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Were looking for an experienced AI Project Manager to lead and coordinate cross-functional projects within our AI Group. You will partner with research, data science, and product leaders to translate strategy into action, managing timelines, dependencies, and priorities for our most advanced AI initiatives.
Responsibilities
Lead the planning, execution, and delivery of multiple AI projects across research and production teams.
Partner with AI scientists, ML engineers, and product stakeholders to define goals, success metrics, and execution plans.
Establish and maintain clear project roadmaps, ensuring alignment with the AI Groups strategic priorities.
Manage communication across technical and non-technical stakeholders, providing visibility into progress and blockers.
Drive agile processes within AI teams to support experimentation, iteration, and scalable delivery.
Identify and mitigate project risks, ensuring smooth collaboration across research, data, and engineering functions.
Promote a culture of technical rigor, transparency, and innovation within the AI Group.

Required MLOps Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads.

Required ML Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design and optimize LLM serving infrastructure using inference engines (vLLM, TensorRT-LLM, Triton Inference Server)
Implement and tune distributed inference strategies including tensor parallelism, pipeline parallelism, and multi-node serving
Develop and apply model compression techniques to optimize cost, latency, and memory footprint while maintaining model quality
Build self-service fine-tuning platforms that enable data scientists to run experiments (LoRA, QLoRA, full fine-tuning) in a standardized, reproducible, and governed manner
Optimize inference performance through batching strategies, KV-cache tuning, and speculative decoding
Develop reusable APIs, abstractions, and platform services for model deployment, scaling, and lifecycle management
Collaborate with AI researchers and product teams to productionize models and meet latency/throughput requirements
Evaluate and benchmark new model architectures, compression methods, and serving frameworks.

Required Data Engineer - AI Infra Group
Tel Aviv Full-time
The Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world data platforms. You'll architect and ship our streaming lake-house and data platform, turning billions of raw threat signals into high-impact, self-serve insights that protect countries in real time all while building on top-of-the-line technologies, such as Iceberg, Flink, Paimon, Fluss, LanceDB, ClickHouse and more.
Responsibilities
Design and maintain agentic data pipelines that adapt dynamically to new sources, schemas, and AI-driven tasks
Build self-serve data systems that allow teams to explore, transform, and analyze data with minimal engineering effort
Develop modular, event-based pipelines across AWS environments, combining cloud flexibility with custom open frameworks
Automate ingestion, enrichment, and fusion of cybersecurity data including logs, configs, and CTI streams
Collaborate closely with AI engineers and researchers to operationalize LLM and agent pipelines within the CLM ecosystem
Implement observability, lineage, and data validation to ensure reliability and traceability
Scale systems to handle complex, high-volume data while maintaining adaptability and performance
Own the data layer end-to-end including architecture, documentation, and governance.

Required AI/ML Engineer AI Foundations Group
Tel Aviv Full-time
About The Position
Our AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
Our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI systems and ML pipelines to join our AI group. You'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. Youll work closely with data scientists to translate research into scalable solutions and manage model deployment in both cloud and on-prem GPU environments.
Responsibilities
Design, build, and deploy production-grade ML models, AI agents, and end-to-end pipelines across cloud and on-prem GPU environments.
Maintain and optimize ML systems for performance, scalability and reliability, including model validation, inference speed, and resource efficiency.
Develop monitoring and observability tools such as alerts and performance metrics to ensure system stability in production.
Create and integrate APIs for ML services within microservice-based architectures.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.

Join our GPU Hardware Verification team in Raanana, Israel, and help shape the future of the worlds most widely deployed GPU architecture Mali. As a Principal Verification Lead Engineer, youll guide the technical direction for complex GPU verification programs, mentor talented engineers, and influence methodologies that set the standard for our next-generation graphics processors. Your work will make a visible impact across multiple projects, ensuring that our technology continues to deliver outstanding performance and quality for millions of users worldwide.

What Youll Do:
Define and lead verification strategies for sophisticated GPU systems.
Shape and evolve verification methods and frameworks to improve coverage, scalability, and efficiency.
Anticipate challenges and design practical, forward-thinking solutions that help multiple teams succeed.
Lead the Technical Vision:
Take full ownership of end-to-end verificationplanning, execution, and deliveryfor advanced GPU components and subsystems.
Apply advanced techniques such as coverage-driven, random, and formal verification.
Be responsible for verification reviews, sign-offs, and integration of block-level and system-level environments.
Collaborate and Influence
Act as the primary technical contact across Architecture, Design, and Product teams.
Coach and mentor engineers, helping them grow their skills and confidence.
Chip in to continuous improvement in our verification tools, flows, and CI systems.
Innovate with Purpose:
Bring creativity and technical excellence to how we verify hardware.
Drive automation and efficiency through scripting and next-generation verification tools.
Represent our leadership in verification internally and externally.

Fiverr is seeking a strategic, execution-driven, and AI-native Program Manager to lead and scale a growing service within Fiverr Managed Services. This is a high-impact role for someone who thrives on ownership, autonomy, and innovation — a true doer who knows how to learn fast, experiment fearlessly, and drive meaningful results. You’ll take end-to-end responsibility for building and optimizing processes, identifying opportunities for scale, and driving sustainable growth. Working closely with Product, Marketing, CSM, Data, and Sales Ops, you will play a key role in preparing the service for its next stage of scale — ensuring efficiency, impact, and continuous improvement.

What am I going to do?:
Lead cross-functional growth initiatives: Partner with Product, Marketing, CSM, and Sales to design GTM strategies, create entry points, and execute campaigns that drive awareness and acquisition. Own business performance & growth metrics: Define and track KPIs, monitor conversion and retention rates, and lead initiatives that improve funnel health and overall business results. Build and scale operational infrastructure: Design efficient, AI-enabled workflows, solve cross-functional challenges, and continuously optimize processes through automation and smart systems. Manage strategic projects from planning to execution: Oversee end-to-end delivery of key initiatives, leveraging AI tools and automation to streamline execution, ensure alignment, and maximize impact across teams. Own the program end-to-end: Use data and AI automation to monitor performance (HubSpot, Salesforce, Tableau), surface actionable insights, and translate them into strategic and operational improvements.

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.