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Fiverr is looking for an experienced Indirect Buyer to join our Operations team! The Buyer will be part of the Procurement team and work closely with HR, Facilities, Marketing, and Technology departments, supporting a wide range of projects. We are looking for this special someone who thrives under pressure with a high attention to detail. They should demonstrate excellent organizational, exceptional multitasking, teamwork skills, “getting things done” approach , and AI Native mindset, as well as having experience with complex negotiations.

What am I going to do?:

* Global indirect purchasing focal point: Plan, execute, and manage the end-to-end procurement process
* Manages relationships with local & abroad key suppliers to achieve high quality performance, on-time delivery, and cost optimization
* Conduct market research and source new services and suppliers
* Day to day vendor management
* Provide excellent service to the relevant departments
* Work independently and prioritize multiple tasks and projects
* Manage complex legal contracts, ensuring compliance and mutual benefit

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. 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.

We are looking for a Senior Product Designer who thinks in systems, not just screens. Youll play a key role in shaping the future of our AI-driven trust platform, crafting intuitive experiences and interfaces for complex challenges in the B2B SaaS Enterprise space.
Our Mission:
Our data is our foundation. We are designing our Experience to be our defining advantage.
We believe that cohesive, beautiful, and purposefully designed experiences are what set us apart. We are on a mission to ensure that every touchpoint delivers a great experience, empowering businesses to manage their fraud and customer journeys with trust and confidence.
What you'll be doing:
Crafting complex features, data visualisations and AI capabilities for our next-gen platform that not only look great but drive real value and operational efficiency for our merchants.
Contributing to the growth and scalability of our internal design system (ShadCN based), ensuring consistency between design and engineering.
Partnering closely with Merchants, Product, Engineering and GTM to define solutions.
Accelerating our design-to-build workflow by utilising GenAI tools such as Claude-Code, Codex, and Lovable.
Collaborating across our global teams to align on a shared product vision.

We are looking for a Product Analytics Manager to serve as the analytical focal point of our product organization. You will define what success looks like-setting clear, measurable benchmarks for both internal and external performance-then regularly track progress, diagnose root causes of issues, and recommend strategic actions. You will build our product analytics function from the ground up, defining key KPIs and constructing the supporting infrastructure. Your analyses will guide decisions across the product organization, prioritizing initiatives that close gaps and unlock opportunities.
What you'll be doing:
Define and monitor core product KPIs (Top 4 + product-specific), set benchmarks, and build dashboards that highlight performance and flag gaps.
Diagnose issues and recommend prioritized, data-driven solutions to course-correct.
Oversee external benchmark tracking and compare against market and industry standards.
Maintain alignment across systems by enforcing metric definitions, approving deviations, and validating new metrics.
Shape KPI-focused narratives to support product marketing efforts, highlighting measurable results aligned to strategic outcomes.
Design new attributes for cross-product analysis and craft compelling visual and verbal stories that translate analytics into stakeholder action.

We are looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Lead the architecture and evolution of our decision engine and related services: real‑time decision APIs, rule and policy engines, model‑serving interfaces, and the orchestration layers that tie them together.
Design and implement highly available, low‑latency, distributed systems that process large‑scale event streams and support complex decision workflows.
Collaborate with product, risk, and customer‑facing teams to translate risk strategy and merchant needs into robust system capabilities (e.g., configurable decision flows, exemptions, auditability, analytics surfaces).
Mentor and coach engineers across levels in areas such as distributed systems design, reliability engineering, and systems thinking, elevating the overall standard of engineering in the group.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

