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We are looking for a Deep Learning Tech Lead, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.

We're hiring an exceptional Applied AI Scientist to join our team!

In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across Tipalti's core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.


In This Role, You Will Be Responsible For


Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

We are looking for a Deep Learning Tech Lead, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
** This role requires working at our Jerusalem offices 1 day per week.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.

our companys Autonomous Driving group in Haifa is looking for an Electrical Validation & Embedded SW Engineer. This is an exciting opportunity to join a growing team of highly talented engineers, working on the worlds most advanced SoCs for ADAS and self-driving vehicles.
In our company, Electrical Validation engineers enable, debug, and validate high-speed interfaces - like LPDDR4/5/6, PCIe Gen4/5, CDPHY, and MPHY - using high-end Lab measurement equipment and advanced SW tools. This dynamic work environment requires interfacing with Silicon and hardware design engineers, Software developers, Signal Integrity, and System Validation teams. The proximity to Signal/Power integrity simulation activities - we are a single SIPI/EV team - is another powerful advantage, enabling joint simulation-measurement effort.
What will your job look like:
You will join a team of talented and experienced EV/SI/PI engineers with wide scope of responsibility, from Pre-Si SI/PI simulations to Post-Si Electrical validation and debug, covering all the high-speed analog interfaces of our companys EyeQ products.
Responsibilities include performing electrical spec compliance and system margin validation, interface optimization, statistical results analysis, validation flow definitions and automation, validation SW tools development, etc.
You will also deal with FW development, automation enabling, data post-processing and debug of high-speed interfaces, like LPDDR4/5, PCIe Gen4/5, and D/C/MPHY.

we are looking for a Technical Support Engineer.
As a Technical Support Engineer, you'll take ownership of technical escalations and serve as the central point of contact for various operational teams. Your primary focus is to assist our customers in maximizing the use of our global financial automation platform, ensuring seamless business operations. Collaborate with engineering and product teams to swiftly investigate and resolve complex technical issues while delivering an exceptional customer experience.
In this role, you will be responsible for:
Take full ownership of technical issues escalated by the Onboarding Managers, Customer Support and Customer Success teams, ensuring a seamless troubleshooting process - including information gathering, root cause analysis, and clear resolution communication.
Lead internal escalations with Engineering and Product teams to ensure a timely response and appropriate actions to mitigate customer impact.
Provide expert technical support across Payments, Payees, and Cards domains, including complex payment workflows and payment provider integrations, while working closely with internal operational and Engineering teams to ensure seamless customer resolution.
Diagnose and troubleshoot high-impact payment issues, including payment lifecycle discrepancies, provider-related failures, cutoff-related delays, transaction status issues, and payment processing escalations, driving robust and customer-focused resolutions.
Work closely with team leadership to identify emerging issues before they become widespread, contributing to proactive risk mitigation.
Identify trends in technical challenges, driving long-term improvements to enhance customer satisfaction and system reliability.
Maintain internal documentation and actively contribute to knowledge-sharing across the team.

Join one of the hottest startups in the payments space. we are transforming painful, manual accounts payable processes with a global payment platform that automates the entire process of paying partners worldwide while enhancing the partner experience.
Our customers love us and our 99% customer satisfaction record is proof of that. We help some of the world's hottest companies such as Amazon, GoDaddy, Twitter, and hundreds of others grow and scale their operations more successfully.
If you are a product manager leader, looking for a fast-paced, dynamic, get-stuff-done, where you have the opportunity to make a difference and play a critical part in growing product and revenue - we would love to talk with you
As a Director of Product Management, you will be responsible for:
Inspire, lead, and develop a team of 3 product managers.
Lead a product line: Define and develop a product roadmap for the Payments domain that represents key deliverables, customer needs, and market direction; track execution and manage sprint scoping.
Work closely with the development team in Israel, as well as with the entire product team
Be the domain expert, mastering both the customer needs and the product capabilities.
Engage with executive stakeholders to identify needs and map them to the overall product roadmap.

our company Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs.
This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

We are seeking a highly technical QA Engineer to join our engine engineering group. In this role, you will be the guardian of quality for our core platform capabilities. You will be responsible for designing and implementing robust automation frameworks, ensuring the architectural integrity of our testing suites, and validating complex features across both client-side and server-side systems. You will work in a fast-moving environment where quality is a shared responsibility, but you provide the strategy and tools to make it possible.

