לוח משרות דרושים הייטק מערכות מידע

We are looking for entrepreneurs with deep finance, fintech and ERP experience who bring strong product judgment.

This role is for people who have lived finance systems complexity firsthand and want to use that experience to build product. You might come from finance transformation, ERP, consulting, operations, or fintech. What matters is that you understand where workflows fall short, where controls matter, how better systems should work, and how product decisions create business value.

Our AI-native tools are part of how we build. This role is a chance to turn finance and ERP insight into product faster, with more context and better judgment than traditional product development allows. Youll collaborate closely with teams across the Bay Area and Israel.

What You Will Do:
Find high-value opportunities in fintech and ERP workflows that should be redesigned, not just improved.
Shape those opportunities into clear product direction with strong user and business value.
Define workflow logic, edge cases, controls, exceptions, and handoffs.
Decide what should be automated and what should remain human-driven.
Work with engineering, design, data and marketing to build and ship new capabilities.
Test ideas with customers, learn quickly, and refine fast.
Own the path from problem identification to customer value and business impact.

Required HRIS Partner
Israel: Tel Aviv/ Hybrid (Israel)
Human Resources | Full Time | Job Id: 25383
Why Join Us?
A global cybersecurity leader transforming our HR landscape to be data-driven and employee-centric. As HRIS Lead, you will own our global HR technology strategy, acting as the bridge between HR, IT, and Finance to scale our digital capabilities and enhance the user experience across our global offices.
Key Responsibilities:
Strategy & Roadmap: Define and execute a global HR systems roadmap aligned with business growth and automation goals.
System Ownership: Manage the configuration, governance, and optimization of Core HR, ATS, LMS, and payroll platforms.
Data & Analytics: Establish data governance frameworks and deliver real-time workforce analytics/dashboards for leadership.
Process Excellence: Standardize global workflows (TA, Rewards, Ops) and translate business needs into scalable system requirements.
Stakeholder & Vendor Lead: Partner with IT/Finance on security and compliance, manage vendor relationships, and lead large-scale system rollouts.

Required Oracle Business Application Analyst - Logistics module
Reports to: ERP Team Leader
Location: Afek Industrial Park, Rosh HaAyin
Oracle Business Application Analyst - Logistics module
(Career Transition Opportunity for Experienced Team leader with Oracle Background)
What will you do?
This role is designed for experienced Team leader who have worked extensively with Oracle ERP and are ready to transition into the implementation and business applications domain.
Serve as the IT focal point for Oracle Fusion (Logistics & Procurement modules), leveraging your operational planning background
Take ownership of key logistics modules within the ERP and related systems
Translate business and planning requirements into system configurations and enhancements
Lead characterization and implementation of process improvements, aligned with existing operational flows
Support the design and implementation of new logistics and supply chain processes within Oracle
Write functional and technical design documents
Perform testing (SIT/UAT) for new developments and system enhancements
Deliver system training to new users and provide ongoing enablement to global teams
Provide daily support to system users across HQ and production sites
Monitor, control, and support interfaces between Oracle and other organizational systems.

we are looking for a Data Engineer to join our growing BI team. This role goes beyond building pipelines. You will help shape our data platform as a shared product - supporting analytics, reporting, and decision-making across key company data domains such as Product, Sales, HR, and others. Your work will directly influence how stakeholders interact with data today and how the platform evolves in the years ahead.

What Youll Be Doing

Architect & Own: Lead the design and development of scalable data warehouse and BI solutions. You will make early-stage architectural decisions and own their long-term impact.
Infrastructure as a Product: Build core data infrastructure and developer experiences that others rely on, ensuring high availability and system reliability.
End-to-End ELT/ETL: Solve complex integration problems by sourcing data from structured and unstructured sources using Rivery, Python, and optimal ETL patterns.
Data Quality & Governance: Implement frameworks for schema evolution, anomaly detection, and data freshness. You will determine security models based on privacy requirements and evolve governance processes.
Strategic Collaboration: Partner with Engineers, Product Managers, and Data Analysts to conceptualize data needs and represent key insights in a meaningful way.
Optimization: Assist in owning production processes, optimizing complex code through advanced algorithmic concepts to manage operational cost-benefit tradeoffs.

our Monday.com global center of excellence and product development department is seeking an implementer in the worlds of Monday.com for the design and development of automated processes
Responsibilities:
Designing and writing requirements for clients abroad for complex business processes
Leading projects at a technical and business level
Leading extensive processes in the organization and driving a project to an excellence

We are looking for a driven Technology Implementation Specialist (Microsoft 365 & Copilot) to support the successful adoption of Microsoft 365 and AI-based productivity tools for enterprise clients. The role involves leading workshops, onboarding sessions, and user trainings as part of end-to-end implementation projects, alongside hands-on work within customer environments.
Key Responsibilities:
Lead implementation projects for Microsoft 365 and AI-based productivity tools with global clients.
Conduct discovery and needs assessment sessions to define adoption strategies and technical solutions.
Design and deliver training programs tailored to various user groups.
Deliver professional trainings, workshops, and onboarding sessions (in-person and remote) for end users, managers, and IT teams.
Create clear and user-friendly documentation, playbooks, and learning aterials.
Support clients post-implementation, helping ensure successful and sustained adoption.
Collaborate with cross-functional teams and adapt solutions to meet both technical and business needs.
Utilize low-code/no-code tools (e.g., Power Platform) to build simple agents, bots, or workflows where relevant.
Stay updated on trends and new features within the Microsoft ecosystem and modern work technologies.

looking for a Data Engineer to help build and scale our analytics data infrastructure. In this role, you will work closely with analysts and business stakeholders to design reliable data models and support the development of a centralized semantic layer used across the company.

You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.

This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.

Responsibilities

Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows

Were looking for a Microsoft Dynamics 365 CRM Administrator to lead the implementation and evolution of our Microsoft ecosystem, ensuring smooth operations, scalability, and top-tier user experience across departments.
In this critical role, youll design and administer our Dynamics 365 CRM and Power Platform systems while supporting high-impact business processes, from partner onboarding to enterprise workflow automation.
Youll work closely with stakeholders across time zones and business lines to translate needs into scalable configurations and sustainable architecture. This role offers a high degree of autonomy and influence within a mission-driven, fast-paced fintech environment
What Youll Actually Be Doing:
Own and manage the entire Microsoft stack at Cross River including Dynamics 365 CRM, Power Pages, Power Automate, Power Apps, SharePoint, Teams, and Outlook
Administer, configure, and continuously improve D365 CRM and the Power Platform suite
Lead architecture, governance, and release management for environments, CI/CD, and ALM
Provide technical support and training to users across the company
Maintain environment security, compliance (GDPR, GLBA), and disaster recovery policies
Act as a technical SME and advisor for partner onboarding processes and cross-functional solutions
Champion data accuracy and oversee documentation, data uploads, and reports
Manage solution lifecycle including capacity planning, licensing, provisioning, and telemetry
Evaluate and implement changes via configuration/customization based on evolving business needs

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build our next-generation data stack.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals