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We're looking for a Technical Product Manager to own the next chapter of that product: keeping our real-time depth unmatched while bringing agentic AI, automation, and proactive remediation into the virtual desktop world.
This role is for someone who has lived in EUC - who knows why a logon takes 90 seconds, what a broker actually does, and why "it's slow" is the hardest ticket in IT. You'll work with customers who are among the most technical in our base and who will tell you exactly what's wrong. Your job is to turn that into a product they love, not just tolerate.
What Youll Own:
Own the VDI roadmapend to end - discovery, definition, delivery, and adoption - as an integrated part of the ONE platform
Go deep with customers and the community. Run discovery with VDI and EUC admins, join escalations, and translate raw operational pain into prioritized product decisions
Define how AI shows up in VDI.Partner with the Pulse AI team to bring anomaly detection, root-cause analysis, and automated remediation to virtual desktop workloads
Own the ecosystem.Track platform and API changes across Citrix, Omnissa, Microsoft AVD, Parallels, and the hypervisor layer (Broadcom/VMware, Nutanix, Microsoft, XenServer), and make sure we're ready before our customers are
Lead competitive and market analysisin DEX, VDI monitoring, and endpoint management - and turn it into differentiation, not feature parity
Write clear, testable requirementsand detailed specs, and stay close to Dev and QA through the entire cycle
Own product quality and reliability as a first-class outcome, including upgrade experience, backward compatibility, and how we handle customer-reported defects
Drive go-to-marketwith Marketing, Sales, Sales Engineering, and Support - enablement, positioning, launch, and adoption tracking
Make decisions with evidence.Use telemetry, usage data, and customer feedback to test hypotheses and iterate

Were looking for a Project Manager to join our Product & R&D Operations team and help drive some of our most strategic and complex initiatives.
You will lead a high-visibility, cross-company program involving Product, R&D, Security, IT, Legal, and other business stakeholders. Your role will be to bring structure and clarity to the program, build and maintain the execution plan, manage dependencies and risks, and keep stakeholders aligned around shared milestones.
Alongside this key program, you will lead additional projects and help improve operational processes across Product and R&D.
You dont need to be a technical or security expert. Were looking for someone who is curious, learns quickly, asks the right questions, and feels comfortable facilitating conversations between subject-matter experts.
What Youll Own:
Lead Complex Cross-Functional Programs: Build and manage project plans, timelines, milestones, dependencies, risks, and decision-making processes.
Drive Product & R&D Initiatives: Lead strategic projects involving Product, Engineering, and other business functions.
Create Structure and Momentum: Turn broad goals and complex requirements into clear workstreams, ownership, deliverables, and next steps.
Coordinate Diverse Stakeholders: Bring together technical and non-technical teams, facilitate productive conversations, and ensure everyone remains aligned.
Track Risks and Dependencies: Proactively identify blockers and gaps, coordinate mitigation plans, and escalate issues when needed.
Provide Clear Visibility: Deliver concise updates on progress, decisions, risks, and upcoming milestones to stakeholders and leadership.
Improve Processes: Identify opportunities to simplify workflows, strengthen cross-team collaboration, and introduce scalable ways of working.
Use AI to Support Execution: Apply AI tools to help create and maintain roadmaps, project plans, Gantt charts, status updates, meeting summaries, and workflow automations.
Drive Follow-Through: Ensure that decisions and action items are documented, assigned, and completed.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
‍Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.‍‍
‍ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
‍Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.‍
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

We are seeking a motivated and detail-oriented Implementation Associate to join our dynamic team. As an Implementation Associate, you will play a crucial role in ensuring the successful implementation of our products. You will work closely with the implementation managers to ensure a seamless workflow. Your ability to understand fast and well the product, with your quick transition between the different programs we are working on, and your flexibility to juggle multiple tasks - will be an essential key for success.

Responsibilities
Collaborate with the Implementation Managers to plan and execute implementation projects, including review of the Implementation managers work (UI).
Preparation of different program materials for the client.
Work with/in the companys internal configuration platform.
Ensure the delivered solutions meet the highest quality standards and align with the companys best practices.

we are looking for a Senior Full Stack Engineer to join our Engineering team. In this role, you will lead the design and development of end-to-end features across our gifting platform, with a strong focus on backend architecture. Youll play a key role in shaping scalable systems, driving technical decisions, and delivering high-impact solutions in a fast-growing, cloud-based SaaS environment.
Working with modern technologies such as React, Node.js, TypeScript, Serverless architecture, and Kafka, you will collaborate closely with product, design, and data teams to build reliable, performant, and user-centric experiences. You will also help evolve our engineering standards, development processes, and use of emerging tools-including AI-to improve team productivity and product quality.

