דרושים » תוכנה » R&D Architect Director

We are looking for an engineer who can take ownership of a solution from understanding the business problem through production delivery and continuous improvement.
AI-assisted development tools are a core part of how you work. You use them daily, critically, and effectively to improve the quality and speed of software delivery.
You will report to a Domain Architect and work closely with senior engineering, product, and business leaders on AI initiatives and other high-impact challenges.
You will contribute across the full lifecycle: problem definition, solution design, implementation, evaluation, deployment, monitoring, and production support.
What youll do:
Own the full loop - understand the problem, define the solution, architect it, ship it, monitor it. No one hands you a spec
Build with AI as your primary tool - Claude Code, Cursor, whatever gives the most leverage; do in a day what used to take a team a week
Co-design with stakeholders and the business - decision logic, risk thresholds, success metrics
Build the evaluation harness before you ship - if you cant measure it, its not done
Own production from day one - monitoring, alerting, observability; youre on call for what you build
Raise the bar - in design reviews, in code, and in how the team works

We are looking for an exceptional Principal Product Manager to help build Core AI Platform-the trusted, scalable AI operating layer enabling Product, Engineering, and Business teams to adopt AI safely and effectively.
Reporting to the Senior Product Director, Core AI Platform, you will take part in translating strategy into concrete roadmaps and capabilities, and partner deeply with Engineering, Data, Architecture, Security, and business stakeholders to deliver reusable AI capabilities across .
This role is ideal for a senior, hands-on product manager, AI savvy, who combines technical depth, exceptional product sense, execution excellence, and the ability to drive adoption across complex organizations.
What you'll do:
The Core AI Platform enables three strategic outcomes: transforming how products are built, enabling every business function to redesign and automate workflows through AI, and creating agentic customer experiences across products.
You are not building isolated AI features for one product. You are building platform capabilities, reusable patterns, and product experiences that help teams across ship trusted AI faster, safer, and at scale.
Own the roadmap for one or more Core AI Platform areas.
Translate ambiguous business and technical needs into clear requirements, milestones, and measurable outcomes.
Define and deliver scalable, secure, compliant platform capabilities across AI infrastructure, orchestration, governance, evaluation, responsible AI, APIs, and reusable services.
Partner hands-on with Engineering, Data, Security, and Architecture to make practical build, buy, partner, and integrate calls in your domain.
Lead AI-native solutions that show how the platform accelerates product development, engineering productivity, and workflow automation.
Turn early solutions into reusable patterns, templates, and components teams can adopt.
Drive and track adoption of the tools and services you will build.

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 software engineer with strong backend skills, a product mindset, and the curiosity to bring LLM-powered agents into the toolchains and Linux environments where chips are actually designed. Success in this role means owning the agentic infrastructure end-to-end: from the platform our agents run on, to the integrations that let them safely act inside our customers' existing flows.
Description
You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

* Architect, build, and operate the agentic infrastructure our team relies on:including LLM orchestration, tool-calling layers, multi-agent workflows, and the services that host them.
* Design and implement software solutions for chip design engineers, translating their workflows into reliable, automated agent-driven systems.
* Integrate our agents and services with existing Linux-based environments, in-house tools developed by the team, and third-party EDA tools.
* Manage agentic and ML workflows in production to ensure performance, high availability, and resource efficiency.
* Deploy and maintain production services, with proactive monitoring to catch quality and infrastructure regressions before they reach users.
* Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases.
* Partner with CAD teams to integrate pipelines and agents into CI/CD, ensuring reliable deployments and safe rollbacks.
* Implement access controls, authentication, and secret-handling practices appropriate for working with sensitive design data.
* Collaborate closely with ML engineers, researchers, and our customer teams.

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 Senior Full-Stack Engineer to develop complex security capabilities and own cloud-native microservices that protect millions of enterprise workspaces globally. You will join a growing, values-driven team, contribute to our design forum, and solve hard engineering challenges.
In this role you will be:
Designing and developing complicated security capabilities to defend against evolving web-based threats, shadow AI, and native desktop data exposure.
Taking ownership of a mission-critical, cloud-native microservice architecture that safeguards millions of workspaces globally, ensuring high availability and reliability.
Developing cutting-edge capabilities for GenAI and AI usage control, integrating our cloud-native backend with browser extensions and OS-level endpoint agents.
Collaborating with cross-functional teams including DevOps, Product Management, and Security Experts to rapidly release secure, scalable code multiple times per day.

A growing early-stage FinTech startup company, building a next-generation financial platform for companies, is looking for its Founding Senior Software Engineerto join the founding team and play a key role in shaping the product, architecture, and engineering culture from the ground up.
This is a unique opportunity for a senior engineer who enjoys ownership, technical challenges, and building impactful products in a highly hands-on environment.
Responsibilities:
Design, develop, and own core features across the full stack.
Build scalable backend services, APIs, and data workflows.
Develop React-based frontend applications.
Design reliable PostgreSQL data models and ensure data integrity.
Take ownership of features from concept to production.
Collaborate with the CTO and founders on architecture and product decisions.
Contribute to engineering practices, infrastructure, and AI-assisted development workflows.

We are looking for exceptionally diverse software developers for a leading team to design and develop our flagship product.
What you'll do:
Collaborate with cross-functional teams to deliver high-quality, secure, and scalable solutions
Stay up-to-date with the latest mobile technologies and industry trends
Design and develop a cutting-edge product, with significant impact and importance
Work closely with exceptional people in our field.

We are looking for a Senior software engineer to join our SaaS platform team.
In this role, you will develop distributed cloud-native applications with a focus on scalability, availability, and security.
You will take part in designing and building microservices, operators, and backend components running on GCP Cloud Run, Kubernetes, and Linode Kubernetes Engine (LKE).
As a Senior Software Engineer, you will be responsible for:
Developing cloud-native microservices and backend components in Golang
Building and maintaining SaaS infrastructure and services for scale and resiliency
Working with GCP, Kubernetes, and Linode, including development of Kubernetes operators
Using Helm, Terraform, GitHub Actions, and other modern tooling to support deployment and automation
Collaborating with other engineers, architects, and product managers to drive features end-to-end
Taking ownership of system design decisions and contribute to the long-term technical roadmap

We are looking for an experienced Division Manager to lead the company’s ERP domain, combining business vision, technological understanding, and strong leadership capabilities. The role includes strategic and professional management of the division, leading project teams, and working closely with enterprise clients. Responsibilities:
* Manage all division activities and lead complex projects
* Lead and manage professional teams, including Project Managers, Implementers, and Developers
* Own strategic customer relationships from requirements gathering through delivery
* Manage budget, profitability, and customer satisfaction
* Drive innovation, processes, and technological integrations