What Will You Do:
Take part in the QA effort within your squad, fostering a culture where quality is integrated into the development lifecycle from day one.
Design, implement, and own complex automation tests spanning engine logic and backend services.
Own the manual validation of features across multiple services: identify edge cases, manage test dependencies, and provide clear "Go/No-Go" signals.
Proactively identify technical and delivery risks, articulating the trade-offs between speed of delivery and test coverage.
Act as a key player in diagnosing complex production incidents and ensuring that "post-mortem" tests are added to prevent regressions.
Collaboration: Partner closely with Product and Developers to define "Definition of Done," unblock delivery, and ensure shared ownership of the product quality.
Strong expertise in the teams core stack (Node.js) to build and execute automated test suites (API, Integration, E2E).
Expert-level proficiency in Playwright for cross-browser E2E testing.
Ability to navigate and interact with the DOM efficiently for frontend testing, utilizing event delegation and understanding browser rendering to build stable UI tests.
Proactively identifies and implements improvements to testing pipelines, deployment gates, and internal QA tooling.
Ability to pivot testing strategies as the product evolves and independently learn new testing frameworks or technologies.

If you're looking for a fast-paced, dynamic, get-stuff-done environment and want to lead a strategic product domain with real impact on one of the most critical infrastructure layers - this is the role for you.
We are looking for a Senior Product Manager who is a true builder at heart - someone with an innovative mindset who constantly seeks better ways to solve complex infrastructure challenges.
You'll lead our Funds Flow domain - the backbone that enables entire product suite to move money across the world. This is a high-impact, platform-oriented role at the heart of our payments infrastructure, serving both internal product teams and external financial partners (This is an Inbound PM role).
In this role, you will be responsible for:
Leading the product strategy and roadmap for Funds Flow - including payment routing engines, Ledger architecture, and end-to-end money movement infrastructure
Defining and evolving cross-organizational APIs and platform capabilities that enable other product domains to consume Funds Flow services
Working closely with two strong engineering teams to prioritize complex tasks, drive architecture decisions, and resolve edge cases
Leading product integrations with international banks, acquirers, and payment partners - defining requirements and aligning on technical interfaces
Partnering with Legal, Compliance, and Finance teams to ensure full regulatory alignment
Using data and reconciliation analysis to identify transaction failures, optimize routing, and reduce transfer costs
Translating complex financial infrastructure requirements into clear product specs and execution plans

our company Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs.
This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

We are seeking an experienced Full-stack Team Leader to lead a high-performing squad within our engine engineering group. In this role, you will be overseeing the development of core platform capabilities. You will be responsible for the professional growth of your developers, the architectural integrity of your teams output, and the successful delivery of complex features across both client-side and server-side systems in a fast-moving environment.

What Will You Do:
Lead, coach, and mentor a team of full-stack engineers, fostering a culture of technical excellence and continuous improvement.
Oversee the design and implementation of complex features spanning engine logic and backend services, ensuring the team writes robust, scalable, and maintainable code.
Own the end-to-end delivery of features across multiple services; break down high-level product initiatives into clear tasks, manage dependencies, and provide accurate timelines.
Lead architectural decisions and service design, clearly articulating trade-offs and ensuring modules are scalable and align with long-term platform goals.
Act as the escalation point for complex production incidents.
Enforce high standards for testing and monitoring.
Partner closely with Product, QA, and other Engineering Leads to unblock delivery, align on priorities, and ensure shared ownership of the product roadmap.
Strong expertise in the teams core stack (Node.js, Relational/NoSQL databases) with the ability to jump into the code and execute complex implementations when necessary.
Proven ability to design scalable modules and services within a distributed domain context.
Proactively identifies and implements improvements to team processes, deployment strategies, and development tooling.
Ability to lead the team through technical pivots and independently learn/adopt new technologies as the stack evolves.