לוח משרות דרושים בתל אביב יפו

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 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.

As we continue to grow, we are looking for a talented and experienced Backend Developer to join our Infrastructure Team and play a key role in shaping the foundation of our products.

Responsibilities
Work closely with architects, product managers, and cross-functional teams to design, build, and enhance the infrastructure powering our products
Provide long-term solutions for deep and complex problems affecting multiple teams/products, ensuring high performance, scalability and maintainability
Full ownership of the entire development cycle, including requirements gathering and refinement, design, development, testing, deployment and maintenance
Research, evaluate, and recommend new technologies, creative solutions and architectural approaches with cross-organizational impact
Take ownership of infrastructure design and implementation, optimizing for hybrid deployment models (SaaS, on-prem, cloud)
Deliver design and code that meet high standards of quality, efficiency and flexibility
Troubleshoot and debug backend issues and provide timely resolution

As the Product Manager for Enrich, youll define the products strategy, shape its roadmap, and drive its adoption and growth across a range of customer and market needs.

Responsibilities
Own the product vision and roadmap for Enrich, aligning with company strategy and evolving customer needsbalancing long-term direction with short-term execution.
Define and evolve use cases that leverage ' enrichment models to deliver value to banks across digital experiences and data platforms.
Translate market and customer insights into clear product requirements and prioritization decisionspartnering closely with data, engineering, go-to-market, and customer-facing teams.
Drive product packaging, positioning, and enablement to support customer adoption, sales, and integration across diverse deployment models and geographies.
Lead strategic market research and competitive analysis to guide long-term product positioning, identify whitespace opportunities, and support marketing and go-to-market planning.
Participated in strategic sales as trusted advisor and product expert.
Lead and promote the product internally and externally by working collaboratively with presales, sales, CS and PS as well as r and d, other product managers and product marketing.

As a Product Manager, Platform Services & SaaS, you will own core backend platform servicesincluding APIs, deployment models, and upgrade lifecycle standards. In this role, you will drive the strategic shift to SaaS: defining our SaaS product experience and offering. You will collaborate across Product, R&D, Delivery, Customer Success, and Sales to ensure the platform delivers on scalability, upgrade efficiency, and operational excellenceempowering both teams and our global bank partners.

Responsibilities
Own and evolve foundational backend APIs that power product delivery and platform extensibility.
Define and continuously improve SaaS offering, including onboarding experience, value proposition, and packaging of infrastructure capabilities.
Drive upgrade lifecycle standards, tooling, and cross-platform compatibility to enable smooth upgrades for all client types.
Externalize system health and performance signals via APIs and tooling for both Ops and bank partners.
Partner with data, operations and Professional Services to ensure seamless integration between data ingestion, enrichment, and core platform services.
Support internal delivery and enablement teams with standardized documentation, sample configurations, and reusable deployment tooling.

Lead the end-to-end development of the companys business products.
Manage a team of developers and QA engineers in an agile environment, supporting their professional growth and development.
Drive technical features from design through implementation and code review.
Collaborate closely with cross-functional teams including Product and Customer Success to ensure delivery of high-quality, valuable products to our customers.
Own and promote architectural best practices across the companys business services.

We are seeking an experienced Software Architect to lead the design and evolution of our modular, component-based platform. This role is central to shaping scalable, maintainable, and future-ready backend systems as we modernize existing solutions and develop new ones. You will own architectural direction, define and enforce technical standards, and collaborate across teams to align design decisions with business, operational, and product goals.

The role focuses on system design, technical governance, and documentation, with hands-on contributions to PoCs, prototypes, and MVPs where needed.

Responsibilities
Design and document scalable, modular backend architectures that support componentized platform development.
Lead architecture reviews and provide actionable guidance to development teams.
Define, provision, and enforce architectural standards, patterns, and governance practices across teams.
Support system modernization and greenfield development initiatives.
Ensure architecture decisions are aligned with long-term product strategy and evolving toward SaaS-based delivery.
Collaborate with Product, DevOps, QA, and Data Engineering teams to align architecture with cross-functional needs.
Contribute hands-on to early-stage initiatives (e.g., PoCs, architectural spikes, MVPs) to de-risk implementation paths.
Design systems with security, auditability, observability, and operational resilience in mind.
Promote engineering best practices, CI/CD adoption, and high-quality coding standards across the organization.
Incorporate and encourage the use of AI-assisted development tools to improve efficiency, consistency, and innovation.