expense reimbursements.
Revenue Billing: Issue invoices on schedule for both license and service revenue streams.
Customer Onboarding: Lead the finance portion of customer onboarding, including billing setup, tax configuration, and payment terms.
Reporting & Tracking: Build and maintain reporting processes to monitor overdue invoices, track cash receipts, and drive follow-up actions.
Issue Resolution: Handle escalations, resolve billing discrepancies, and coordinate with Legal when needed.
Process Improvement: Design and implement scalable processes and automations to continuously enhance the AR cycle.
Sales Tax Compliance: Own sales-tax collection and ensure accurate, on-time filings and remittances.

We are seeking an experienced, solution-focused professional to join our Business Analyst team in Tel Aviv. In this role, you will act as the primary point of contact and subject matter expert for deploying ' product within our clients. This position blends analytical insight with technical proficiency as well as strong client-facing communication. You will lead the implementation lifecycle, guide financial institutions innovation teams through onboarding and customization, and ensure the effective delivery and continued success of offerings.

Responsibilities
Serve as the primary contact for a portfolio of financial institutions throughout the entire implementation lifecycle.
Lead client onboarding and provide strategic guidance (including on-site workshops), ensuring a comprehensive understanding and effective use of solutions.
Conduct detailed data analysis, including data mapping and integration processes, validating insights, and driving data remediation processes.
Perform performance monitoring and statistical analysis to optimize and enhance product usage, client satisfaction, and overall effectiveness of deployed solutions.
Respond to Business and Functional requirement requests
Design and write functional specs for customer requirements
Support the implementation team during users acceptance test
Work closely with business and technology units
Research, analyze and organize big data from both technical and business perspective
Analyze, specify, and validate new business requirements and participate in new product designs

We are looking for an experienced and visionary Data Platform Engineer to help design, build and scale our BI platform from the ground up.

In this role, you will be responsible for building the foundations of our data analytics platform enabling scalable data pipelines and robust data modeling to support real-time and batch analytics, ML models and business insights that serve both business intelligence and product needs.

You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.

If you enjoy architecting from scratch, turning raw data into powerful insights, and owning the full data lifecycle this role is for you!

Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability and security.

Lead the design and architecture of the data platform from integration to transformation, modeling, storage, and access.

Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.

Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.

Integrate modern tools and frameworks such as Airflow, dbt, Databricks, Power BI, and streaming platforms.

Collaborate cross-functionally with product, engineering, and analytics teams to translate business needs into data infrastructure.

Promote a data-driven culture be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

We are looking for a skilled DevOps Engineer to join our R&D infrastructure team and play a key role in building and scaling cloud-based platforms. In this position, you will design, implement, and maintain modern CI/CD pipelines, manage multi-cloud environments, and support microservices-based architectures. You will work closely with developers, QA, and product teams to streamline delivery processes, improve system reliability, and ensure smooth deployments. This is a hands-on role where you will directly influence the stability, scalability, and efficiency of our production systems while leveraging cutting-edge technologies across AWS and Azure.

Responsibilities
Infrastructure as Code (IaC): Develop and maintain infrastructure using tools like Terraform, Ansible
Cloud Infrastructure Management: Deploy, manage, and monitor applications in cloud environments(aws and Azure)
Collaboration & Support: Work closely with developers, QA, and product teams to streamline releases and improve productivity.
Provide technical support for development and operations teams during incidents and deployments.
CI/CD Pipeline Management:
Design, implement, and maintain continuous integration and delivery pipelines. Automate build, test, and deployment processes to improve speed and reliability.

Were looking for a talented and experienced Frontend Engineer to join the Core Client team . In this role, you will play a key part in the development and evolution of our Client Engage productan essential component of platform, which delivers real-time, personalized digital banking experiences across global financial institutions.

You will work at the heart of our technology, contributing to the design, development, and optimization of high-quality, scalable, and customizable UI components and infrastructure, while collaborating closely with design, product, and backend teams.



Responsibilities
Design and implement core features and infrastructure of the Client Engage platform.
Build robust, maintainable, and reusable components using React and TypeScript.
Ensure high-quality UI/UX through responsive design, cross-browser compatibility, and performance optimization.
Contribute to technological and architectural decisions and help shape the front-end ecosystem.
Collaborate with team members across Product, UX, Backend, and Mobile teams.
Participate in code reviews, knowledge sharing, and ongoing process improvements.
Maintain and contribute to the evolution of our Design System and white-label platform.
Support the integration of our product across different client environments and mobile platforms (e.g., React Native, Swift, Kotlin).
Help define and improve our CI/CD pipelines and automated testing workflows.

We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.

Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.