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At our company, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, Machine Learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 250 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence. We are seeking an experienced R&D Project Manager to join our Tel Aviv Office and drive cross-functional execution across our R&D organization. In this role, youll partner closely with R&D leadership and management, lead complex initiatives across multiple teams, and ensure projects are delivered on time, within scope, and with clear visibility. Youll also own key infrastructure and FinOps initiatives, and work day-to-day with the VP R&D, including building leadership-ready updates and presentations.
A day in the life and how youll make an impact:
* Lead end-to-end delivery of cross-R&D programs: planning, execution, dependency management, and delivery tracking.
* Partner with R&D managers and team leads to define scope, timelines, milestones, resources, and success metrics.
* Drive infrastructure projects (e.g., internal platforms, tooling, dev productivity, cloud enablement) in collaboration with Engineering, DevOps, Security, Product Management and IT.
* Own and coordinate FinOps initiatives: cloud cost visibility, optimization efforts, forecasting, and governance alongside finance and engineering stakeholders.
* Establish and continuously improve project management practices across R&D (cadences, templates, status reporting, risk management, retrospectives).
* Identify risks, blockers, and cross-team dependencies early; proactively propose solutions and align stakeholders.
* Build and present clear, concise updates for leadership: executive summaries, roadmap views, KPIs, and decision points.
* Facilitate R&D planning cycles and operational rhythms (weekly leadership syncs, program reviews, quarterly planning, etc.).

we are a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, our company enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, our company provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. We are seeking a passionate and data Scientist to join our dynamic team. This role is ideal for someone who is product-oriented, thrives in a fast-paced environment, and is focused on delivering tangible value to our users. The ideal candidate will bring a blend of technical expertise, creativity, and a love for music and art to our team. Wake up for this:
* Design, develop, and deploy Machine Learning algorithms from inception to production, leveraging machine and deep learning frameworks
* Build tools and infrastructure for the team, mentor team members
* Work collaboratively with product managers to define problems, identify solutions, and iterate on feedback to refine those solutions.
* Deliver end-to-end Machine Learning -based features at a rapid pace, ensuring high-quality and impactful user experiences.
* Engage in research and application of cutting-edge technologies, including Multimodal models, and large language models (LLMs), to drive innovation within our platform.
* Contribute to developing recommender systems and search functionalities, enhancing user engagement and satisfaction.

we are a global leader in hybrid control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software offer a groundbreaking approach to controlling quantum computers, scaling from individual qubits to arrays of thousands.
At the heart of our company is a passionate, ambitious team committed to transforming the construction and operation of quantum computers. Our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
We are looking for a highly experienced a hands-on Software Infrastructure Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Creating innovative infrastructure to help with modernizing coding, processes, and workflows.
Drive adoption of AI capabilities across chip design, verification and software teams.
Partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
Design and maintain multi-language code generation systems.
Evaluate and integrate new technologies to enhance developer workflows.

we are a global leader in control systems for quantum computing-a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach to quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Were seeking a Software System Engineer to ensure seamless operation and integration of our complex, multidisciplinary system. This role spans multiple software domains and interfaces with hardware, logic, and validation teams. Youll act as a technical leader, driving design and implementation of system-wide features, resolving intricate integration challenges, and building infrastructure that accelerates development across the Software group.
Youll thrive here if you love working on large-scale, multi-threaded systems, solving cross-disciplinary problems, and building robust, production-quality solutions for cutting-edge quantum computing products.
Responsibilities
System Integration & Technical Leadership
Ensure proper operation and integration of all software components and their interfaces with logic and validation modules.
Lead design and implementation of multidisciplinary features, balancing performance, reliability, and maintainability.
Investigate and resolve complex system-wide issues and bugs across multiple teams.
Infrastructure & Tooling
Develop and maintain internal tools and infrastructure to enhance development efficiency and integration readiness.
Build profiling, debugging, and automation frameworks to support high-quality delivery.
Cross-Team Collaboration
Key stakeholder in the definition of interface contracts (APIs, protocols, timing/resource constraints) across software and hardware boundaries.
Drive integration plans, dry runs, and troubleshooting for system-wide features.
Quality & Execution Excellence
Champion clean architecture, code reviews, automated testing, and CI/CD best practices.
Ensure documentation (design specs, interface definitions, runbooks) is complete and up-to-date.

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.

What you'll do:
Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.

Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.

Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).

Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.

Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.

Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.

Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

as a Software Engineer will be critical to the companys success. You will build a strong and robust infrastructure integrated with the platform to acquire security insights. You and the team will design, develop and maintain out-of-the-box modules, algorithms and extensions while working with highly talented engineers.



What you'll do:
Design and build high-performance and distributed infrastructure for search and pipeline products
Integrate with the platform and be a key player in its design and development
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions
Work closely with product and other R&D teams
Help with solving complex customer issues with our solutions and platform

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
Work as a key member of t.

We seek an experienced and highly skilled Senior Engineer to join our Data Platform Team. This is an exciting opportunity to work on cutting-edge technologies, drive innovation, and play a key role in designing and implementing the companys data infrastructure and architecture.
What you'll do:

Database Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve database infrastructure, including PostgreSQL, MongoDB, SingleStore, and AWS Aurora.


