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Required Senior Analyst, Market Delivery
Job Overview:
Customer Delivery Europe is in the centre of the Europe organization and the key contact between the Divisions, Operations and Technology, Global Products & Solutions and the other business units. We are close to the markets and to our customers.
Market Delivery Managers lead end-to-end project and program management for complex customer onboarding journeys, ensuring seamless integration from business impact to technical execution. They act as strategic consultants and technology relationship managers, guiding customers through operational changes, resolving technical issues, and coordinating with our subject matter experts. Their role also includes supporting TAM services, driving cross-functional collaboration, and enhancing delivery performance across local markets and key accounts.
Role:
Deliver standard projects and/or products flawlessly with high customer satisfaction
Handle medium to large customers with standard or moderately complex project scopes.
Manage basic customer escalations and non-complex operational/technical issues with support from manager or peers.
Handle PMO roles for customers and coordinate with stakeholders.

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience.
Our Technical Account Managers are trusted advisors and consult our customers upon their monitoring, security & observability journey. This role embodies the critical intersection of very high technical expertise and a focus on customer satisfaction, renewal and expansion.
Technical Account Managers are senior-level roles and are expected to professionally and accurately solve problems, show product value and interact across different platforms and types of software, from software engineers and DevOps all the way to the C-suite.
Responsibilities:
Solve customers technical problems by adopting the platform, integrating new data and existing integrations
Understanding customers technical requirements and business goals to consistently create new artifacts and deliver value
Lead the onboarding process, from new integrations, creation of artifacts to trainings and troubleshooting
Know the Log Management / Observability markets well and be able to help customers by using the best technical practices available
Build a successful and ongoing game plan for each customer based on a specific data analysis and customers needs
Establishing relationships and engaging with technical counterparts to drive product adoption
Conduct QBRs with customers to consistently reflect delivered value and ensure customers needs
Advocate internally for customer needs within and influence a product development roadmap
Partner with the Sales team on renewals, upsells, cross-sells, and expansion opportunities

As a Senior Full Stack Engineer in our Payments Team, you'll design, develop, and maintain mission-critical payment processing solutions. You'll work closely with cross-functional teams to deliver reliable, scalable payment systems that power our core business.
Responsibilities
Own the full development lifecycle from architecture to deployment, with emphasis on backend systems
Design and implement high-performance RESTful APIs for internal and external integrations
Optimize backend infrastructure for low latency, high availability, and reliability
Provide technical mentorship to developers and contribute to code reviews
Work with product managers and stakeholders to deliver features in an Agile environment
Identify and resolve performance bottlenecks and bugs in production systems
Drive technical strategy and architectural decisions

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

We are looking for a Backend Engineer to join a growing team!
Our Stack:
Node.js
Scala
Kafka Streams / Akka Streams
Spark
Kafka
ElasticSearch, Redis
Kubernetes
AWS
SQL
What You'll Do:
End-to-end development and ownership of our products and features, from design to scalable and predictable production behavior.
Solve diverse complex problems of high scale
Collaborate with other engineers and product managers in order to improve our products
Review code, architecture, and data to identify and troubleshoot problems

With over a million monthly downloads and hundreds of thousands of daily learners around the world, were reinventing the way we spend our time at home.
What Senior Software Engineers do at our company:
In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

We are building a centralized intelligence system for the entire organization - a system that collects, consolidates, and analyzes all organizational data, and actively drives business workflows and decision-making.
This role exists to take that system to the next level.
As the Lead Organizational Intelligence Engineer, you will own the evolution of an internal platform that already influences how decisions are made across the company - and turn it into a foundational capability that fundamentally reshapes how the organization operates. Youll work end-to-end: from data ingestion and modeling, through analytics and AI-driven insights, all the way to decision workflows used by executives, R&D, product, and go-to-market teams.
You will operate as a senior individual contributor with broad organizational influence, while laying the technical and product foundations for a future team.
What Youll Do:
Own the architecture and implementation of a company-wide organizational intelligence system, end-to-end
Design and build data pipelines that ingest and unify data from across the organization and into our own platform
Define and evolve data models and semantic layers that create a shared, consistent language across teams and domains
Build advanced analytics and insight mechanisms that move beyond dashboards into decision-enabling workflows
Work directly with company executives to co-define requirements, identify blind spots, and translate strategic questions into systems and capabilities
Apply a product-driven mindset: deciding not just how to build, but increasingly what should be built and why
Leverage frontier AI tooling and agent-based workflows to accelerate development, improve system quality, and expand whats possible
Write and own production-grade code, setting a high bar for quality, reliability, and scalability
Influence technical and organizational workflows across the company to enable deeper intelligence and better decisions
Lay the groundwork for future externalization of these capabilities into customer-facing products

