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We're looking for a Production Operations Engineer to join our fast-growing company at a breakthrough stage, as we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality, innovative solutions with the latest technologies - and we never forget to enjoy the ride along the way!
This is a role for someone who owns production stability end to end and knows that the best fixes often happen through other people. You won't be the one writing every manifest or resolving every incident yourself - you'll be the one who sees what production needs, sets the direction, and makes sure R&D teams follow through.
What You'll Be Doing:
Owning production stability: Act as the go-to person for the health of our production environments, proactively identifying risks before they become incidents.
Owning the incident process: Make sure incidents are properly tracked, follow-ups are driven to completion, and R&D teams write and own their postmortems - turning lessons into lasting improvements rather than letting them slip.
Driving change across R&D: Partner with engineering teams to define the reliability and operational improvements production needs, and make sure they get prioritized and implemented.
Raising the operational bar: Champion production-readiness standards, define SLOs and error budgets, and build a culture where teams own the reliability of what they ship.
Connecting the dots: Communicate clearly with stakeholders across R&D and leadership, translating between technical detail and business impact.

We are looking for an experienced Senior Product Manager to own Runtime domain - the core engine that powers millions of workflow executions for security teams worldwide. We seek an experienced, curious, self-motivated product manager to join our team and lead our events pipeline, orchestration, and execution infrastructure.

What Youll Be Doing

Become an expert in all runtime aspects - events pipeline, orchestration, execution, Runners, and the infrastructure that powers them
Own the end-to-end Runner experience - deployment models, resource management, connectivity, and troubleshooting
Perform customer research and technical deep-dives to understand scale requirements, reliability needs, and pain points
Analyze customer escalations to identify patterns and translate them into actionable engineering requirements
Make critical decisions with respect to architectural trade-offs, reliability, performance, and quality to meet business objectives
Work closely with engineering to define, develop, and launch new runtime capabilities across our distributed execution layer

We are looking for a Hands-On Agentic AI Engineer (Information Systems Team) to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.

The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.



Responsibilities:

Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations

We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic.
This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path.
The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams.


Responsibilities
Build and lead Catos AI Platform team: hiring, mentoring, architecture, technical direction, and execution.
Own the AI security runtime platform for high-throughput, low-latency inline security decisions across Catos global cloud and PoPs.
Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.
Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Define the long-term platform strategy for AI runtime and model serving at Cato.

We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.

You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.

This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.




What youll do
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

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 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 Tipalti's 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 Director of Product Management.
As a Director of Product Management, you will lead a core product group spanning both our Accounts Payable (AP) Automation and high-scale Mass Payments (MP) domains. You will directly manage a team of 4 Product Managers- guiding domain owners across core AP finance workflows, as well as high-scale payout platforms, APIs, and end-user onboarding experiences exposed to hundreds of millions of payees globally.
As a Director of Product Management, you will be responsible for:
Inspire, lead, and develop a team of 4 product managers.
Lead a product line: Define and develop a product roadmap for both AP Automation and Mass Payments business lines, defining clear roadmaps that balance customer needs, enterprise finance workflows, API scalability, 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.

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI.

What youll do
Own and run major features and subsystems end-to-end - youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll be comfortable shifting between how do we deploy this reliably to how does the user experience this.
Drive team culture of ownership, craftsmanship, iteration and delivery: were not just about shipping features but owning the outcome, learning fast, and improving continuously.
Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking.

We're looking for a hands-on Engineering Manager to lead a team of senior engineers owning this space end-to-end, from integration design through production ownership. You'll have real autonomy, a direct line from your team's work to customer outcomes, and room to shape how a technically deep domain is built and run.
What you'll own:
Lead and grow a team of engineers, creating clarity on priorities, raising the technical bar, and building real domain ownership
Own execution end-to-end: integration architecture, technical design, delivery predictability, and the operational health of systems that sync critical financial data at scale
Drive reliability and data correctness, strong debugging and sound judgment around sync semantics, idempotency, error handling, and recovery, plus calm decision-making when something breaks in production
Make sure your engineers understand the business and the ERPs behind the systems, the financial flows and edge cases, not just the code
Translate business goals and the realities of messy, heterogeneous ERP systems into pragmatic technical plans
Partner closely with Product, Operations, Support, and other engineering teams to deliver integrations that balance customer impact, time-to-value, and quality
Coach engineers through feedback, mentoring, and high standards

Were looking for a Senior Automation Engineer to join our Automation team. As a member of this team, you will be responsible for the design, implementation, and maintenance of automated tests and infrastructure using our Java-based framework. Our Automated tests cover various aspects of the security product, including complex networking topology, traffic, security rules, Users authentication scenarios.


