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looking for a Sales Operations Analyst to join the ISV EMEA Field Strategy & Operations (FSO) team, based in Tel-Aviv. This is a key role that will support ISV EMEA Sales managers as well as Sales Strategy & Operations leaders on running sales processes, implementing new tools and processes, driving productivity improvements across the ISV sales organisation, and running key strategic initiatives.

As an ISV EMEA Sales Operations Mfr, you will work closely with ISV sales leadership to execute critical business processes including revenue forecasting and planning, territory and coverage optimisation, operational process improvement, and strategic project support. This role combines hands-on analytics with operational excellence, where you'll use data analysis and modelling to support ISV Sales Leaders and their teams across EMEA. You'll play a key role in maintaining business health and driving data-informed decisions across the region by leveraging technical expertise and business acumen to analyse complex datasets from multiple sources and deliver reports that directly impact our decision-making processes.

The ideal candidate will have a passion for analysing large sets of data, identifying trends, and translating insights into actionable recommendations. You should be comfortable working in a fast-paced environment, managing multiple priorities, and communicating findings to both technical and non-technical stakeholders.

Key job responsibilities
Revenue Forecasting & Planning - Support the ISV EMEA revenue forecasting process by analysing trends, identifying risks and opportunities, and ensuring forecast accuracy. Partner with ISV sales managers to validate inputs and drive accountability in the forecasting cadence.

Territory & Coverage Optimisation - Assist in the design and analysis of territory plans, account assignments, and coverage models across EMEA ISV segments, ensuring equitable distribution of opportunity and alignment with strategic priorities.

Operational Process Improvement - Identify and implement process improvements that increase ISV sales team productivity and operational efficiency. Streamline reporting workflows, automate recurring analyses, and champion best practices across the ISV EMEA sales organisation.

Strategic Project Support - Contribute to cross-functional strategic projects that drive business growth across ISV EMEA, including supporting go-to-market plans for new ISV segments or verticals, providing analytical input during account planning cycles to identify whitespace opportunities, building business cases for strategic partnerships, analysing the effectiveness of sales incentive programmes, and supporting organisational design initiatives such as the integration of new geographies or ISV segments into existing structures.

We are looking for a talented Development Engineer to join our team and take part in building innovative software solutions in a dynamic and challenging environment.

Location: Ramat Hachayal, Tel Aviv. Hybrid option once a week.

Key job responsibilities
* Design and implement advanced Design-for-Test (DFT) architectures for complex semiconductor platforms.
* Develop high-quality test and debug patterns ensuring robust performance.
* Conduct comprehensive static timing analysis across multiple DFT modes.
* Verify intricate DFT logic and components with precision and creativity.
* Support silicon bring-up and device diagnostic processes.

Your day will be filled with complex problem-solving and collaborative innovation. You'll work alongside world-class DFT engineers in a dynamic environment, developing semiconductor technologies that support global cloud infrastructure. Our team thrives on creativity, technical excellence, and continuous learning.

we are looking for a Junior Physical Design Engineer.
You'll be joining our Physical Design team , which is at the center of the silicon development . Our engineers deal with all chip design aspects: definition, architecture, micro-architecture, design, verification, signoff and validation.
We use the latest silicon technologies and processes to build the largest scale and most complex devices at the edge of feasibility.

We are looking for talented Software Development Engineers to join our teams in Tel Aviv or Haifa and work on low-level software development. You will be building the foundational software layers that sit closest to the hardware - enabling high performance, reliability, and efficiency for AWS services at an unprecedented scale.

This is an opportunity to work in a deeply technical environment where your code runs on custom-designed silicon, directly impacting the performance and cost of cloud infrastructure used by millions of customers worldwide.

Design, develop, and optimize low-level software including device drivers, firmware, and hardware abstraction layers.

Collaborate closely with hardware design teams to define hardware-software interfaces and bring-up new silicon.

Write performance-critical systems software in C/C++ that operates under strict latency and resource constraints.

Debug complex hardware-software interactions.

Contribute to system architecture decisions and define software design patterns for next-gen chip features.

Develop and maintain automated test frameworks to validate functionality and performance at scale.

Participate in code reviews and drive engineering best practices within the team.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Key job responsibilities
- Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
- Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
- Participate in code reviews and contribute to technical documentation.
- Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
- Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
- Write clean, maintainable code following best practices and design patterns.
- Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
- Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

We are looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

Take part in the development of products within a disruptive system architecture. Youll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the worlds largest cloud provider. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.