we are looking for a Senior Software Engineer (DevOps).
As a DS DevOps software engineer, responsibilities include creating services to accelerate, secure, and automate DS Software Development Life Cycle processes. Tasks involve working with cloud environments, integrating open-source solutions, and -developed systems. Engagement spans cloud provisioning, network connectivity, Kubernetes deployment, performance, availability, and security. This role offers exposure to innovative technologies, global collaboration, and shaping company-wide processes and solutions.
As a DevOps, you will be responsible for:
Provisioning Cloud resources using Terraform/OpenTofu and implementing secure Kubernetes services.
Deploying, monitoring, and logging Kubernetes workloads using GitOps tools such as ArgoCD, Jenkins, Grafana, Prometheus
Planning and building highly available services and disaster recovery architecture frameworks
Cooperating with engineering support to troubleshoot complex problems across different specializations
Working through all software release stages in both development and production environments

As an Associate Product Manager, you will work with Product Managers in making key product decisions, conducting market research and competitive analysis, delivering product demos, and knowledge transfer activities.

This is an opportunity to join entry level Product Management position

Key Responsibilities
Conduct Market fit and competitive research in support of new product initiatives as well as ensuring a strong market position for existing offerings.
Prepare & deliver clear, compelling presentations to customers, colleagues, and superiors
Communicating effectively with key stakeholders and other members of the organization.
Lead our demo environment, used to showcase the value of the company Orchestration Suite
Seek out and interpret user feedback and market research data to guide product development.
Collaborate closely with a diverse group of stakeholders and meet with clients to maintain an on-the-pulse knowledge of our users and the use cases that drive their successful outcomes.
The ideal candidate will have strong technical skills, strong network security background, leadership skills and passion to make an industry-wide impact

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads

We are seeking a dynamic Account Executive who excels at both hunting new logos and expanding existing accounts. The ideal candidate pairs a genuine curiosity for technology with a relentless drive to win and the sophisticated relationship skills needed to navigate complex, enterprise organizations.

Location: Tel Aviv (Hybrid, 3 days a week on-site)
What your day looks like:
Own and run multiple, full new-business sales cycles, from prospecting through close

Own a select portfolio of existing accounts-drive renewals; uncover upsell and cross-sell opportunities; and deliver consistent value through the company platform

Build and maintain strong executive and technical relationships across your accounts

Accurately forecast quarterly revenue, renewals, and new pipeline

Partner with Customer Success Engineering and Product teams to ensure customers achieve technical success

Take initiative: advocate for the customer, anticipate their needs, and move deals forward without waiting
to be asked.

Our mission is simple: help our customers grow their top-line revenue by leveraging the massive sales networks, programs, and brand power of the hyper-scalers.
What Youll Do:
Design and build the full architecture of an Agentic Platform
Own end-to-end development - from infrastructure to user-facing features
Work across multi-cloud environments (AWS, GCP, Azure)
Deeply integrate AI tools and models (OpenAI and others) into the core product
Make independent architectural and product decisions with high autonomy

We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv.
This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company.
What Youll Do:
Design and build reusable AI platform capabilities used across multiple products.
Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities.
Design and build internal AI platforms such as organizational knowledge (Brain), AI developer tools, autonomous engineering workflows, and shared AI services.
Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform.
Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities.
Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment.
Build and operate production AI services using modern cloud-native technologies.
Improve the reliability, scalability and observability of AI systems.
Define engineering standards, reusable patterns and best practices for AI development across engineering teams.
Lead technical proof-of-concepts and drive adoption of innovative AI technologies.
Mentor engineers and provide technical leadership on complex AI initiatives.

we are looking for a Backend Team Lead.
As a Backend Team Leader , you will lead a team of backend and MLOps engineers that owns the systems behind our AI-driven product features. Your team works closest to our AI group - the Algorithms and Data teams - and owns the engineering side of turning models into reliable production capabilities.
Concretely, that means owning real backend architecture - the services and APIs that carry AI-driven capabilities into the product, the data collection pipelines that feed model training, the storage and query layers that hold model outputs and the insights we derive from them, and the validation pipelines that let us trust production flows. You will make the core design decisions on service boundaries, data models, event flows, and scale and cost tradeoffs, in a domain where both the data volume and the correctness bar are high. You do not need to arrive as an ML expert. You do need to be the kind of engineer who walks into an unfamiliar domain, learns it properly, and starts making good decisions in it.