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We are seeking a Software Engineer to join our The Merchant-Ops squad responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is composed of skilled backend, frontend, and data engineers.

As the Merchant-Ops Lead Software Engineer, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.

Key Responsibilities:
Contribute to the development of our Merchant Ops products, empowering merchants and partners with seamless tools, insights, and a reward system.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.
Provide mentorship to junior team members, nurturing their growth and development.

We are seeking for a Lead Software Engineer to join our Purchase Squad. This team is at the heart of our company's operations, responsible for developing and maintaining our core loan application system. This role will be involved in complex system architecture, providing unique challenges that demand a strong passion for architecture, outstanding coding skills, and a continuous learning mindset.

Key Responsibilities:

Contribute to the development of our core loan application system, ensuring high-quality products and services.

Solve complex architectural problems, utilizing your deep understanding of system architecture.

Collaborate with other team members, sharing your expertise and facilitating a culture of learning.

Maintain our system architecture, ensuring smooth operation and quality user experience.

Be an advocate for clean, efficient, and maintainable code.

Provide mentorship to junior team members, nurturing their growth and development.

As a Research Engineer, you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:
Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications.
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions.
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically.
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas.
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development.

Forward Deployed Engineering sits at the frontier of that work. We embed with our most strategic enterprise customers, running on-prem, air-gapped, and heavily regulated environments, and own the technical arc from discovery through production.

Your day might include designing a solution architecture for a high-impact agentic use case, debugging a production routing issue deep in our codebase, deploying a new MCP server with a customer team, or aligning with a CTO on a rollout plan; all in service of outstanding outcomes and rapid time to value for the organizations we work with.

This is a founding function. The first FDEs will define how we conducts field engineering: the standards, playbooks, and technical bar. The work is hands-on, commercially scoped, and high-leverage: youll partner closely with Product, Research, Platform, Security, and GTM, and what you learn in production directly shapes what the core team ships next. If you thrive under ambiguity, make fast and sound decisions when the stakes are high, and get energy from closing the gap between what customers hit in production and what we build next, this role is for you.

In This Role You Will
Own technical delivery across multiple deployments from first prototype to stable production, including core engineering work that unblocks strategic accounts.
Lead deep technical diagnosis and remediation in our codebase and production environments, model routing and gateway behavior, large-PR scaling, multi-pass behavior, performance and reliability issues.
Build customer-specific extensions (MCP servers, agent skills, platform integrations) that deliver immediate value and become durable product capability; upstream them into the main roadmap where appropriate.
Embed closely with customer engineering teams: serve as their senior technical counterpart for hands-on debugging, architecture reviews, and joint implementation.
Scope work, sequence delivery, and remove blockers early; make deliberate trade-offs between scope, speed, and quality to protect delivery timelines.
Partner with Product, Research, and Platform to convert account learnings and eval-driven feedback into roadmap items, specs, and prioritized engineering work.
Codify working patterns into tools, playbooks, runbooks, and reproducible benchmarks that Support and account teams can operate independently and help scale the field engineering function across the organization.

We are looking for a Senior Product Engineer to join a global team of a Product Engineers that own a technical success and customer satisfaction across multiple high-impact projects. This role is deeply rooted in data analytics; youll be working at the intersection of silicon, systems, and software to deliver high-value insights to customers.

Responsibilities
Performing post-silicon and system-level data analysis and providing insights on data extracted from post-silicon stages.
Supporting customers with analytics platform problems solving and new features introduction.
Drive integration of our analytics platform within customer environments, bridging silicon, test, and system-level domains.
Collaborate with R&D and data science teams to develop, validate, and improve advanced analytics algorithms.
Troubleshoot complex silicon/system issues through data-driven insights.
Partner with internal stakeholders (design, software, product) to influence roadmap and execution.
Act as a technical professional in customer onboarding, support, and ongoing engagement.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.

Location: Tel-Aviv in hybrid model.

