דרושים » תוכנה » Product Manager - Network, Infrastructure & Security

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.

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 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 .

Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Responsibilities:
Identify 3 rd party companies operating in the cUAS domain with complementary technologies. evaluate their technologies and define the product strategy for integrating their technology into portfolio
Work closely with R&D, 3rd party companies, to define product requirements and integration scope
Manage relations with the partners
Define the product strategy, commercial aspects, go-to-market, sales -related activities and marketing.