דרושים » הנדסה » GTM Engineer

What youll be doing
As a BI Engineer on our team, you'll collaborate with talented professionals dedicated to pushing boundaries and creating advanced solutions. You'll also play a key role in pioneering the adoption of cutting-edge AI-driven tools and processes, proactively advocating for innovative solutions, LLM-based scripting, and efficient AI workflows. Your early-adopter mindset will be essential in shaping the future of data-driven excellence at our company.
Collaboration and Communication: Work closely with data analysts, data scientists, tech, finance and business stakeholders to understand their data requirements to build and deliver data infrastructure, reports and insights that meet their needs.
ETL Processes: Develop highly scalable complex data pipelines to integrate data from multiple sources, ensure that data is accurately extracted from source systems, transformed into the required format, and loaded into the data warehouse (DWH) (using DBT, Git). It also includes verification and monitoring of data quality (Elementary).
Implement GenAI solutions: As part of the job, you will implement new solutions and tools to improve the efficiency of the teams, support self-service for the users and provide insights easily, automatically and quickly.
Data modeling: Responsible for the model, design, implementation, maintenance and improvement of the data warehouses, as well as ensuring the integrity and security of data. Support users needs, including performance and monitor cost
Business Analytics Tools: Design and implement BI tools across the company. Troubleshooting and optimizing the tools and systems to improve performance. This includes ensuring that the reports and dashboards are running efficiently and meeting the user's needs (using ThoughtSpot, Hex)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics and business intelligence to ensure that our company stays ahead in leveraging data for business decisions. Continuously questioning assumptions, processes, and outcomes to uncover hidden opportunities or potential issues.

Were looking for a highly skilled Full Stack Developer to join our engineering team. In this role, youll design, develop, and maintain both backend and frontend systems that power production and internal applications.
Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.
All you need is:

We are seeking an experienced Backend and Platform Engineer to join our Cloud-Compute Platform team. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, debug, and optimize complex systems operating at huge scale.
What your job will look like:
Design, build, and maintain high-throughput backend components that serve as the backbone of our mapping activity.
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Take a major part in technical design and decision-making, balancing performance, scalability, maintainability and cost-effectiveness.
Collaborate with other teams to improve platform integration, ensuring the system is both scalable and developer-friendly.
Elevate the team's technical bar through design reviews and mentoring junior engineers.

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered.

The Role:
We’re looking for a skilled and curious Back End Developer to join our growing engineering team. In this role, you'll architect and build reliable, scalable services that power mission-critical fintech products - from payments and lending to compliance and blockchain. You'll collaborate closely with product, DevOps, and front-end engineers to design robust APIs, implement clean data flows, and solve complex performance challenges. Your work will shape how money moves securely across our infrastructure and directly support millions of users. This is a great opportunity to drive meaningful impact while learning and growing within a highly supportive and technical team.

Who You Are:

* A thoughtful engineer who balances technical excellence with product impact
* Comfortable across the full stack, with strong backend expertise and frontend awareness
* Detail-oriented and passionate about clean, scalable, and well-tested code
* Excited to collaborate and share your knowledge across teams
* Motivated by ownership, mentoring others, and building features that users love

What You’ll Actually Be Doing:

* Design, develop, and deliver scalable software modules and components
* Build backend systems using .NET, DotNet 6.0, SQL Server, RabbitMQ, Docker and AWS
* Plan, triage, and prioritize work across multiple priorities
* Share your knowledge with teammates and help mentor and guide partners

Why You’ll Love Working Here:

* Flexible hybrid model: 3 days a week in the office – A must
* ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact

Next Step:
Hit Apply!

We are looking for a Data Engineer to join our Object Detection group and play a key role in managing and enabling data workflows that power our computer vision algorithms. Our team generates and processes large volumes of diverse data from multiple sources, and we need someone who can bridge the gap between raw data and algorithmic innovation.
Working alongside algorithm developers and researchers, you'll be responsible for building robust data pipelines, ensuring data quality, and making complex datasets accessible and actionable for our detection models.
This role requires both strong coding abilities and a deep understanding of data - you'll need to think like an engineer while understanding the unique needs of a research and development-focused algorithmic group.
What will your job look like:
Work on large-scale systems handling diverse data from multiple sources
Build and maintain robust data pipelines that enable algorithmic development
Evaluate various optional technologies and take part in decision-making
Own key features and services within the data infrastructure
Ensure data quality and accessibility for detection models and research needs
Work onsite in Jerusalem at least 3 days a week

The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems

we are looking for a Senior DevOps Engineer - ML Platform.
AI Engineering's ML-Platform team goal, is to deliver a modern infrastructure and solutions to enhance Algorithm development life cycle and shorten our delivery times. We are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products.
We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.
What will your job look like?
Build and maintain infrastructure for large‑scale AI and HPC workloads across on‑prem and cloud environments
Operate and enhance our multi‑cloud, multi‑cluster scheduling platform
Develop automation, tooling, and platform services und Bash
Troubleshoot complex issues across the stack: compute, networking, storage, orchestration, and distributed systems
Improve reliability of critical systems
Collaborate with ML, data, and backend teams to support evolving platform needs
Drive best practices in CI/CD, infrastructure-as-code, and system design
Participate in on‑call rotations for critical infrastructure components

What you will be doing
As the ML Platform Engineering Manager, you'll lead a team of backend engineers building our company's AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.
The ML Platform team owns the complete AI pipeline - from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.
This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.

we are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams at Mobileye.

Join our dynamic team as a Validation & Version Release Team Leader, responsible for managing the software version release process and leading a high-performing release team.
Your primary mission will be to oversee end-to-end software version releases, coordinate cross-functional efforts, and drive automation and efficiency throughout the release lifecycle.
This is your opportunity to lead and make a tangible impact on cutting-edge automotive technology. If you have a strong background in software development, proven project management skills, and a passion for optimizing and automating release processes.
What will your job Look like?
Lead and manage the version release team, who are the final gatekeepers- the ones who sign off on the version that reaches the customer and drives the world forward.
You will provide technical expertise and guidance to resolve complex release-related issues.
Define, implement, and continuously improve efficient release processes for software versions.
Oversee the automation of release processes, including testing, deployment, and monitoring.
Integrate AI-driven tools to enhance and streamline release processes.
Collaborate with stakeholders to gather requirements, define release scope, and prioritize activities.
Ensure compliance with quality standards, industry's best practices, and regulatory requirements.
Maintain comprehensive documentation of release processes, including release plans, reports, and performance metrics.