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We are seeking a Technical Program Manager (TPM) to join our centralized Quality & Automation infra-Group. This team is at the forefront of a company-wide transformation toward modern, scalable, and data-driven quality engineering practices tailored to SaaS. The TPM will lead key initiatives focused on unifying tools, frameworks, and processes and improve testability across a large-scale distributed organization.
This role is ideal for someone who thrives in navigating complex ecosystems, aligning stakeholders, and bridging technical and organizational priorities with clarity and impact.
Key Responsibilities
Partner with cross-functional teams (R&D, QA, DevOps, Product) to gather requirements and identify quality gaps across the development lifecycle.
Translate product quality strategy into concrete execution plans, including scoping MVPs and managing proof-of-concepts (POCs) for quality and test automation tooling.
Collaborate closely with quality infrastructure architects and automation infra development teams to design, prioritize and drive adoption of shared quality platforms.
Facilitate alignment and cross-team cooperation for technical initiativesOKRs, roadmaps, reporting, and stakeholder communication.
Drive implementation and technical validation of quality and automation tools within various engineering teams.
Use data analysis to track progress, identify patterns, and surface insights that inform quality strategy and operational decisions.

we are looking for an experienced and highly motivated Senior Data Engineer with high professional skills to join our AI, Data & Research unit. Spearhead the development of Data Lakehouse processes and modeling our company products; Define and popularize best practices in the data field.
Work closely with ML, Data engineers and architects from the AI, Data & Research unit as well as R&D software engineering teams.
identify opportunities and help specify data requirements to improve security for our company products and customers along with product managers and data scientists.

As a senior Automation engineer at our company's R&D department, you will build and maintain the automation test and some of DevOps infrastructure for our automation test environments.
Build and maintain the test automation infrastructure for our company DV pCloud product, ensuring it meets high standards of availability, reliability, and quality.

We are looking for a bright, talented Senior Devops Platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

We are seeking a Senior Software Architect to lead and shape the architectural vision of our SaaS healthcare platform, guide the adoption of cutting-edge AI technologies, and ensure our solutions remain scalable, secure, and future-ready.
This is a hands-on, strategic leadership role that combines visionary system design, proof-of-concept development, and AI-first innovation enablement.
Responsibilities
1. Architectural Leadership
Define, communicate, and evolve the platforms architectural vision to ensure alignment with business goals.
Lead high-level design discussions and decisions for new and existing products.
Establish and maintain architectural principles, standards, and patterns across all engineering teams to ensure consistency and coherence.
Drive cloud-native architecture in AWS with a strong focus on scalability, availability, performance, and cost efficiency.
2. Innovation & Emerging Technology

Build POCs and pilots for new solutions, frameworks, and AI capabilities.
Evaluate emerging trends in AI, LLMs, MCPs, agents, and developer productivity tools, ensuring strategic adoption where relevant.
Initiate projects/features to solve widespread problems (including work with Support, DevOps, Infosec)
3. AI Tooling Evangelism
Spearhead engineering-wide adoption of AI-assisted development workflows, including developer productivity tools, code copilots, automated quality checks, and automated documentation.
Define best practices, guidelines, and governance for AI usage in development (e.g., Cursor configuration rules, prompt engineering standards).
Educate and mentor teams on effective AI utilization for engineering, product, and operational tasks, taking into account security, costs, and compliance.
4. Technical Governance & Best Practices
Overall ownership of the system scalability, COGS, and stability of the our company product(s)
Define standards for coding, testing, CI/CD, and monitoring.
Enforce architectural and design reviews for key initiatives.
5. Cross-functional Collaboration
Work closely with Engineering, Product, Data Science, DevOps, and Security teams to deliver well-architected solutions.
Communicate complex technical concepts to non-technical audiences, including executives and external partners.
Collaborate with customers and partners when needed to align architecture with integration requirements.

