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Were looking for an experienced Product Manager to join our Web Shop group. Our Web Shop is a strategic e-commerce platform that serves as a premium destination for our players, offering exclusive content and advanced loyalty rewards. We are looking for a professional with a high-ownership mentality who is data-driven, execution-oriented, and thrives in a high-scale, collaborative environment. As a Product Manager, youll lead the product lifecycle within our web shop ecosystem and make a direct impact on millions of players worldwide.
Responsibilities
Lead the success and growth of the Web Shop by developing a product vision, strategy, roadmap and lifecycle management framework and seek opportunities for key initiatives to improve the customer experience.
Gather and analyze requirements, write clear and detailed PRDs, UI/UX flows, wireframes, define A/B tests and user stories, prioritize backlogs and handle development/engineering.
Own the success of the feature once its released to production by running tests and optimizing performance and business results.
Collaborate with relevant cross-functional teams (R&D, Design, BI/BA, etc) to guarantee a smooth and efficient implementation.

We're looking for a Data Scientist to join our fast-growing Data Science team focused on AI-first features. This role sits at the core of how personalizes the sales experience, designing and deploying end-to-end ML models that move real business metrics. You'll collaborate closely with ML engineers, product managers, and data engineers, and join weekly sessions where the team shares research, tests new ideas, and learns together.
Hands-on experience using AI development tools such as Cursor or Claude Code is a must for this role.
we're building for builders. We build fast and AI-first, so we look for builders. By a builder, we mean someone who turns "maybe" into "done".
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.

we are looking for a Senior Software Engineer - Integrations - AI/ML.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation as a vector store, ML feature stores, and LLM-powered data applications.

we are looking for a Senior Full Stack Software Engineer.
As a Senior Full-Stack Engineer, youll design and build complex, data-heavy user interfaces and own customer-facing workflows end-to-end. While this role has a strong frontend focus, engineers are expected to work comfortably across the whole stack, collaborating on backend services, APIs, and system integrations as needed. Were looking for T-shaped engineers who bring deep frontend expertise while remaining pragmatic and effective beyond UI tasks.
What will you do?
Build scalable UI systems that handle large datasets, async operations, and real-time state changes
Own features end-to-end, from initial design through production launch and long-term maintenance
Collaborate closely with product, design, and other engineering teams to deliver new features
Partner on API design and system contracts
Participate in an on-call rotation to support ClickPipes in production, helping diagnose incidents, and mitigate issues
Take ownership of production quality, including monitoring, debugging, performance tuning, and reliability improvements

We are seeking a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software.

Growth & Innovation: Benefit from AWSs resources, mentorship programs, and opportunities to publish technical content.

Were searching for sharp engineers to lead cutting edge products, re:inventing super computers and deploy our new EFA (Elastic Fabric Adapter) network protocol into the largest public cloud on the planet! starting from the identification and definition of project requirement, defining SW and HW interfaces, feature development and deployment, to operation support on a very large scale.

As a Technical Account Manager (TAM) in AWS Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs
- Champion and advocate for your customers by connecting their feedback to AWS engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.

Take the lead in unlocking growth potential for both new and existing customers. As a Demand Generation Representative you will be part of shaping the future of how technology is deployed for our customers. The Amazon Web Services cloud platform helps companies of all sizes transform and reinvent their businesses to meet the needs of their customers and communities around the world. From enabling rapid and individually customized cancer treatments to helping Fortune 500 companies meet their carbon emissions goals, the technology stack is the backbone of some of the most innovative solutions to the Worlds most pressing problems. According to Gartner, we are the leading cloud provider, both in terms of ability to execute and completeness of vision. With only 5% of all IT spend in the cloud, we are still in the early stages of what is possible.

Shape the future of how technology is deployed for our customers. Amazon Web Services is growing our Cloud Sales Center (CSC) team to help more companies make the move to us. If you are passionate about cloud technology, sales, and driving meaningful impact to a wide variety of customers, we could be the right fit for your next career move. we offer an innovative environment where you can advance your career through our growing sales organization on a learning and earning path.

Key job responsibilities
* Work with other sales team members to ensure the opportunity is understood and next steps are clearly defined via demonstrations, discovery, and qualification.
* Utilize product knowledge and internal resources that will help you leverage technical skillsets to meet customers needs.
* Achieve all input and output goals including: contacts sourced, leads qualified, customer calls complete, customer meetings, and opportunities created.
* Drive net new business via customer acquisition by leveraging one-to-many and one-to-one outbound campaigns in addition to qualifying inbound opportunities from marketing and partner channels.
* Expand services breadth and consumption within your existing customer base via account planning and territory management.
* Accurately track activity and develop pipeline using a CRM (Salesforce), with the ability to leverage self-service reporting tools.
* Innovate new and creative ways to engage with new customers and expand on existing customer relationships.
* Understand the technology footprint, technical challenges, and business objectives that each one of your customers faces.

