דרושים » מוצר » Multi-Layer cUAS - Product Manager

we are a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, our company created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade networking. This solution accelerates network deployment, improves the networks economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&Ts network traffic now runs through a disaggregated core powered by our company software. our company Network Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI networking solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, our company continues to deploy the most innovative network infrastructure and is looking for the most talented people to be part of this journey.
Key Responsibilities
Own the end-to-end product lifecycle-from market analysis and requirements definition to feature delivery and adoption.
Define and refine product vision, roadmap, and KPIs for network and infrastructure-centric solutions.
Collaborate closely with engineering teams to design scalable, resilient architectures and ensure timely execution.
Lead discovery with customers, partners, and internal stakeholders to identify needs in ISP, carrier, and enterprise environments.
Translate networking and security requirements into clear product specifications and user stories.
Evaluate competitive offerings, industry trends, and emerging technologies in routing, infrastructure, and security.
Work with security teams to integrate and enhance security capabilities, address vulnerabilities, and ensure industry-standard protections.
Drive cross-functional alignment with sales, marketing, support, and operations to ensure product success.
Support customer engagements and represent the product in technical discussions, roadmap reviews, and strategic planning.

we are seeking a highly skilled AI Product Intelligence Lead to modernize and elevate the Product Management function by building an AI-driven product knowledge platform. This role focuses on aggregating and unifying organizational data (engineering, product, competitive, customer) into a structured data lake, and developing an internal AI assistant that empowers the Product organization with real-time insights, competitive analysis, roadmap support, and decision-making acceleration.
This position sits at the intersection of AI, data engineering, product strategy, and organizational knowledge management. You will function as the AI engine behind our company Product Management - turning scattered information into structured intelligence and building the tooling that allows PMs to think faster, act smarter, and execute at scale.
Key Responsibilities
1. Build the company Product Data Lake
Ingest and normalize data from internal systems including:
Git / GitHub / GitLab (code evolution, releases, components, architecture)
Jira (epics, features, sprint data, backlog health, execution trends)
Confluence (specs, design docs, product decisions, reviews)
Connect and harvest relevant external data:
Competitor websites and public documentation
Analyst reports, industry standards, RFCs
Media, blogs, financial/market data, community repos
Establish pipelines for continuous ingestion, cleaning, tagging, and semantic indexing.
Define and enforce taxonomies, metadata schemas, and embedding strategies for structured and unstructured product information.
2. Build an AI Assistant for the Product Management Function
Design and maintain a secure, internal our company PM chatbot capable of:
Understanding our company architecture, products, roadmaps, modules, and features
Generating roadmap proposals based on business goals, competitive gaps, and engineering capacity
Providing competitive analysis, feature comparisons, and market positioning
Summarizing design docs, Jira epics, technical specs, PRDs, RFCs, and Confluence pages
Acting as an AI peer/consultant for PMs: drafting PRDs, feature breakdowns, risks, GTM summaries, and opportunity reports
Implement multi-source retrieval (RAG), long-context reasoning, and fine-tuning strategies where applicable.
Collaborate with Engineering to ensure data security, access control, and compliance.
3. AI-Driven Product Intelligence & Competitive Strategy
Automatically identify gaps vs. competitors and recommend differentiators.
Use AI to synthesize market intelligence and propose strategic moves.
Build dashboards for product, competitive, and risk insights.
Create automated alerts for competitor releases, standards changes, and relevant industry updates.
4. Cross-Functional Collaboration
Work closely with Product Managers, R&D, Architecture, CTO Office, Sales Engineering, and Leadership.
Translate business goals into AI capabilities and intelligence-driven tooling.
Train PMs on using AI tools effectively and integrate AI into their daily workflows.

We are seeking a highly organized and strategic Product Manager AutoSummary and Real-Time Insights. In this role, you will build innovative Generative AI Agent Guidance based product. 
 How will you make an impact?
This is a high-impact role ideal for someone who thrives on structure, collaboration, and delivering clarity in complex environments. 
Roadmap Management 
Own the creation, maintenance, and communication of the product roadmap
Track dependencies, identify conflicts or gaps, and proactively escalate risks or misalignments 
Strategic Planning & Alignment 
Coordinate quarterly and annual planning processes across product and engineering teams 
Align roadmaps with strategic business priorities, GTM plans, and platform-level objectives 
Facilitate alignment between technical deliverables and market/customer needs 
Cross-Functional Collaboration 
Serve as a liaison between Product, Engineering, Product Marketing, Sales Enablement, and Executive Leadership 
Ensure consistency of messaging, prioritization, and timing across initiatives 
Support communication of roadmap themes and updates to both internal and external stakeholders 
Communication & Transparency 
Build and deliver executive-level presentations and planning artifacts 
Maintain shared roadmap tools and documentation that improve visibility and decision-making 
Champion portfolio planning best practices across teams .

