דרושים » תוכנה » Product Owner

we are seeking a Product Manager focused on Network Automation to be a key member of our Product Management team. Join a dynamic and forward-thinking company at the forefront of network transformation. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional network performance. Collaborate with the industrys best as we partner with some of the largest Internet Service Providers, shaping the future of connectivity. Our environment fosters creativity, teamwork, and growth, offers you the opportunity to make a meaningful impact while working on groundbreaking projects.
This is a platform product role, not a task-automation role. The right candidate understands how to turn real telecom operations needs into reusable product foundations: intent and policy models, lifecycle orchestration, service and topology context, assurance, observability, troubleshooting, remediation, and continuous verification. You know what operations teams want from an autonomous networks tool: lower manual toil, safer changes, faster activation, lower MTTR, better service visibility, and automation they can trust in production.
You also understand how Tier 1, Tier 2, and Tier 3 telecom operators differ in scale, staffing, process rigor, brownfield complexity, integration realities, and economic pressure-and how those differences should shape product strategy, UX, deployment approach, and autonomy boundaries.
The successful candidate will not only define AI-enabled product capabilities for operators, but will also operate as an AI-native product leader, using modern AI tools and workflows to accelerate discovery, requirements, prioritization, decision-making, and execution.
RESPONSIBILITIES
Work as a key member of the Network Automation Product Management team which continues to adopt and expand the daily use of modern AI tools while creating workflows to accelerate customer insight synthesis, PRD and epic authoring, backlog shaping, roadmap scenario analysis, competitive intelligence, release readiness, and product analytics-driving faster execution and higher-quality product decisions.
Own the product vision, strategy, and roadmap for our companys automation and autonomy capabilities across Day 0, Day 1, Day 2, and ongoing network operations. Define the core product foundations required for an autonomous operations platform, including:
o Intent and policy models
o service and resource models
o topology and dependency context
o state reconciliation
o workflow orchestration
o assurance and observability
o remediation and outcome verification
Define the data and context layer needed for autonomy and AI to operate safely and accurately, including inventory, topology, service context, telemetry, alarms, events, policies, historical actions, and operational outcomes
Define the products autonomy model: when the system should recommend an action, when it should require operator approval, and when it can act automatically within policy guardrails.

We are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.

we are seeking a Senior Product Manager focused on Switch platform hardware to be a key member of our Product Management team. Join a dynamic and forward-thinking company at the forefront of network transformation. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional network performance. Collaborate with the industrys best as we partner with hyperscalers, NeoClouds, and leading enterprises, shaping the future of disaggregated networking infrastructure. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact while working on groundbreaking hardware systems.
As a Senior Product Manager focused on Switch Hardware Platforms, you will drive the development, definition, and lifecycle management of high-end networking systems for AI fabrics. Your work will directly impact the performance, scalability, and reliability of next-generation network infrastructure, enabling customers to deploy and operate large-scale networks efficiently.
Responsibilities
Act as a hardware product expert specializing in high-end networking systems and system-level architecture, providing strategic direction across the product lifecycle.
Define and lead hardware product strategy, including system architecture, platform definition, and roadmap planning for next-generation switching and routing platforms.
Collaborate closely with engineering teams to develop product specifications, drive design trade-offs, and deliver high-quality hardware systems including PCB design, thermal solutions, power systems, and mechanical architecture.
Own end-to-end product lifecycle management from concept through development, validation, manufacturing, and deployment, ensuring timely delivery and high-quality execution.
Work with contract manufacturers, ODMs, and supply chain partners to ensure successful product manufacturing, certification, and deployment at scale.
Partner with marketing and sales teams to define product positioning, develop go-to-market strategies, and support customer engagements.
Engage with customers to gather requirements, validate solutions, and prioritize features that enhance product competitiveness and customer satisfaction.
Monitor product performance post-launch, analyze key metrics, and drive continuous improvements and future product iterations.
Prepare and present product plans, business cases, and status updates to stakeholders and executive leadership.

we are looking for a Senior Product Manager - AI to lead the definition and hands‑on creation of AI‑native, market‑leading Customer Experience solutions.
In this role, you will own innovative AI capabilities across the CX platform, shaping how AI understands customer interactions, guides human agents, and automates outcomes at enterprise scale. You will have the opportunity to personally design, prototype, and validate AI‑driven product experiences.
You will be responsible for building the next generation of AI‑powered CX solutions-not just features, but intelligent systems and working prototypes-while maintaining standards for security, governance, and enterprise readiness.
This is a highly hands‑on product role, ideal for a PM who enjoys building, experimenting, and turning ideas into tangible product artifacts quickly.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently.
We also value genuine intellectual curiosity - someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value
How will you make an impact?
Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
Own and manage the cloud data warehouse - schema design, performance tuning, and access control
Manage data ingestion workflows connecting diverse data sources to the central data platform
Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity - someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value
How will you make an impact?
Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
Own and manage the cloud data warehouse - schema design, performance tuning, and access control
Manage data ingestion workflows connecting diverse data sources to the central data platform
Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

We are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.
What you will be doing:
Plan and build complex cluster and supercomputers in various of data center and labs
Rack stack and cable management to ensure efficient use of space and easy maintenance
Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization
Data centers and labs daily operation and support
Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI
Perform troubleshooting - network, optic cabling, bare metal, operating system.
Support Research & Development activities.