לוח משרות דרושים ראש צוות פיתוח עבודה היברידית, לחיפוש זה נמצאו 17 משרות

we are seeking a skilled Team Lead - R&D to join its expanding R&D department.
The company specializes in utilizing AI and big data to analyze electronic components during the assembly process to identify faulty and counterfeit components.
Responsibilities:
Lead and mentor a team of R&D software engineers, fostering innovation and technical excellence.
Develop and maintain high-performance applications in Python and other backend languages.
Take ownership of key development projects, tools, and processes, ensuring efficiency and scalability.
Optimize applications for improved performance, memory management, and real-time processing.
Collaborate with cross-functional teams to integrate complex algorithms and logic seamlessly.
Work closely with the R&D management team to align development efforts with company goals.
Work with cloud-based and on-prem infrastructure and contribute to scalable microservices architecture.
Debug and resolve complex software issues to maintain high system reliability.

We're looking for a Senior Team Lead to own two things at the core of our product: the data-pipeline infrastructure that ingests and processes web data at scale, and the agentic AI system that generates Extraction Templates - the mappings that turn any webpage into structured data.

You'll lead a team of 6 engineers spanning Backend, Full-Stack, and AI - coaching, managing, and hiring across both disciplines while staying hands-on, not just directing from a distance. Exceptional internal leadership and people skills are a must: clear communication and real ownership of team health, not just delivery.

What Youll be Doing:

Data Pipelines at Scale
Own end-to-end architecture and delivery of our data-pipeline infrastructure - from system design to large-scale data flow, storage, and operations - already running in production for Fortune 500 customers.
Continuously analyze and improve the efficiency, scalability, cost, and stability of pipeline components as volume grows by an order of magnitude or more.
Design and implement supporting interfaces (Skills, Plugins, MCP, UI, API) and platform engineering where needed to deliver pipeline capabilities end-to-end.
Partner closely with the Product and Delivery team to define and prioritize the right pipeline solutions.

Agentic Generation of Extraction Templates
Bring deep, hands-on expertise in LLMs, agentic architectures, evaluation/benchmarking, and modern AI/LLMOps practices; make build-vs-buy and architecture calls with authority.
Grow the team's AI capability day to day: actively promote and mentor AI-native development practices.
Continuously improve the Extraction Template generation capability's coverage, accuracy, and scale.

This position is a unique hybrid of a hands-on technical developer & leader with a highly analytical developer focused product manager.

Key Responsibilities:

~50% hands on development

Work together with your manager, other engineering managers, service owners and champions from various teams to understand their pains and prioritize the teams tasks accordingly.

Lead a team of engineers with a computer science background, keep their vision focused and aligned with management, teach them how to lead projects effectively, collect feedback and give good service to the engineers of the company.

Build decentralized ecosystems that are very easy to contribute to with vibe coding (Backstage, CLI tools, Microservice templates, Self Service, HELM Charts values, etc).

Drive high-impact, multi-team technical initiatives from ideation to delivery by establishing clear technical standards, defining trackable compliance metrics while securing the buy-in of other engineering leaders.

Lead Kubernetes (K8s) initiatives.

Manage research of cutting edge cloud native technologies.

we are looking for a Product Support Engineer, Team Lead.
As a Product Support Team Lead , you will play a critical leadership role within our Product Support organization, reporting directly to the Director of Support Engineering. In this role, you will lead, mentor, and develop a team of Product Support Engineers while serving as a senior escalation point for complex customer issues.
You will combine strong technical expertise with people leadership to ensure exceptional support experiences for our customers. You will drive operational excellence, oversee escalated cases, contribute to process improvements, and partner closely with cross-functional teams to support ' identity security solutions.
The ideal candidate brings a deep technical background, knowledge of Active Directory and identity technologies, proven leadership experience, and a passion for helping both customers and team members succeed.

Required Data Engineering Manager
Data, Ramat Gan, Israel (Hybrid)
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities:
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

We are looking for a AI-Driven 4G PHY SW Tech Lead to work on the architecture, implementation, and real-time optimization of the LTE Layer 1 (PHY) software stack. You will be a technical authority for the domain, working across MAC, System, Integration, QA, and Product Management to deliver carrier-grade Open RAN solutions. A core part of the role is advancing how the team applies AI and agentic software development to a large, high-performance codebase, accelerating design, debugging, and delivery.
What you will do:
Lead the design, development, and evolution of the LTE Layer 1 (PHY) software stack.
Drive PHY features end to end: architecture, implementation, optimization, testing, and production support.
Drive performance optimization, debugging, and root cause analysis for carrier-grade real-time reliability.
Shape the software architecture and technical roadmap of our Open RAN platform.
Mentor engineers, set the bar for engineering practice, and partner with MAC, System Engineering, Integration, QA, and Product Management.
Apply agentic software development and LLM-based workflows, and evaluate new tools as they emerge.

We are looking for an experienced AI Engineering Manager to lead our AI team within R&D and drive the development and integration of AI capabilities across our RAN product portfolio.
The team works on production-focused AI solutions, including agentic AI for network operations, AI-driven optimization and automation, technical assistants, and automated root cause analysis. In this role, you will combine technical leadership, people management, and execution ownership to take AI initiatives from concept through productization and measurable impact.
You will define the technical direction and roadmap, lead and grow a multidisciplinary team of AI/ML, software and domain engineers, and work closely with R&D, Product, Systems and global teams to bring scalable AI capabilities into our products.
What you will do:
Lead the AI team and own its technical direction, roadmap and execution.
Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization.
Define clear success metrics and ensure AI solutions deliver measurable product and business impact.
Lead architecture and technical decision-making around AI models, platforms, tools and data.
Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management and career development.
Establish strong engineering practices around evaluation, scalability, reliability, monitoring and model lifecycle management.
Work closely with Product Management, Systems Engineering and R&D teams across Israel, India and the US.
Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation and operational efficiency.
Support customer-facing discussions, trials and PoCs where relevant.

As an MLOps Team Leader, you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.

What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power our AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.