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Innoviz is a leading provider of high-performance LiDAR sensors and perception software that enable safe autonomous driving on scale. We are looking for a Senior Software Engineer to join our software development team, focusing primarily on Lidar calibration software and production line automation. This is a hands-on role where you'll work directly with cutting-edge hardware, develop calibration procedures for the lidar, and contribute to the architecture of mission-critical software systems. Responsibilities Calibration software development : Design, implement, and maintain calibration software, working closely with System Engineers. Production line automation : Develop software solutions to automate manufacturing processes. Software quality improvement : Enhance code quality, test frameworks, and development practices across the team. Architecture & design : Contribute to high-level software architecture decisions and system design. Cross-functional collaboration : Work closely with software, hardware and system engineers.

Sub Department:
ATE

City:
Rosh Ha‘Ayin

CodeValue is looking for a skilled and experienced Security Engineer to join our team and take a leading role in designing, implementing, and governing the security posture of our cloud and enterprise environments. This individual will work closely with cross-functional teams to ensure security is embedded across systems, applications, and workflows, aligning with industry best practices and compliance requirements.

We are looking for a highly motivated and talented Marketing Data Analyst to join our Analytics team and contribute to our marketing organization's strategic decision-making process.
As a Marketing Data Analyst, you will work closely with members of the marketing organization to drive impact, value, and insights using data and play a key role in our growth.
What does a Marketing Data Analyst at our company mean?
Collaborate closely with members of the marketing & product organizations to leverage data for strategic decision-making.
Design and build dashboards to monitor business KPIs, ensuring data hygiene and integrity.
Develop models, targets, and tracking reports to measure the effectiveness of our marketing efforts.
Identify new growth opportunities and foster a data-driven culture within the marketing organization.
Communicate your findings and recommendations to stakeholders in a clear and compelling manner.
Collaborate with data engineers to integrate new data sources, enhancing our systems.

We are looking for an enthusiastic backend engineer to join our R&D team to help us shape the future of privacy, and take part in building exciting products! The team is made of talented players dedicated to building robust and scalable systems using all the latest tech and buzz

As a principal engineer , you will work on multiple aspects of the system - from the orchestration of our cloud environment to implementing complex flows and logic that drive value to our customers, making our product unique and highly scalable.

Were looking for a Product Analyst to join our Analytics team and work at the very center of our companys product and business.
This isnt a dashboards and reports role. Youll be embedded with product managers, growth leaders, and business owners to influence decisions that shape our users experience and tens of millions in revenue.
Youll ask tough questions, connect dots across data, and deliver insights that change how we build, launch, and grow products. Your work has the potential to impact our entire book of business.
Whether youre early in your career or already experienced, this role offers real room to grow in skill, in scope, and in influence.
What Youll Do
Partner with PMs, GTM, and leadership on product launches, experiments, and growth initiatives.
Design and measure KPIs across engagement, retention, monetization, and funnels.
Conduct deep-dives to uncover opportunities and bottlenecks.
Present insights bottom-line first, in a way that drives action.

As a Data Analyst in this team, you will be the owner of some of the companys most critical datasets and work closely with software engineers in a highly technical environment to design, monitor, and improve data pipelines. Youll combine analytical skills with technical curiosity, ensuring data is accurate, reliable, and scalable for use across the company.
This role is ideal for someone who enjoys analysis while also engaging with the systems and technologies that power the data itself.
What youll do
Research data sources and design metrics, dashboards, and tools to boost visibility and utilization of our datasets.
Perform ongoing data QA, define quality KPIs, and proactively flag anomalies.
Partner with engineers to shape and validate data flows, contributing to the design of complex acquisition projects.
Troubleshoot and debug data issues by diving into pipelines, scripts, and logs.
Act as a subject matter expert for the datasets we deliver, supporting other teams across R&D and Product.