Required Staff Engineer, Payments
Israel - Tel Aviv
About the role:
Were on a mission to build the first holistic smart payment solution-one that maximizes authorization rates for our merchants by intelligently determining and executing the optimal strategy for every transaction. Our Payments team is designing and running highly critical, production-grade infrastructure, and were looking for a deeply technical engineer to help shape it from the ground up.
In this role, youll lead the design and development of payment products, build resilient infrastructure, dive deep into technical complexity to solve production challenges, and work closely with teammates, stakeholders, and customers to understand their needs. Youll have end-to-end ownership-from architecture and coding to deployment and monitoring-while helping set the technical direction for a growing initiative.
This is an early-stage effort, giving you the chance to be a founding member, influence architectural decisions, and directly impact merchant success. We value thoughtful technology choices, resourcefulness, and a fast-moving, problem-solving mindset. Our engineers are creative, independent, and adaptable, working with a diverse stack of technologies to deliver maximum value to our clients.
What youll be doing:
Build and enhance payment products-creating new systems from scratch while improving and integrating with existing ones
Design and implement resilient, production-grade infrastructure that can handle critical workloads
Lead technical initiatives within the Payments team, collaborating with teammates and stakeholders across
Work across a diverse tech stack and programming languages
Brainstorm and shape features with product managers and peers, guiding decisions with your technical expertise
Work closely with customers to understand their needs and translate them into impactful payment solutions
Mentor and support fellow engineers
Dive deep into technical complexity to diagnose and solve production issues
Take initiative-if you see a way to make our systems or workflow better, own it and make it happen.

We are looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, well provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.
ML is central to our work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial-our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.
Why should you join us?
Youll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML-building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.
What you will be doing:
Designing and building the data-heavy components of our ML infrastructure, allowing our models to make billions of real-time decisions every year.
Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
Optimizing the "Feature Store" concept-ensuring that the data used for training matches the data used in production for real-time serving.
Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are seeking a senior back-end engineer passionate about building scalable, resilient systems and driving impact through technology. Join us as we evolve a key product in our portfolio and take a leading role in shaping our Chargeback Coverage & Resolution solution - one of our standout market offerings.
Chargebacks serve as a consumer protection mechanism, allowing people to reclaim funds for fraudulent charges or disputed purchases. However, this system is often exploited by bad actors engaging in fraudulent activities that harm the businesses behind the products you love.
Our Dispute Group is dedicated to safeguarding these companies, using innovative technology to combat chargeback abuse and protect their growth.
If you're driven by ownership, excited about solving complex challenges, and eager to make a meaningful impact, wed love to hear from you!
What you'll be doing:
Develop a fully automated dispute platform to prevent, deflect, and recover chargebacks to reduce revenue loss. The system will support generating millions of dollars in yearly revenue, remove friction, and streamline obsolete operational processes.
Build and maintain a high-performing, scalable chargeback management system handling tens of thousands of requests daily, originating from various input sources and reporting at changing rates.
Define and optimize the scale, reliability, observability, and SLOs of the chargeback management platform.

We are looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity, whether you have experience with ML and are looking for a ML focused product or are an experienced Data Engineer looking to enter the world of ML. Together well provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.
ML is central to our work. It enables us to process billions of $ worth e-commerce transactions, make decisions in real time, identify fraud rings, and quickly detect new attack methods. Precision is crucial - bad decisions by our models cost us directly and put money into the pockets of fraudsters.
Our adoption by merchants around the world provides us with billions of fresh data points each day. Our team of data scientists, analysts, and cyber intelligence specialists continually identify new signals, engineer new features, and research new models. But as the volume of data and the number and complexity of models grows, so do the engineering challenges.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
Youll be part of a highly proficient engineering team that is a focal point for all ML engineering activity, striving to constantly bring innovation and leverage ML capabilities across all company teams and products.
This role presents a unique opportunity to enter the ML domain. For those already experienced in ML infrastructure, it offers the chance to grow within a team that specializes in high-scale, Big Data and ML systems.
What you will be doing:
Designing, building, and maintaining the ML infrastructure that allows our models to make billions of real-time decisions every year.
Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time.
Building distributed data processing pipelines to support model development.
Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
Expanding the pool of internal customers able to use ML. Work with them to understand their needs and help them make the most of the infrastructure that well provide.
Acting as an advocate for MLOps, continually improving our processes, and raising our standards.