we are looking for a passionate and detail-oriented Product Owner & Engineer to join our team. In this role, you will collaborate closely with development teams to define new features, contribute to functional requirement documentation (FRD), and ensure seamless UX design and implementation.
A core part of this role is maintaining close alignment with customers. You will actively engage with customers, gather feedback, understand real-world use cases, and translate their needs into clear product requirements. You will work closely with Support and QA to ensure our testing strategy and supportability reflect actual customer environments and workflows.
Beyond core development, you will assist in critical escalations, manage complex or high-visibility installations, and develop tools that enhance the overall user experience. You will leverage telemetry data, production insights, and direct customer feedback to continuously refine and improve our products, ensuring they deliver measurable value in real-world deployments.
Key Responsibilities
Collaborate closely with Product and Engineering teams to define, refine, and prioritize features that directly address real customer needs and business impact.
Translate customer requirements and field insights into clear, structured Functional Requirement Documents (FRDs), while actively contributing to UX discussions to ensure intuitive and seamless user experiences.
Work closely with QA and Support to align testing strategies and troubleshooting workflows with real-world customer environments, ensuring reliability, operability, and supportability at scale.
Serve as a technical and product focal point during critical customer escalations and high-visibility deployments, ensuring timely resolution and long-term improvements
Develop tools and scripts to enhance user experience and operational efficiency.
Leverage telemetry, usage analytics, and direct customer feedback to drive data-informed decisions and continuously improve product performance and adoption.
Proactively identify risks, gaps, and cross-team dependencies, removing roadblocks to ensure successful delivery and measurable customer outcomes.

we are looking for a company On Cloud - Customer Success Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is at the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market." - Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality, and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
As a company On Cloud - Customer Success Engineer, you will be regarded as a company Data technical expert specialized in deploying, supporting, and optimizing our enterprise platform within cloud environments. You will be a vital part of the company "Flight Crew" for our customers, working closely with a dedicated team of Support Engineers and Success Managers to manage all post-sales activity and ensure maximum adoption.
Your focus will extend beyond traditional support into active customer success-helping clients design, automate, and navigate hybrid and multi-cloud architectures. You will use your deep cloud-native expertise, hands-on troubleshooting skills, and client-facing mastery to help customers successfully run the company AI OS across the world's leading public and private cloud platforms.
Key Responsibilities
Deploy & Maintain: Deploy, configure, and maintain cloud services and infrastructure components in customer public and private cloud environments.
Build Trusted Relationships: Develop deep, technical, and trusted relationships with customers based on technical excellence, a customer-first mindset, and your command of the company On Cloud product portfolio.
Automation & IaC: Contribute to cloud automation and orchestration efforts using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) and scripting (e.g., Python, Shell).
Cloud Operations & Observability: Understand and regularly interact with each cloud provider's native monitoring, logging, dashboards, and observability tools, alongside infrastructure monitoring tools (e.g., Grafana, Prometheus).

we are looking for a Technical Solution Architect to join our Solutions team. In this role, you will work closely with customers, Sales Engineers, Product, and Engineering to deliver successful Proofs of Concept (POCs) and solve complex technical challenges.
Everyone at our company is a builder. In this role, youll contribute directly to the company platform by building product features, developing proof-of-concepts for customers, and creating internal tools that improve, streamline, and accelerate the POC process.
This is a highly hands-on position for someone who enjoys diving deep into customer environments, working with data, building technical solutions, and creating value beyond the product itself. You'll play a key role in helping enterprise customers realize the full potential of our AI security platform while influencing product direction through real-world customer feedback.
What You'll Do
Lead the technical execution of customer Proofs of Concept (POCs), from initial design through successful delivery.
Partner with Sales Engineers to provide deep technical expertise throughout the sales cycle.
Build tools to accelerate deployments and demonstrate customer value.
Participate in customer workshops, architecture discussions, and live debugging sessions.
Analyze raw customer data to uncover insights and validate platform capabilities.
Design creative technical solutions that address customer use cases, even beyond the platform's out-of-the-box capabilities.
Troubleshoot complex technical issues across customer environments and work closely with Engineering to resolve them.
Collaborate with Product and R&D to communicate customer feedback and influence future product capabilities.
Build technical best practices, reusable assets, and implementation playbooks to improve future deployments.
Serve as a trusted technical advisor throughout the customer journey.