Big Data Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve big data infrastructure, including cloud-agnostic data lakehouse, distributed databases, and platform-powered data pipelines.


End-to-End Ownership - Take responsibility for the entire lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).


Architecture Leadership: Collaborate with the Architecture group to define and maintain the companys core architectural vision.


Partner with development teams, providing technical guidance, best practices, and support from the design phase to production deployment.


Innovation and Exploration - Work on diverse and impactful projects across different layers of the tech stack, exploring new technologies and approaches to improve reliability, efficiency, and scalability.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact.

We are looking for a Frontend Architect to lead the evolution of engineering foundations - across both frontend and backend domains.

This role blends technical leadership, team management, and strategic impact. Youll guide a multidisciplinary team responsible for developer experience, infrastructure, and governance across the R&D organization.

The teams mission is to increase developer velocity, ensure product quality, and strengthen engineering consistency across all products - from web applications to backend microservices.

While the team spans both domains, we are looking for someone that has a stronger orientation toward frontend and web infrastructure - UI frameworks, build systems, shared component libraries, and developer tooling.
What Youll Do
Technical & Strategic Leadership
Define and own the vision and roadmap for development platform, including web, backend, and AI-enablement initiatives.

Partner with engineering leadership, architects, and product teams to remove friction and increase velocity across R&D.

Establish and govern engineering standards, testing practices, and secure development workflows.

Lead the evolution of our shared frameworks, build systems, and developer tools for scalability and security.

Frontend & Web Infrastructure
Own and evolve the UI development ecosystem, including build systems, testing frameworks, and local development experiences.

Govern our shared UI kit and design system, ensuring consistency, accessibility, and performance across all products.

Partner with UX and product engineers to create a cohesive, maintainable frontend foundation.

Backend & Microservices Infrastructure

Oversee and guide the microservices development framework, templates, and communication patterns.

Optimize monorepo builds, CI/CD pipelines, and runtime standards for efficiency, reliability, and observability.

Implement infrastructure-level protections that improve product quality and prevent regressions.

AI Enablement Across R&D

Champion and integrate AI-assisted development tools (code generation, code review, testing, documentation).

Define patterns and best practices for AI-driven workflows, enabling teams to move faster with higher quality.

Partner with data, DevOps, and product teams to explore how AI can optimize engineering processes and infrastructure.

People & Collaboration

Lead, mentor, and grow a cross-functional team of backend, frontend, and platform engineers.

Foster a culture of technical excellence, innovation, and continuous improvement.

Collaborate closely with Product, UX, Security, and DevOps leaders to align strategy and execution.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

As a Product Manager , youll own the entire product lifecycle, from innovation and design to execution. Youll serve as the strategic bridge between R&D and our cross-functional partners in Sales, Marketing, and Customer Success, ensuring our product vision translates into market-leading impact and solidifies our position as the industry leader.



What you'll do
Own the Product Lifecycle: Own your domain from initial ideation, through product development, to launch, and customer adoption. Youll act as the "CEO of your domain" ensuring every feature is built and delivered with highest quality and value to customers.
Translate Strategy into Roadmap and Backlog: Turn high-level business goals into concrete, actionable roadmaps and prioritized backlogs. Youll account for market requirements and competitive positioning, manage trade-offs and define the backlog that reflects business goals.
Partner Closely with R&D: Work closely with research and engineering teams to deliver features effectively and efficiently.
Direct Customer Validation: Proactively engage with customers and relevant stakeholders to validate planned scope and drive UX improvements throughout the product life cycle.
Drive Market Alignment & Success: Define and analyze metrics to measure product success, and work alongside Pre and Post-sales teams to ensure customer satisfaction.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

We are looking for a talented, ambitious Product Manager to join our team driving core product and capabilities.

As a product manager you will innovate, design, execute, lead your product and be the focal point of all product-related issues, inbound and outbound, bridging between R&D and various stakeholders in the company: sales and presales, customer success, operations, marketing among others.

Our OT/IoT Security Product Manager will lead cross-product features influencing and improving the core capabilities.


What you will do
Own your domain from ideation through product development to launch and adoption by customers.
Prioritize, manage trade-offs, and define product backlog that reflects business goals.
Work closely with research and engineering teams to deliver features effectively and efficiently.
Create detailed specifications and ensure execution of plan
Proactively engage customers and relevant stakeholders to validate planned scope and definitions throughout the product life cycle.
Drive UX improvements by understanding use cases and customer requirements.

s a Software Engineer will be critical to the companys success. You will design, build, and maintain the core infrastructure that powers the platform, enabling scalable business logic, data processing, and risk-related decision mechanisms. You will work closely with highly talented engineers to solve complex architectural challenges and deliver robust, high-scale systems.


What you'll do
Develop and maintain core company infrastructure, including search, policies, and foundational platform services
Build and operate backend systems that implement core business logic and large-scale data processing workflows
Take ownership of architectural and design challenges with a strong focus on scalability, performance, and reliability
Contribute to the design and evolution of the platform
Develop extensible libraries and utilities that accelerate development while ensuring scalability and high quality
Collaborate closely with product and other R&D teams
Help solve complex customer issues related to our platform and solutions