דרושים » AI » Principal Product Manager, Core AI

We are looking for an exceptional Product Leader to define and lead the product strategy for Core AI Platform-the AI operating layer enabling trusted, scalable AI across Product, Engineering, and Business.
This is one of the company's most strategic product leadership roles. Partnering closely with leaders across Product, Engineering, Data, Architecture, Security, and Business, you will define the platform strategy, lead the first generation of AI-native solutions, and establish reusable patterns that accelerate AI adoption across the company.
You will also shape how leverages the rapidly evolving AI ecosystem-making strategic build, buy, partner, and integrate decisions to combine differentiated internal capabilities with best-in-class external technologies into a trusted, enterprise-grade AI platform.
The Core AI Platform enables three strategic outcomes: transforming how products are built, enabling every business function to redesign and automate workflows through AI, creating agentic customer experiences across products.

We are looking for a Senior Product Manager to join our Analytics team within the Measurement group. In this role, you will own a core analytics domain used daily by global advertisers to measure, interpret, and optimize their marketing performance. You will work at the intersection of large-scale data, attribution complexity, privacy-driven measurement changes, and AI-powered capabilities - shaping how customers understand and rely on their marketing data.

This is a high-impact, highly visible role with direct influence on customer trust, product strategy, and the evolution of our analytics platform.

What youll do
Own a core Analytics domain end-to-end - from discovery and strategy definition to execution, launch, and continuous improvement.
Define and drive the roadmap for dashboards, metrics, and data experiences serving enterprise marketing teams.
Balance stability, scalability, and innovation in a complex, data-intensive environment.
Lead initiatives that modernize and consolidate analytics capabilities across multiple attribution sources.
Shape the integration of AI-powered capabilities into analytics experiences, enhancing how customers interpret performance data.
Work closely with R&D (Backend, Frontend, Data Engineering) to build scalable, high-performance analytics products.
Partner with Sales and Customer Success to understand customer needs, support adoption, and strengthen trust in our measurement solutions.
Engage directly with customers to validate product direction and identify opportunities to improve clarity, usability, and performance insights.
Drive prioritization in a high-demand environment with multiple stakeholders and competing initiatives.

Were looking for a Senior Product Manager with a pioneering spirit to join our core Attribution product team. Attribution is the core essence of marketing analytics and a mission-critical product to drive marketing decisions across the entire mobile ecosystem.

The Attribution team is responsible for the attribution algorithms and all critical APIs to the top media partners that the entire digital ecosystem relies on. The ideal candidate will have a proven record as a product manager of SaaS platform with deep technical knowledge of Big Data and SaaS solutions.

In this role, your mission is to serve as a key domain expert and collaborative listener - distilling customer feedback and analyzing market needs/trends to ensure the platform remains at the absolute top of its class as we pave the way in the AI era. You will also drive high-stakes product features in close collaboration with our strategic partners, including Apple, Google, Meta, and Amazon.

This is a high-impact, highly visible role with direct influence across the entire mobile ecosystem, shaping the future of measurement for global brands and leading digital platforms.


What you'll do
End-to-End Product Ownership: Manage the product lifecycle of the attribution domain from discovery and definition through to execution, go-to-market (GTM), KPI measurement, and continuous optimization.
Building Next-Gen Measurement Solutions: Advance digital marketing measurement in a dynamic ecosystem, addressing shifts in search and browsing habits driven by AI, conversational search, and changing media consumption patterns.
Privacy & Regulatory Navigation: Lead product strategy in a highly complex, privacy-first environment, ensuring compliance with global regulatory changes and data restrictions.
Cross-Functional Leadership: Collaborate closely with multiple engineering teams, architects, and data analysts to deliver robust and scalable solutions.
Customer-Centric Innovation: Partner directly with top clients to gather first-hand feedback and translate their insights into impactful product capabilities.
Executive & Strategic Alignment: Drive high-visibility projects, communicating progress and strategic vision directly with executive leadership.
Internal & External Collaboration: Foster strong alignment across internal Business, Marketing, and R&D teams, while managing relationships with key strategic partners.

In this role, youll take full ownership of product initiatives end-to-end, from identifying opportunities and shaping strategy to launching, testing, and continuously improving AI-driven experiences.

Youll work closely with engineering, design, data science, and growth teams to deliver AI features that improve onboarding, engagement, retention, and user value.