Were scaling fast and looking for a highly motivated BDR to join our growing inbound/outbound team. You'll play a pivotal role in building pipeline through proactive outreach and targeted account engagement, helping our company expand across enterprise healthcare organizations.
This is a hybrid role (2-3 days/week in our Tel Aviv office) with a U.S. market focus, requiring comfort with working US hours. If you're excited about AI technology, passionate about healthcare innovation, and thrive in a fast-paced environment, this is your opportunity to join a mission-driven team making a true impact on the lives of physicians and patients.
Responsibilities
Generate pipeline: Proactively identify, research, and engage target accounts and personas within U.S. health systems, provider groups, and health plans to book qualified meetings for our Sales team.
Qualify and nurture inbound leads: Respond to and qualify inbound leads generated from marketing efforts, nurturing initial interest into real sales opportunities.
Personalize outreach at scale: Utilize the latest tools (GPT, Clay, Apollo, ZoomInfo, LinkedIn Sales Navigator) to create personalized, compelling outreach via email, phone, and LinkedIn.
Execute multi-channel workflows: Follow and optimize multi-channel sequences, including email cadences, phone calls, and LinkedIn messaging to maximize conversion rates.
Collaborate internally: Work closely with Sales, Marketing, and Revenue Operations to align on ideal customer profiles (ICPs), messaging, and campaign strategies.
Support events and conferences: Actively participate in pre-event outreach campaigns, engage prospects during industry events, and manage effective follow-up strategies post-event.
Track and report activity: Consistently maintain accurate records in the CRM (HubSpot) and use metrics to refine your approach and improve outreach effectiveness.
Penetrate high-value accounts: Partner with sales on outreach efforts into strategic, high-priority accounts, and set a high standard for engagement quality.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time to giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.
Responsibilities
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Build and maintain dashboards to improve data visibility and monitoring.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.
Responsibilities
Lead development processes from ideation to production
Develop, maintain, and imperialize the products application layer (front end & back end)
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
we are looking for a talented and experienced Senior Software Engineer to join our data group.
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

we are a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.
At our company, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.
we are backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.
Responsibilities
The Data engineer is responsible for the definition of the data ecosystem used by the object detection team our company .
Overseeing the companys data pipeline system and processes including organizing, storing, labeling, and analyzing the data received, to ensure timely delivery of high-quality data required for the development projects of the company.
Establish and implement an effective process for data management, and build a strong team of data annotation specialists.
Data team management: group management, monitoring data tasks, monitoring of the work pace and improving processes to ensure efficient processes
Working closely with R&D and product management teams, algorithms, functional testing specialists, and data tagging professionals to ensure successful kickoff and execution of required projects including manpower planning, the correct definition of requirements, training materials preparation, and progress follow-up.
Provide Data for training deep learning networks.
Collect and analyze data for the effectiveness of the projects, using scripts, python queries, and building dashboards
Test new annotation tools and improve existing ones, validate the quality of the annotated data.

As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

We are seeking a hands-on Director of Embedded Systems to lead the strategy, execution, and customer engagement for our embedded platforms in advanced automotive perception. Reporting directly to the VP R&D, you will manage the Embedded Software Team Lead (5 engineers) and the Software Architect, while also engaging closely with Tier-1/OEM customers and silicon vendors.
This role combines deep technical ownership, strong leadership, and customer-facing responsibilities in a fast-paced startup environment.
Responsibilities
Leadership & Team Growth
Lead the Embedded Software Team Lead and Software Architect, ensuring alignment between architecture, implementation, and delivery.
Set priorities, allocate resources, and oversee execution across embedded software development.
Act as the escalation point for complex technical or organizational challenges.
Build a high-performance, accountable, and collaborative culture.
Prepare for future team growth as the company scales.
Technical Ownership
Remain hands-on with design reviews, architecture decisions, and technical discussions.
Own the end-to-end embedded software vision for perception systems, balancing scalability, real-time performance, and safety.
Oversee architecture across heterogeneous compute platforms (CPUs, GPUs, NPUs, MCUs).
Ensure best practices in coding, reviews, testing, and integration in real-time, safety-critical environments.
Coordinate with 3rd-party partners on middleware, BSP, OS abstraction, and low-level drivers, with the ability to read and challenge design documentation.
Customer & Partner Engagement
Spend ~50% of your time outbound: lead technical discussions with Tier-1/OEM customers, support escalations, and represent embedded systems in workshops.
Manage relationships with silicon vendors (e.g., TI, NVIDIA, Qualcomm, Renesas), staying aligned with their roadmaps.
Ensure embedded deliverables are integrated smoothly with broader system needs in perception, hardware, and validation.
Standards & Compliance
Own compliance with ASPICE, AUTOSAR, ISO 26262 (Functional Safety), and ISO/SAE 21434 (Cybersecurity).
Lead audits, reviews, DFMEA/DFA processes, and quality gates.
Define and enforce engineering processes and metrics across the embedded team.
Innovation & Roadmap
Track industry trends in embedded systems, AI acceleration, and automotive perception.
Shape the long-term roadmap for embedded platforms in collaboration with executives.
Evaluate and adopt new tools, frameworks, and hardware accelerators to enhance performance and safety.

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.