Were looking for our first Forward Deployed Engineer (FDE) to join our company and help build this function from the ground up.
This is a highly technical, hands-on, and customer-facing role. Youll be based in Israel, working closely with our Product and Engineering teams, while traveling regularly across the U.S. to work on-site with our enterprise customers.
Youll work directly with customers to understand their business processes, technical environments, and operational challenges, and translate them into AI-powered solutions. Youll own projects end-to-end - from discovery and requirements gathering through technical design, development, deployment, adoption, and continuous improvement.
As our first FDE, youll have a unique opportunity to define how our company works with customers from a technical perspective, build the processes and best practices for this function, and play a key role in how we scale customer delivery.
Were looking for a strong engineer with a product mindset who enjoys navigating ambiguity, working directly with customers, and turning complex business problems into scalable technical solutions.
our Values
Ownership - We take responsibility and move decisively.
Clarity - We simplify complexity to deliver meaningful impact.
Accuracy - Precision matters in everything we do.
Velocity - We move fast and execute with purpose.
Partnership - We succeed by working closely together.
What Youll Do
Partner directly with enterprise customers, both remotely and on-site across the U.S., to deeply understand their business processes, technical architecture, data flows, and operational challenges.
Lead technical discovery sessions, gather business and product requirements, and translate complex customer needs into scalable AI-powered solutions.
Design, build, configure, and deploy production-ready AI agents, integrations, and workflows that operate reliably within customer environments.
Work hands-on with APIs, enterprise systems, structured and unstructured data, and customer infrastructure to deliver end-to-end solutions.
Own customer engagements from technical discovery through implementation, deployment, adoption, and continuous optimization.
Validate solutions using real customer data, troubleshoot technical challenges, and continuously improve system performance and business outcomes.
Drive measurable business impact by identifying new use cases, increasing platform adoption, and helping drive growth and expansion within customer accounts.
Work closely with Product and Engineering in Israel to influence product direction based on customer feedback, implementation learnings, and real-world use cases.
Act as the technical owner throughout the customer engagement, building trusted relationships with both technical and business stakeholders.
Create reusable implementation playbooks, tools, and best practices that help scale the FDE function as our company grows.

we are looking for a AI Solution Engineer.
The AI Solutions Engineer plays a critical, high-impact role in scaling our clinical AI solutions and ensuring the ability to deploy high quality products, monitor and support them in production.
This position requires strong software and data engineering skills to elevate our operational systems.
You will be responsible for independently driving complex E2E projects, demonstrating flexible thinking and making cost-effective decisions while balancing quality versus speed.
You will serve as a vital technical bridge, forming strong collaborations with both the R&D and Product organizations. Success in this dynamic and fast-driven environment demands a focused "getting things done" and "can-do" attitude to deliver value with speed and quality.
Responsibilities:
Automate and streamline AI operations - develop tools to automate AI deployment, data validation, and reporting for smooth production integration of AI solutions built by our research teams.
Act as the production technical expert - collaborate with Product and R&D teams during feature design to ensure production feasibility, scalability, and operational excellence.
Lead end-to-end tool development - gather requirements, design, implement, and deploy operational tools and pipelines in collaboration with cross-functional teams.
Drive engineering quality and play a key role in team member mentoring - uphold and develop engineering standards while fostering innovation.
Investigate and resolve complex data challenges - analyze and address production data issues, including data quality, availability, performance anomalies, and integration challenges.
Collaborate with customer-facing teams - understand real-world operational challenges, develop scalable solutions, and bridge the gap between customer needs and AI system behavior.
Ensure ongoing AI model reliability - design and implement mechanisms for monitoring data and performance degradation, and maintaining long-term model effectiveness.
Develop monitoring and analytics frameworks - create metrics and dashboards to track production health, data integrity, and AI performance across the deployment lifecycle.

We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.

Were looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day to day of a Product Data Science Customer Facing (Data Labs) look like:

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

As the Implementation Manager for our Spend Team, you will own the end‑to‑end delivery of complex Spend and corporate card implementations that bring our global spend management products to life for enterprise and high‑growth customers across EMEA. You will turn agreed business requirements and solution designs into actionable implementation plans, orchestrating cross‑functional teams and external stakeholders to deliver on time, on scope, and to a high quality bar.

Youll sit at the intersection of Sales, Merchant Services, Solutions Engineering, Product, Operations, Risk and external partners (e.g. networks, processors, manufacturers), ensuring that every phase from pre‑sale through go‑live and early spend activation runs smoothly.

This role is based in Tel Aviv (4 days in office), with implementation coverage across EMEA.


Responsibilities:

Act as a trusted technical advisor to customers and internal teams on high-value implementations and expansions, shaping integration approaches, system configuration, and overall solution design.

Partner with activation / onboarding and account management teams to translate customer requirements into scalable architectures, particularly where ERP, HRIS, and API integrations are core to the rollout.

Work with sales teams on technical discovery to understand customer systems, data flows, and workflows, and recommend a best-fit integration blueprint, including when and how to leverage APIs and third-party connectors.

Work hands-on with customers to troubleshoot integration hurdles and guide them through complex configuration decisions, focusing on designing robust, maintainable implementations rather than writing code directly.

Serve as a subject matter expert on the broader integration ecosystem (e.g. HRIS and accounting partners), collaborating with Sales, Product, and partners to close gaps and improve integration coverage.

Create and maintain internal documentation, playbooks, and lightweight tooling that make it easier for the wider team to support integration-heavy use cases at scale.

Channel customer pain points and integration feedback into Product and Engineering, influencing the roadmap and prioritisation of features that materially improve implementation outcomes.