AI Product Intelligence Lead

mor galJob Title: AI Product Intelligence Lead

Location: Ra'anana Israel - Hybrid

#LI-Hybrid

DriveNets is a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, DriveNets 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 network’s economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&T’s network traffic now runs through a disaggregated core powered by DriveNets software. DriveNets 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, DriveNets continues to deploy the most innovative network infrastructure and is looking for the most talented people to be part of this journey.

Role Overview

DriveNets is 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 DriveNets 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 DriveNets 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 DriveNets PM chatbot capable of:
Understanding DriveNets 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.

Requirements:

Required Skills & Experience

Technical Must-Haves

Strong experience with AI/ML tools, LLMs, RAG systems, vector DBs, prompt engineering.
Practical experience with data engineering / data pipelines, including:
ETL/ELT, ingestion, and normalization
API integrations (GitHub, Jira, Confluence, REST/GraphQL)
Data warehousing or data lake technologies (Snowflake, BigQuery, S3, Delta Lake, etc.)
Familiarity with LangChain, LlamaIndex, or similar frameworks for AI agents.
Ability to design scalable, secure, access-controlled AI architectures.

Product Experience

(not mandatory but is a big advantage)

Background in Product Management, Technical Marketing, Competitive Intelligence, or Product Strategy.
Deep understanding of how PMs work: roadmaps, PRDs, features, customer requirements, and competitor analysis.

Soft Skills

Strong communication and synthesis abilities.
Ability to turn chaos of information into clear narratives and structured systems.
Ownership mindset, self-starter, and high execution velocity.
Comfort working cross-functionally with senior stakeholders.

Nice-to-Have

Experience in networking, cloud infrastructure, telco, or data-center technologies.
Familiarity with DriveNets concepts: Network Cloud, DCge, DNOS, NCP, and hyperscale routing architectures.
Experience building internal tools or AI products for technical users.

Why This Role Matters

This role positions AI as a core capability inside DriveNets Product.

The person filling it will:

Transform PM workflows
Shorten decision cycles
Improve roadmap quality
Accelerate competitive positioning
Reduce friction between R&D and Product
Preserve tribal knowledge
Build the “second brain” of the entire product organization

They will be the architect of DriveNets’ intelligent product knowledge platform for years to come.

Please apply even if your experience is close but doesn’t fulfill all requirements. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds.

DriveNets is an equal-opportunity employer. We do not discriminate based on race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

More About DriveNets

Based in Israel with locations in Romania, US, and Japan as well as extended teams, DriveNets operations cover more than 12 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website:

https://drivenets.com/company/