At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for for an experienced, creative and highly motivated Technical Program Manager , who has strong project management skills to join R&D department. The role requires working closely with both engineering and global teams across the entire organization.

Responsibilities:

* Plan, implement, and maintain program initiatives that adhere to organizational objectives.
* Work with various local and international stakeholders and teams to ensure successful execution of key projects, while continually finding opportunities for improvement - Address product’s deliveries and program related topic.
* Build clear communication cadences to drive progress and decision making.
* Partner with Engineering, Procurement, and Operations teams to plan and track R&D equipment needs and ensure on-time delivery to support project milestones.
* Schedule and control the CI/CD software delivery process while coordinating between engineering teams.
* Team up with relevant engineering teams responsible for building the automation tools used to develop and test the software

We are looking for a Project & Product Manager to join our team and lead end-to-end implementation, configuration, specification, and development projects for retail and ERP systems, with an emphasis on Odoo, for customers across fashion retail, supermarkets, fuel stations, and general retail.

This role combines end-to-end project management, product and business-process specification, day-to-day work with customers and technology teams, and daily use of advanced AI tools, especially Claude, to speed up specification work, document writing, requirements analysis, and even support for development, integrations, and customizations.

Your key responsibilities will include:

Project Management
Manage end-to-end implementation projects at customer sites, from kickoff through Go-Live and post-launch support - work plans, timelines, prioritization, and resources.
Track progress, manage risks, identify blockers early, and drive solutions.
Manage customers, vendors, and development/implementation/support teams; lead status meetings and follow-up on decisions and tasks.
Report ongoing status to management and customers: progress, risks, gaps, and action plans.

Product & Business Process Specification
Lead specification with customers: business needs, current-process mapping, and future-process planning.
Write BRDs, PRDs, user stories, process docs, and functional specs, translating complex requirements into clear, actionable solutions that balance customer needs, system constraints, product, and dev capacity.
Specify loyalty processes (benefits, coupons, point accrual/redemption) and their impact on POS, ERP, promotions, and reporting.
Partner with development/implementation to ensure the built solution matches spec; support testing, UAT, customer validation, and Go-Live prep.

Working with Advanced AI Tools
Use Claude and other AI tools daily to draft documents, break down requirements, build user stories and work plans, and analyze processes.
Use Claude to support development of customer solutions - automations, integrations, reports, workflow and configuration changes.
Write strong prompts, validate outputs professionally, and use AI critically - as an accelerator, not a substitute for judgment.

We are looking for a Project Manager to join our team and take full ownership of customer-facing projects - from sale to delivery.

This role sits at the intersection of Sales, Delivery, R&D and Operations, ensuring that every customer project is delivered on time, within scope, and with full alignment across teams.

This is a role with real ownership, visibility, and impact on the companys success.

Requirements
What Youll Do

Own end-to-end project management for customer deliveries - each sale is treated as a standalone project
Be fully aware of customer delivery timelines and milestones, and ensure alignment with internal teams
Work closely with Sales and Delivery to deeply understand what was sold to the customer, including product configuration and scope
Coordinate with R&D to understand the current status of relevant development efforts and translate them into operational and delivery requirements
Bridge gaps between R&D, Operations, and Delivery to ensure feasibility and timeline accuracy
Build and manage detailed project plans (Gantt charts) for each project and continuously track progress
Identify risks, gaps, and dependencies early and proactively drive solutions
Gain deep familiarity with all product BOMs, required components, and operational needs
Monitor timelines, follow up on execution, and ensure on-time delivery to customers
Collaborate closely with R&D, Operations, Sales, and Delivery teams

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Project Manager to join its Core Systems Development team.
Role Description:
Manage and track the progress of software development projects from initiation to delivery
Coordinate and align activities across development, infrastructure, and implementation teams
Support testing processes and production releases (go-live)
Lead knowledge management and maintain comprehensive project documentation
Gather information and prepare responses for RFPs, tenders, and SOC audits
Ensure smooth communication between stakeholders and technical teams
Identify risks, resolve issues, and ensure timely project delivery

Required Technical Project Manager
As a Technical Project Manager, you will:
Plan, manage and lead complex technological projects to ensure solution delivery within the required standards
Define, improve and implement organizational processes and procedures in an agile environment
Act as a central point of contact for internal and external stakeholders, ensuring alignment across scope, schedule and quality expectations
Building work plans: milestones, timelines, dependencies and risks
Foster a culture of innovation, continuous improvement and technical excellence
Coordinate work across multiple technology teams
Manage the status of ongoing projects, identify blockers and drive solutions
Ensure processes and action plans are in place to meet predefined goals.

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

we are looking for a Backend Developer (C# or Java).
By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Location: Herzliya-Glilot
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.