We are looking for a Nitro System Manufacturing Integration Lead Engineer to be part of defining, shaping, and implementing manufacturing flows, test definitions, and card-to-server integration processes for Nitro-based platforms. This includes to be part of the manufacturing flow architecture, production test strategy, process stabilization, and yield optimization bridging system design intent with high-volume manufacturing execution.

Key job responsibilities
As a System Manufacturing Integration Lead Engineer, in the Nitro team, you will own the end-to-end manufacturing flows for accelerator card-to-server integration across manufacturing partner facilities driving the process from initial definition through stabilization into a scalable, high-yield mass production operation.

Key responsibilities include:
- Architect manufacturing flows - be part of the complete card-to-server integration sequence, including every process step, quality gate, and decision point from sub-assembly through system integration and tests.
- Define test strategy - be part of determining what to test, when, and at which station, covering card-level functional tests, post-integration validation, firmware provisioning, and first power-up diagnostics.
- Establish classification criteria - be part of determining pass/fail thresholds and test exit gates to maximize yield and minimize material waste.
- Drive process stabilization - work directly and on-site with manufacturing partners to implement, debug, and iterate on manufacturing flows from early builds through a locked, repeatable production process.
- Design alternative flows - develop parallel manufacturing paths to address real-world constraints such as component availability gaps, deferred card integration, and hub-based assembly models.
- Own process documentation & KPIs - maintain manufacturing flow baselines, drive process change control, and track yield, first-pass rate, cycle time, and defect Pareto.
- Lead cross-functional coordination - serve as the single point of ownership across hardware engineering, firmware, test/vetting, thermal, mechanical, and operations teams for Nitro-based accelerator servers built at scale.

Were searching for a Lab Technion Student who will be responsible for the installation, configuration, maintenance, and troubleshooting of our Linux-based server infrastructure, as well as managing various network services and components.

Student will have at least 4 semesters remaining in their degree. The ideal candidate will posses a strong passion for learning new things and the ability to quickly put that new knowledge and skills into practice. You will have the ability to perform basic troubleshooting for hardware, software, and networking issues without guidance.

We are building the first Neuron performance engineering team in Tel Aviv. As a Machine Learning Performance Engineer, you'll help shape the direction of this team from the ground up - profiling and optimizing workloads across the full ML software stack, writing high-performance kernels, and improving the Neuron SDK that external developers depend on. You'll work at the boundary between software and hardware, collaborating directly with compiler, runtime, and chip design engineers to close performance gaps customers care about.

The team is new and small, which means broad scope, direct ownership, and real influence over the technical direction we take. If you enjoy digging into performance bottlenecks and turning analysis into measurable wins, this role is for you.

Key job responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models.
Profile ML workloads end-to-end to identify bottlenecks - memory, compute, or communication - and drive optimizations through to a measured improvement.
Enhance the programming model and tooling that kernel and model developers rely on, improving usability and debugging workflows.
Identify and drive optimization opportunities across the Neuron software stack (compiler, runtime, frameworks).
Document software designs, operational runbooks, and performance findings so the broader team can build on your work.

A day in the life
You might start your morning reviewing profiling data from a customer's large diffusion model training job, tracing a utilization gap back to a specific kernel. After a design discussion with compiler engineers about a new operator fusion strategy, you spend the afternoon writing and benchmarking a kernel prototype. Later, you review a teammate's pull request for a runtime optimization and share your findings in a short write-up for the broader Neuron organization. Your work directly translates into faster model execution and lower cost for AWS customers running ML workloads at scale.

We are seeking a Project Management Team Lead to lead, mentor, and scale a high-performing team of Project Managers. In this strategic role, you will transition our organization from managing individual projects to optimizing our entire Professional Services portfolio - overseeing rigorous delivery governance, balancing long-term resource capacity, and ensuring expected revenue is realized on time. Combining a sharp commercial mindset with hands-on leadership, you will serve as both a strategic pipeline builder and a critical escalation partner, turning high-stakes client challenges into profitable, long-term relationships.
Responsibilities
Lead & Scale: Mentor a high-performing PM team delivering complex, large-scale solutions across diverse market segments (from startups to global enterprises).
Remove Impediments: Act as the ultimate escalation point and catalyst for the team, proactively clearing roadblocks and driving continuous efficiency improvements.
Optimize the Pipeline: Shift the organization from managing individual projects to strategically executing the entire Professional Services portfolio.
Capacity & Revenue Planning: Balance and forecast resource capacity through to project completion to ensure expected PS revenue is realized on time.
Standardize Execution: Establish rigorous delivery governance, ensuring projects strictly adhere to scope, timeline, budget, quality, and technical requirements.
Cross-Functional Alignment: Partner internally with Sales, Customer Success, and Delivery, as well as external technology partners, to ensure seamless project and support execution.
Crisis Resolution: Step into high-stakes client escalations hands-on, using a commercial mindset to rebuild trust and protect long-term partnerships.
Reporting & Risk Mitigation: Lead project review sessions and produce regular progress reports, proactively communicating forecasted risks to internal teams and client decision-makers.