Required Field Application Engineer - AI Accelerators
In this position:
You will serve as the primary technical interface between us and our customers for our AI accelerator product line and future accelerator platforms. You will support customers through the full product lifecycle - from pre-sale technical engagement and proof-of-concept development through production deployment and ongoing field support. You will work hand-in-hand with R&D to investigate and resolve complex issues, develop reference applications and demos, and act as a trusted technical advisor to both customers and internal teams.
Responsibilities
Develop a comprehensive understanding of each customers use case, system architecture, and integration requirements, serving as their primary technical point of contact for all accelerator-related topics.
Provide deep technical support across the accelerator portfolio, including the Dataflow Compiler, model compilation, and runtime integration.
Reproduce, investigate, and drive resolution of complex hardware and software issues in close collaboration with R&D, spanning PCIe integration, driver-level debugging, inference pipeline optimization, and power management.
Lead technical alignment with customers - clearly communicating issue status, setting expectations, coordinating across internal teams, and ensuring customer satisfaction.
Design and implement customer-facing demo and reference applications in C/C++, showcasing accelerator capabilities at major industry events such as CES and other trade shows.
Support pre-sale technical activities including solution scoping, feasibility assessments, and technical presentations to prospective customers.
Provide knowledge transfer and technical enablement to FAEs and partners to scale field support effectiveness.
Collaborate closely with R&D, Product, and Business teams to translate customer needs into actionable product requirements and roadmap input.

Required Embedded User Space Engineer
Description
We are a leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position:
As a team member in our Media Pipeline team, you will be responsible for developing a C++ open-source framework and applications for our top-of-the-line AI-Vision processor. You will be working on a production-grade framework that enables Vision pipelines for our customers in multiple industries, such as security, automotive, retail and more.
If you are passionate about working with a large-scale SW and youre excited about AI, we want to meet you!
In this role, you will have a direct impact on our products.
Responsibilities
Help build and develop our best-in-class Edge AI SoC, developing an open-source, production-grade framework for the media pipeline
Work in different SW environments: C++, Python, C
Work closely with Software architects and the Machine Learning group, integrating and debugging complex software systems while taking into account challenging requirements as part of managing a large-scale embedded system.

We are looking for a Principal Architect who combines deep technical mastery with product sensibility, business understanding, and organizational insight. This is a senior individual-contributor role with broad influence and high visibility across engineering, product, and leadership.
You will shape the architecture of our platform across multiple domains, drive strategic technical decisions, and partner with cross-functional leaders to align architectural direction with product, business, and organizational goals.
You are not just a technologist - you are a systems thinker who understands how technology enables outcomes, how teams and organizations scale, and how product strategy and technical strategy intersect.

Required CI and Automation Engineer
About the position
As a CI and Automation Engineer leading our Release efforts, you will bridge the gap between pure DevOps/Automation and the final delivery of our AI software stack. You wont just be building pipelines; you will be the technical owner of the release cycle, architecting the automation and branching strategies that ensure our firmware and software are production-ready.
You will act as the Technical Gatekeeper, using your deep-dive coding skills in Python and Bash to build the infrastructure of trust that powers our releases. This role is for a hands-on engineer who wants the strategic responsibility of making the Go/No-Go call based on the very automation they have built. If you are passionate about CI/CD excellence and want to see your code directly impact the delivery of world-class AI hardware, this is the role for you.
Responsibilities:
Release Ownership: Lead the technical execution of release cycles, acting as the primary authority and Gatekeeper for software and firmware delivery.
CI/CD Engineering: Design, implement, and maintain robust CI pipelines (e.g., Jenkins, Bitbucket) tailored for release stability and automated validation.
Hands-on Automation: Develop and maintain tools and scripts (Python, Bash) to automate the entire release flow-from versioning and branching to automated reporting.
Technical Triage: Deep-dive into build failures and integration issues. Analyze logs and code changes to make data-driven Go/No-Go decisions.
Branching Strategy: Define and manage complex Git strategies to ensure smooth integration across multiple versions and hardware targets.
Visibility & Reporting: Provide real-time visibility into release health and quality metrics through dashboards and automated status reports.