Responsibilities

Design, develop, and maintain automated tests for complex, multi-layered systems using our Java-based framework
Drive initiatives to enhance automation infrastructure and tools to support seamless development and testing workflows.
Define, build, and maintain automation infrastructure, frameworks, and reusable libraries, to improve test execution reliability, reduce flakiness, shorten feedback loops, and increase confidence in automation results.
Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation
Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution
Enable QA automation engineers and developers with reusable components, templates, tools, dashboards, CI/CD integrations, and best practices.
Translate automation data into actionable insights for automation engineers, developers, product teams.
Identify gaps and develop tools and solutions to improve automation efficiency, stability, and scalability
Collaborate with development, product, and cross-team automation groups to ensure high-quality delivery and unified standards

we are looking for a Cyber Security Support Engineer.
As a Cyber Security Support Engineer, you will be responsible for answering customer tickets, investigating problems and working with the relevant teams to resolve them, checking and validating findings and vulnerabilities found in the system, and supporting the customer success team with issues of customers.
Work Days: Monday-Friday:
Resolve product or service issues by understanding the customers request/claim, determining the cause of the issue, selecting and explaining the best solution, expediting the correction or adjustment, and following up to ensure a satisfactory resolution.
Work on complicated problems and come up with a resolution.
Collaborate directly with R&D, Product Management, and Security Research to address product bugs and improve product design for long-term supportability.
Access Management - Check and validate new users and access levels.
Maintaining our knowledge base and AI information data.
Lead initiatives to optimize support team workflows, tools, and processes to significantly boost productivity.
Support and manage the continuous systems that associate domains and IPs to our customer companies.

Were looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks.

Responsibilities:
End-to-end development, from processing large-scale data to building intuitive web interfaces
Designing and implementing data pipelines, analytics, and insight-driven features
Developing backend services with a focus on performance and scalability using C/C++ and Python
Contributing to frontend development and overall system integration
Implementing and testing network security enterprise solutions
Conducting research and prototyping new features and product ideas
Exploring new technologies and integrating them into the product
Driving a data-driven approach to product and engineering decisions

We're looking for an experienced and passionate ML Engineering Team Lead to lead our ML Engineering team and shape the next generation of our AI infrastructure. This is a hands-on leadership role where you'll combine technical leadership, software architecture, and people management to build scalable, production-ready AI systems running on edge devices.
About The Role:
Lead, mentor, recruit, and grow a team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Own the team's technical roadmap, architecture, execution, and project prioritization, aligning delivery with business goals.
Design, build, and maintain scalable software and ML infrastructure across cloud and edge environments.
Partner with AI Researchers to productionize Computer Vision and Deep Learning models into reliable, high-performance systems.
Design and optimize inference pipelines with a focus on scalability, latency, and reliability.
Drive engineering excellence through architecture reviews, code reviews, development best practices, and modern AI-assisted engineering workflows.

We're looking for a product-minded Full Stack Engineer who loves solving complex engineering challenges and building AI-powered products used daily by thousands of shoppers worldwide.
You'll work side-by-side with AI tools and cutting-edge computer vision technology, shipping features end-to-end with real ownership and impact.
You'll collaborate not only with engineers, but also with AI-powered development tools as part of your daily workflow.
About The Role:
Own features end-to-end - from product discussions through design, implementation, testing and production.
Design scalable backend services and intuitive frontend experiences.
Collaborate closely with Product, Data, Algorithms and Computer Vision teams.
Use AI-assisted development tools to accelerate delivery while maintaining high engineering standards.
Continuously improve system architecture, performance and developer experience.
Investigate complex production issues and drive long-term solutions.
Contribute to technical decisions and architecture discussions.