About the role:
As an AI Backend Engineer at our company, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
Responsibilities:
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst at our company look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our companys data and algorithms.
Utilize your deep understanding of our companys data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

Were looking for an Experienced Full Stack Developer to design, code, and manage our companys large-scale and highly available services, using cutting-edge technologies and modern design practices.
This position is within the Shopper Intelligence team, the group behind our companys eCommerce product. Operating as a startup within our company, the team combines the energy, agility, and innovation of an early-stage company with the resources and reach of a global leader. Youll be joining a highly dynamic environment where ideas move quickly from concept to product, and your work will have a direct impact on shaping one of our companys fastest-growing solutions.This role reports directly to the Team Manager, R&D.
Why is this role so important at our company?
We are a company that is driven by innovation, which means that we are constantly building and developing new features and products to meet customers needs.
As a full stack developer, you will have the opportunity to work with the most cutting edge technologies, to solve complex challenges, and create high quality and scalable code. Your work will have a direct impact on customer satisfaction and our business objectives.
So, what will you be doing all day?
Your role as part of the R&D team means your daily responsibilities may include:
Designing, coding and managing large scale, highly available services using cutting-edge Client/Server technologies (NodeJS, React, TypeScript, JavaScript, Redis, Docker, etc.)
Design, develop, and maintain server-side logic using TypeScript frameworks.
Building scaled-data pipelines, loading data into serving layers. Using ETL frameworks like Databricks and Airflow.
Leading decision-making & design of APIs, mechanisms and abstractions.
Working in a BigData environment, using Firebolt as data warehouse.
Building new features and directly impacting the future of our product from UI to DB
Writing (a lot of) high-quality, functional code backend and frontend
Performing code reviews, evaluating implementations, and provide feedback.

What Youll Do:
Youll be part of the group responsible for our companys main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer at our company look like:
You will be working on our companys core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Data Analyst Customer Facing (Data Labs) at our company look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our companys raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

Were looking for a Salesforce CPQ Solutions Engineer to lead the design and delivery of scalable, efficient CPQ systems that streamline quoting, pricing, and sales processes. If youre passionate about translating complex pricing models into powerful automation, and enjoy collaborating with cross-functional teamsthis is the role for you.
The ideal candidate combines a solid understanding of business pricing strategies with hands-on experience in building scalable, maintainable CPQ systems that enhance sales efficiency and ensure quoting accuracy.
This role is both strategic and technical, requiring close collaboration with cross-functional teams including sales, finance, and operations.
Key Responsibilities
End-to-End CPQ Implementation
Lead the design and build of Salesforce CPQ implementations from requirements gathering through deployment and support.
Translate complex business pricing structures into automated CPQ configurations.
Own the technical setup of product catalogs, price rules, discount logic, approval processes, and quote templates.
Pricing Strategy & Business Modeling
Work with business stakeholders to understand pricing models: subscription, usage-based, tiered, volume, and hybrid models.
Support bundling strategies, SKU rationalization, and guided selling logic.
Build rules that reflect approval thresholds, partner discounts, and contract conditions.
Advanced CPQ Configuration
Implement:
Product, Price, Constraint, and Lookup Rules
Dynamic bundles, guided selling flows, configuration attributes
Custom quote templates, document generation, and approval automation
Ensure modular, scalable, and well-documented configuration that aligns with long-term growth.
Cross-Functional Collaboration
Serve as the subject matter expert for CPQ across departments.
Partner with Sales Ops, RevOps, Finance and Information Systems to align CPQ systems with the companys go-to-market strategy.
Provide enablement materials and training for end-users and administrators.
Project & Stakeholder Management
Drive project delivery: scope, timeline, risk management, and deployment.
Communicate clearly with both technical and non-technical audiences.
Maintain a service-oriented mindset that supports adoption and business satisfaction.

What Youll Do:
Youll be part of the group responsible for our companys main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer at our company look like:
You will be working on our companys core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

We are looking for an Android Developer.
What does the day to day of a Mobile Developer at our company look like:
Design and write (a lot of) high-quality, functional code of B2C apps with millions of paying and non-paying users.
Tackle challenges and find creative and innovative ways to solve them.
Determine feasibility & take part in decision-making by performing risk management and evaluating trade-offs.
Contribute to your team development velocity and quality confidence.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Perform code reviews, evaluate implementations, and provide feedback.
Have lots of fun!

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important at our company?
we are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.