Responsibilities
Develop advanced ML algorithms using data from our Agents embedded in silicon. Example domains include:
Lifetime predictions.
Clustering and dimensionality reduction.
Parametric modeling and screening.
Time-series forecasting.
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Required Presales Manager, Domain Consulting - Prisma Browser
Your Career:
As Domain Consultant Manager, you are the technical leader for your Domain Consultant team focusing on Prisma Browser. Your team provides technical expertise and guidance in customers network security and zero trust journey. You will work closely with the Solutions Consultant Managers and their District Sales Manager counterparts to build relationships with your customers and help them detect and prevent advanced cyberattacks and breaches. You and your team will play a key role in defining technical solutions that secure a customers key business imperatives and will evangelize our industry leadership in on-prem, cloud, and security services that establish us as a customers cybersecurity partner of choice.
You will join a new and exciting business unit with us positioning the industrys first combined Enterprise Browser and comprehensive SASE security platform, with the industrys broadest security and compliance coverage for applications used by your hybrid workforce, regardless of whether they are at home, on the go, or in the office.
We seek a leader to develop our Domain Consultant teams, providing training and technical support as a solution expert. Additionally, you will provide feedback to the product management team on new feature requests and product improvements based on what you learn from your customer base. Your team, in partnership with the systems engineering team, will displace competitor technologies, build market share within your targeted list of major accounts, and, most importantly, help your client sleep at night as they use our products to build secure digital transactions.
Your Impact
Recruit and hire new Domain Consultants into the team, hiring the best talent in the industry
Work with your peers to develop a Domain Consultant training curriculum
Mentor, train, and review employees on your team, keeping them engaged and successful in their careers
Develop relationships with the Solutions Consultant Managers and their teams to ensure full technology coverage in key opportunities
Provide effective technical leadership in customer interactions, including sharing security trends and standard methodologies employed by other customers to actively be part of the selling process
Provide Domain Consultant expertise and fill in for existing team members if there is a resource conflict or vacation coverage challenge
Innovate and iterate to drive high technical validation and PoC win rates for Network Security solutions, while reducing technical validation and PoC timelines
Present to customers as our expert in your area at all levels in the customer hierarchy from technician to CIO
Lead conversations focused on industry trends and emerging changes to the security landscape
Discuss competitor offerings in the marketplace and positions ours as the best solution.

our Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, wed love to meet you!
What Youll Do:
Partner with the sales team to articulate the overall our company value proposition, vision and strategy to customers
Continually learn new technology to build competitive knowledge, technical skill, and credibility
Deliver product and technical presentations with potential clients
Have a direct line of communication with the product team to collaborate on feature requests
Help clients onboard the product and assist when they run into roadblocks.
Think creatively about a wide variety of technical challenges during the pre-sales life cycle

Our Applied Science group builds the intelligence behind the marketplace. We turn large volumes of unstructured data into structured understanding, and use it to connect the right people with the right work. We are a small team with an unusually large surface. We own the full path from raw data to production AI systems, and we are actively expanding what that platform can do. In this role, you will design, build and operate AI systems that run continuously in production: large volumes of unstructured data in, models and pipelines in the middle, structured signal that teams across us build on back out. The scope runs from data pipelines and retrieval infrastructure through to model quality, evaluation and cost. This is a hands on senior role, and you will help define how these systems get built here rather than inherit someone else's answer.
What am I going to do?
* Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
* Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
* Build the retrieval and serving layers that make our data usable in real time.
* Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
* Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
* Build agentic workflows that makes the whole team faster, and help set the standards others work to.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

Required Staff AI Support Engineer (AgentiX Support - Cortex)
Your Career
Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications?
Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (Co-Pilot). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity.
Your Impact:
Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions.
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability.
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps.
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source.
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development.

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.

We are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

Join research team to develop the next generation of multimodal video diffusion models and bring cutting-edge research into real-time products used at global scale.
About the Team:
Our research team is small, fast-moving, and highly impactful. We develop multimodal generative models for real-time video creation, turning cutting-edge research into scalable products.
We are looking for researchers with deep expertise in generative video to join a team at the core of technology and help shape the future of generative AI.
Why Work ?
Work on cutting-edge video-generation technology at the forefront of AI.
See your research become part of products used at global scale.
Own meaningful research and engineering challenges as part of a small, high-impact team.
Help solve complex problems in real-time video generation.
Build technology that brings the next generation of AI assistants to life.

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts.

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.

Drive excellence, code quality, and best development practices.

Provide technical direction and hands-on guidance for complex AI systems.

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.

Ensure AI solutions are safe, scalable, observable, and continuously improving.

Lead initiatives around product data analysis and experimentation.

Analyze user interactions with product features to improve accuracy, UX, and business impact.

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.

Design system architectures for AI-enabled applications at scale.

Evaluate and select technologies for AI platforms and data pipelines.

Guide the development of prompt engineering frameworks and centralized prompt management.

Ensure robust monitoring, evaluation, and feedback loops for AI outputs.

Translate product and business goals into technical roadmaps and execution plans.

Drive alignment between AI capabilities and measurable product outcomes.

We are looking for a brilliant, curious and creative Senior Full-Stack Engineer with a passion for data thats ready to take on a huge opportunity to solve tax, and save people time and money. If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.

Key responsibilities

Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people.

Work closely with the product & UX to define product requirements and execute the development plans.

Design system architectures, select/ evaluate tools.

Build cloud-native microservices.

Mentor, and grow the team, our practices, and our technology stack.