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we are looking for a Senior Talent Acquisition Partner to join our growing People team and take ownership of hiring across the organization. This is a hands-on role for someone who loves working closely with hiring managers (mostly in R&D), building strong candidate pipelines, and creating an excellent candidate experience.

What you will do:

Own end-to-end recruitment processes, from sourcing and screening to offer and closing.

Partner closely with hiring managers to understand hiring needs and build effective recruiting strategies.

Source and engage high-quality candidates through LinkedIn, referrals, networking, and other channels.

Manage multiple searches and priorities in a fast-paced, high-growth environment.

Build strong relationships with candidates and provide a positive, professional candidate experience.

Use recruiting data and metrics to identify opportunities to improve our hiring process.

Help build and strengthen our employer brand and employee referral programs.

Partner with the People team on recruiting initiatives and projects.

s a Product Manager, you will play a pivotal role in shaping and guiding the development of our cutting-edge cybersecurity platform. You will collaborate closely with cross-functional teams, including Backend Developers, customers, field engineers, and product teams, contributing to the thought and design process that drives the critical path of customer onboarding, integration, and data flow
What you will do:

Collaborate with the product team to define and prioritize product features and enhancements.

Work closely with Fullstack Developers to understand technical requirements and constraints.

Translate customer needs and market trends into clear product requirements.

Drive the product development process, ensuring alignment with business goals and customer needs.

Create and maintain product roadmaps, ensuring timely delivery of key milestones.

Engage with customers to gather feedback, understand their challenges, and incorporate insights into the product strategy.

Work with cross-functional teams to design seamless integration and onboarding processes for customers.

Stay informed about industry trends and advancements in backend development and cybersecurity.

Collaborate with engineering teams to balance technical feasibility and product requirements.

We are seeking a Product Manager to lead the product definition, development, and deployment of the next-generation cloud services for its autonomous product suite. This role is intended to oversee product lines launched across broad autonomy tiers, from surround ADAS to robotaxi fleets
What will your job look like?
Lead the Product Lifecycle: Drive the ideation, definition, and launch of cloud services for various AV applications, spanning from routing optimization engines to supportive mechanisms like ODD and fleet management.
Shape the Roadmap: Collaborate with internal stakeholders (Product, R&D, Validation, Business Development) and external partners (OEMs and transportation service providers) to define the product roadmap and KPIs based on given delivery constraints.
Leverage Data: Define what to measure, how to measure it, and what solutions to prioritize, optimizing for performance, scale, and time-to-market.
Support Business Development: Support pre-sale processes and customer onboarding through demos, presentations, specs, and marketing material creation.
Ensure Alignment & Clarity: Champion cross-functional collaboration in a matrix environment to ensure successful execution by articulating clear product requirements and specifications.

Were looking for an experienced AI Team Lead to build and lead this team - someone who combines strong engineering leadership with hands-on experience building production AI systems and platforms.

What youll do
Build and lead AI dedicated team from the ground up.

Define, implement and maintain the company-wide AI platform, infrastructure, and developer tools.

Enable R&D teams to build, test, deploy, and monitor AI-powered capabilities independently.

Lead the design and delivery of shared AI experiences and services across the company.

Establish standards for quality, reliability, security, observability, and cost management.

Partner with Product, Engineering, DevOps, Security Research, and other teams to identify high-impact opportunities and turn them into scalable solutions.

Stay hands-on with architecture, implementation, production issues, and technical decisions.

Mentor engineers and raise the engineering bar for AI development across R&D.

In this role, you will be responsible for designing and implementing backend systems that connect and integrate with customer environments. You will work closely with customers, field engineers, and product teams and be an integral part of the thought and design process of our methodologies and practices which guide us in the critical path of customer onboarding, integration and data flow. The role requires creativity, research and problem-solving skills as well as deep technical knowledge and the ability to deep-dive into complex and difficult problems.
What you will do:

Design and implement backend systems that connect and integrate with customer environments

Identify, collect and model data from large-scale environments

Stay up-to-date with industry trends and advancements in backend development

Develop reliable production-grade code which will run side-by-side with customer applications in scale

Dive into a world of endless technologies and explore the latest and greatest cutting-edge software programming languages and frameworks

Collaborate with the product team to create a seamless integration and onboarding process for our customers, including designing the workflow and features that will make the experience as smooth and efficient as possible

Develop key components in the companys architecture, supporting complex use-cases for the present and future

Develop concurrently at immense scale, with billions of requests for hundreds of customers every day

Lead major changes, taking initiative and influencing the products technical and business growth

Work with your teammates to guide R&D through the evolution of the platform, advising and influencing at every scope

Take end-to-end responsibility for your code, through development, testing, rollout and scale-up

As a Data Infra Engineer, you will play a critical role in setting up, optimizing, and maintaining our data & analytics infrastructure. You will work closely with the development and Security teams to ensure the reliability, scalability, redundancy, and security of our data infrastructure platform.

The ideal candidate is passionate about big data, loves working with cutting-edge technologies, and thrives in a collaborative environment.
What you will do:

Design, implement, and manage scalable, highly available databases for both transactional, real-time use as well as backend analytics and big data.

Build, design, and maintain data processing pipeline infrastructure used by our various applications

Develop and maintain CI/CD processes for automating seamless changes to data infrastructure, including data migrations and database upgrades

Work closely with developers to make sure our data infrastructure meets existing and new feature requirements

Work alongside our Security Team to ensure our infrastructure meets rigorous security standards

Ensure the data infrastructure processes adhere to best practices in security and compliance.

We are looking for a Validation & Analysis Project Manager to join the AV Sensing team and lead the design and implementation of validation infrastructure for Radar, LiDAR, and sensor fusion systems. The role will drive validation strategies and scalable testing capabilities to ensure the safety, robustness, and performance of our autonomous sensing systems.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Own the end-to-end validation process for autonomous sensing systems (Radar, LiDAR, and sensor fusion), from definition to execution.
Build the validation infrastructure, methodologies, and workflows required to ensure system robustness and safety.
Define validation strategy: test coverage, success metrics, and failsafe verification approaches.
Translate product and system requirements into structured validation plans and measurable outcomes.
Work in close collaboration with R&D, algorithms, system engineering, and product teams.
Identify gaps in testability, observability, and lead solutions to address them.
Establish scalable processes for validation, monitoring, and continuous improvement.
Present insights, risks, and recommendations to stakeholders to drive decision-making.

Were looking for an experienced Query Infra Team Lead to build and lead this team - someone who comes from deep data infrastructure, analytical databases, search infrastructure, and large-scale querying, and who wants to shape one of the most important technical foundations of platform.
What youll do
Create, build and lead Data Infra team from the ground up.

Own the infrastructure of investigation data layer for the Platform.

Turn investigation infrastructure into a dedicated, well-defined platform capability.

Design and evolve the data models, schemas, indexing strategies, and query patterns that power investigation databases.

Lead the architecture, operation, and scaling of the databases and search infrastructure that power investigation, analytics, and query use cases across the platform.

Partner closely with Product, Backend, DevOps, Security Research, and customer-facing engineering teams to define clear boundaries, contracts, and data-layer APIs.

Make the data layer reliable, observable, cost-efficient, and performant across many tenants and large volumes of security data.

Set engineering standards for schema design, data modeling, query optimization, migrations, backfills, and data-quality monitoring.

Mentor engineers, review technical designs, and raise the bar for how builds and operates data infrastructure.

Stay hands-on: this is a leadership role for someone who can still go deep into architecture, production issues, performance bottlenecks, and complex queries.