Required Software Engineer, ML (Technical Leadership)
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations
Identify and Initiate New Business Opportunities: - Collaborate with our FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

We're looking for exceptional engineers to join our Pre-Silicon Verification team - the team that sits at the very center of the chip development lifecycle. Verification at Annapurna Labs isn't a downstream checkpoint - it's the connective tissue that spans the entire product journey:
It starts at product definition - we engage from day one, shaping requirements and translating product intent into verification strategies before a single line of RTL is written.
It extends into software - we work side-by-side with SW teams, verifying hardware-software interfaces and ensuring seamless integration across the stack.
It reaches into physical design - we verify physical design aspects within functional verification, bridging the gap between logical correctness and silicon reality.
It closes the loop - from spec to silicon, our verification touches every team and every stage of chip development.

Were hiring a Senior Product Manager who moves the needle. Someone who thinks big, challenges assumptions, and brings bold, out-of-the-box features that truly elevate the product. Were looking for a builder who sees the full picture and knows how to turn vision into meaningful impact at scale.

Input comes at you from everywhere: CS, Support, Sales, Marketing, the CEO, the CTO, the data, and above all, customers. Your job is to turn all of it into a prioritized roadmap our ~15-person engineering team ships - and then to own what happens after: adoption, impact, iteration. You'll work directly with the CEO and CTO. [You'll be our first dedicated PM / the senior-most product owner]

Responsibility
Sit with customers - bookkeepers, agency owners, IT providers - map how money really moves through their firms, and turn that into a product.
Run the roadmap: intake from every team, ruthless prioritization, tradeoffs made explicit - including telling the CEO "not this quarter," with reasons. Translate insights and push initiatives forward end-to-end - from idea to release and adoption.
Write specs that engineers respect: enough clarity to build from, enough room to push back on. Maintain and prioritize a dynamic roadmap based on impact, effort, and strategic goals.
Pull your own data, define success metrics before launch, and kill the things that don't work.
Ship AI features in a domain where being wrong has a cost - and design for that: confidence thresholds, review loops, easy undo.

We're on the lookout for an exceptional Backend Engineer to join our team and become a key player in shaping the future of our products and company. This is your chance to be a significant building block at this thrilling and pivotal moment before we soar to even greater heights.

Responsibility
Scope, design, and implement high-performance APIs and services
Collaborate with engineers and product managers to deliver robust solutions in short development iterations
Develop maintainable and clean code with heavy reliance on developer testing
Make thoughtful trade-offs that consider business priorities, user needs, and a sustainable technical foundation

We are seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
AI Research Scientist Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Mentor other team members. Play a significant role in healthy cross-functional collaboration.

We are looking for a junior Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment. Working for Annapurna Labs is thrilling and a constant learning experience. As an embedded SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customers needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As a SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.

Key job responsibilities
We will be conducting a unique onboarding training program, where you will be studying the following with our technical experts and team leaders:
* Embedded systems basics.
* Annapurna technologies in EC2.
* Cloud compute development.
* Networking 101.

Our Fundamental AI Research (FAIR) organization is seeking a Research Engineer to drive advancements in generative models. The role involves working across the full spectrum of research, engineering, and optimization for frontier model efforts.
Research Engineer, Fundamental AI Research (FAIR) - Generative Models/LLM Acceleration Responsibilities
Innovate, lead, and execute pioneering algorithmic research to push the state-of-the-art in generative models and LLM performance
Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
Collaborate with cross-functional teams (research, product, infra) to build new and advance LLM optimization
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Lead initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Take a significant role in components, features, or systems with good end-to-end understanding
Contribute to publications, open-sourcing initiatives, and mentor other team members.

Were looking for a Senior Backend Engineer whos eager to become one of our core team members and establish themselves as a significant building block of our products and company at this exciting and critical point in time before we reach greater heights.

Responsibility
Research, design, and implement high-performance resilient APIs and services
Contribute to a positive and collaborative team environment by sharing your knowledge and expertise
Collaborate with engineers and product managers to deliver robust solutions in short development iterations
Develop maintainable and clean code with heavy reliance on developer testing
Make thoughtful trade-offs based on business priorities, user needs, and a sustainable technical foundation