In one sentence
We are looking for a hands-on Product Manager who can identify internal teams needs, translate them into clear requirements, and work closely with developers building AI Agents and automation flows. The role focuses on creating efficient, scalable solutions that improve productivity across the organization.
What will your job look like?
You will.
Work directly with internal teams to map workflows, understand pain points, and identify opportunities for automation and AI-driven efficiency.
Translate team needs into structured product requirements, user flows, and clear specifications for AI Agents, integrations, and automation tools.
Collaborate with developers specializing in AI Agents / LLMs / automation frameworks to build tailored solutions , and when relevant, propose ready-made solutions based on your knowledge of existing tools and platforms.
Lead fast ideation, prototyping, and MVP cycles demonstrating measurable impact (time saved, error reduction, operational efficiency).
Own the lifecycle of internal AI solutions: from discovery through delivery, rollout, enablement, and continuous improvement.
Train internal teams on the solutions you build, including onboarding, usage guidelines, documentation, and adoption support.
Monitor usage, collect feedback, and drive iterative improvements to ensure long-term effectiveness and scale.
Work cross-functionally with Operations, Engineering, IT, HR, Finance and additional domains that benefit from AI-enabled process optimization.
Showcase efficiency gains through clear KPIs, pre/post analysis, and internal success stories.

We are looking for a talented communication PHY algorithms engineer to join our
growing, highly motivated, and skilled modem research team, to lead and participate in
research of proprietary wireless communication signals and design modulators,
demodulators as part of our counter-drone cyber-based product.
Responsibilities:
Research and analysis of proprietary air interface: algorithm research of sampled wireless signals using MATLAB or Python, to define all radio characteristics including sample rate, modulation scheme, error corrections, spreading techniques and more.
Full modem implementation and simulation in MATLAB or Python.
Guide and support the FW, DSP and FPGA teams for concept implementation and debug.
Analysis and debug of PHY algorithms behavior and performance improvements.

our company has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. we are a learning machine that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our lifes work, to amplify human creativity and intelligence. Make the choice to join us today.
What youll be doing:
Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at our company (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools.
Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity.
You will be responsible for the design releases required generation of artwork files, ODB++, and electronic PCB documentation.
Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What Youll Be Doing:
Analyze PCB designs for manufacturability (DFM) and assembly (DFA) and identify issues early in the design cycle.
Collaborate with hardware, layout, and manufacturing teams to ensure design intent aligns with production capabilities.
Use CAD tools such as Cadence Allegro and Siemens Valor to review and optimize PCB layouts.
Participate in design reviews and cross-functional meetings to address manufacturing constraints and improve design quality.
Document and promote best practices and DFM/DFA guidelines across teams.
Support root cause analysis and resolution of manufacturing issues during new product introduction.
Stay current with industry standards and emerging PCB manufacturing technologies.

The Engineering team is looking for a Senior Integration Engineer to join our Edge Infrastructure Group.
In this role, you will be part of a team responsible for designing and implementing the container platform for enterprises and telecommunication companies and contributing to industry-leading technologies in the Kubernetes ecosystem.
As a part of a geographically distributed team, you will collaborate with multiple engineering teams and open source communities around the globe. To be successful in this role, you'll need to have motivation, curiosity, passion for problem-solving, and experience with Linux technologies and open source.
What You Will Do:
Play an active role applying Kubernetes and OpenShift to customer use cases
Develop and integrate changes in multiple projects using open source methodologies to provide end-to-end solutions
Troubleshoot, analyze bug root causes, and provide resolutions
Review design, enhancement proposal, and patches from other team members and other collaborators
Work with various engineering team to ensure products are developed and tested correctl
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work

We are looking for a talented and experienced PHY system integration engineer with a can do attitude to join our growing, highly motivated and skilled PHY team. The system PHY integration engineer will work closely with the PHY algo group.
The members of this
group are highly skilled, experienced individuals who are keen to pass on their knowledge. The team is responsible for learning and understanding of PHY algorithms and defining PHY system tests for analyzing, tunning and verifying these algorithms and full system
behavior and performance.
In this role you will work closely with Algo, SW, HW, RF and system validation teams and
be expected to work in a fast-paced challenging environment.
Responsibilities:
Deep understanding of PHY algorithms
Planning and executing PHY system tests - Algo, HW, RF, SW
Tuning and verifying system features, performance and functionality
Building lab setups for these system tests and operating lab equipment
Independent debugging and analyzing results using MATLAB, Python or Excel