We bring people together in immersive, face-to-face experiences like never before.
Join a team of passionate, creative developers working on products that push the boundaries of the gaming industry.
*We work on site- not hybrid (located in Tel-Aviv)*
Responsibilities
Design, plan, and implement clean, scalable, high-performance features from specification to production
Take full ownership of features-from concept and architecture to delivery and live operations
Collaborate closely with backend, tech art, QA, product, data, and other cross-functional teams
Continuously improve code quality, performance, and development workflows
Maintain and evolve existing systems, including refactoring and optimization
Conduct code reviews and contribute to internal best practices and Unity knowledge sharing

Required Application Engineer
Description
In this position, you will engage in pre-sale technical activities while supporting our existing customers.
You will respond to technical inquiries, reproduce and investigate complex issues across a wide range of domains in close collaboration with the R&D team, and drive effective resolutions. You will design and implement customer-facing demo and reference applications in C++, develop AI applications that showcase our products capabilities at major industry events such as CES and other trade shows, and provide knowledge transfer to our FAEs to strengthen field enablement and customer success.
Responsibilities
Understand the customers technical use case for our technology and the customers system comprehensively.
Develop a comprehensive understanding of each customers technical use case and system architecture, leveraging this knowledge to effectively support R&D in analyzing and resolving issues.
Serve as a subject matter expert on our VPU product, maintaining deep knowledge of product features and the roadmap in order to support FAEs and Tier-1 customers.
Lead technical alignment processes with customers by clearly communicating status, addressing questions and requests, and coordinating responsibilities across the company.
Master our technical messaging to effectively support business development and sales activities.
Design and implement demo applications when needed and occasionally participate onsite in customer demos or engagements.
Collaborate closely with R&D, Product, and Business teams to achieve key business milestones and drive new product requirements based on customer needs.
We are passionate about building an inclusive and equitable working environment.
We promote a flexible work environment that encourages work-life balance.
If you dont meet 100% of the requirements- no worries!

we are seeking a Senior Infrastructure Engineer to join our Core SRE team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
The Core SRE team is responsible for the foundational infrastructure that powers :
Kubernetes Infrastructure: Managing over 10,000 nodes across multiple cloud providers and regions. our production is 100% Kubrenetes based
Kafka Clusters: Maintaining critical, large-scale Kafka clusters processing billions of events per second.
Automation & Operators: Building and maintaining both open-source and custom Kubernetes operators to manage complex stateful workloads like Kafka. Our tech stack is constantly evolving. It includes: Kubernetes, Go (Golang), AWS, GCP, Kafka, Istio, and more.
Responsibilities:
Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

Required Accelerator - Application Engineer
Description
A leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position
In this role, you would work very closely with both customers and internal teams. On the technical side, you would build demos and reference applications in C++, Python, and GStreamer, helping showcase and enable different AI use cases, including vision AI and generative AI.
You would also support customers as they evaluate and deploy our technology, helping them optimize models, integrate with our accelerator stack, and troubleshoot issues. Internally, the role acts as a bridge between customers, R&D, product, and business teams to make sure technical requirements and feedback are clearly communicated.
Responsibilities
Design and develop end-to-end demo and reference applications in C++, Python, and GStreamer for Vision AI and GenAI use cases.
Own deep technical expertise across the accelerator stack, including Dataflow Compiler, runtime, model quantization, performance optimization, and roadmap direction.
Support deployment and optimization of deep learning models, including transformer-based and generative models.
Lead technical alignment processes with customers from evaluation through deployment.
Act as primary technical focal point for selected strategic accounts.
Provide structured and high-quality pre-sales and post-sales technical support.
Drive issue resolution across Customer Success and R&D, ensuring clear ownership and follow-up.
Translate business needs into technical requirements and collaborate with Product to influence roadmap decisions.
Ensure excellent response time and support quality for customer escalations.
Define best practices, documentation, and internal workflows for application engineering.