What Youll Do

Own AI product features from discovery through launch and continuous improvement
Identify user problems and translate them into clear product requirements, experiments, and success metrics
Build and ship AI-powered capabilities using LLMs, personalization, recommendations, and automation
Drive Product-Led Growth through smarter onboarding, activation, engagement, and retention experiences
Partner closely with engineers, designers, and data scientists to bring AI solutions to life
Run experiments, including A/B tests, prompt iterations, model improvements, and funnel optimizations
Use data, user research, and market insights to make fast, high-quality product decisions
Use AI design and prototyping tools to quickly explore product ideas, while applying strong UX/UI judgment to refine flows, evaluate quality, and ensure a polished user experience

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for an experienced Senior Product Manager to join our Product Management team, focusing on AI workloads and AI operations tools. In this role, you'll drive the AI capabilities customers use to operate enterprise storage and to build AI data services, taking the product from definition through GA and measuring its success.

Responsibilities:

* Drive the AIOps and AI-data-readiness strategy and roadmap, inbound and outbound, informed by where the market and the technology are moving
* Lead discovery with enterprise customers and Fortune 500 accounts, and work with the field and sales teams to turn what you learn into product and feature decisions
* Oversee deployment models considering cost, data governance, privacy, and compliance
* Take the product from PRD to GA with R&D, QA, Support, and Operations. Win the commitment of the executive team, Sales, and Marketing
* Measures for success: adoption, customer impact, and business outcome
* Be the subject-matter expert on AIOps: lead the conversation about this product with customers and internal teams.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We're looking for an experienced Product Manager to assist with the strategy and roadmap for key areas of Infinidat's storage portfolio. At this role, you will work closely with R&D, customers, and go-to-market teams to translate enterprise requirements into product capabilities.

Responsibilities:

* Own the product roadmap and backlog for an assigned area of the InfiniBox/InfuzeOS portfolio.
* Gather and prioritize requirements from enterprise customers, Fortune 500 accounts, and field/sales teams, understand pain points and translate business needs into product and feature improvements.
* Write PRDs and detailed feature specifications for engineering, and confirm key requirements are met using hands-on validation.
* Partner with R&D on release planning, scoping, and prioritization trade-offs.
* Develop and maintain supporting documentation and best practices guides for the product area(s) owned, including deployment/configuration guidance, technical reference material, and internal enablement content for sales, support, and professional services.
* Support pre-sales, competitive positioning, and customer/analyst conversations.
* Track storage industry and market trends (AI/data workloads, cyber resilience, hybrid cloud, file and block) to inform strategy.
* Collaborate cross-functionally with marketing, sales engineering, professional services, and support organizations.

We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

we are looking for a R&D Architect Director.
What youll do:
Drive new technologies and frameworks - extending capacity & effectiveness of teams, capacity & scalability of the product - for both server and client side
Be involved in all key technology and methodological aspects of development and testing
Take an active role and lead key product enhancements, per product-management and stakeholders requirements, and select the right development solutions to address the requirements in terms of functionality, reliability, testability, and scalability
Be involved in business needs and operational flows to come up with the right technology solutions
Mentor and lead R&D teams in design reviews, coding standards, and architectural designs
Drive AI adoption across R&D - both as a development accelerator (coding tools, agents, MCPs) and as a capability embedded in the product

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

We are looking for a Project & Product Manager to join our team and lead end-to-end implementation, configuration, specification, and development projects for retail and ERP systems, with an emphasis on Odoo, for customers across fashion retail, supermarkets, fuel stations, and general retail.

This role combines end-to-end project management, product and business-process specification, day-to-day work with customers and technology teams, and daily use of advanced AI tools, especially Claude, to speed up specification work, document writing, requirements analysis, and even support for development, integrations, and customizations.

Your key responsibilities will include:

Project Management
Manage end-to-end implementation projects at customer sites, from kickoff through Go-Live and post-launch support - work plans, timelines, prioritization, and resources.
Track progress, manage risks, identify blockers early, and drive solutions.
Manage customers, vendors, and development/implementation/support teams; lead status meetings and follow-up on decisions and tasks.
Report ongoing status to management and customers: progress, risks, gaps, and action plans.

Product & Business Process Specification
Lead specification with customers: business needs, current-process mapping, and future-process planning.
Write BRDs, PRDs, user stories, process docs, and functional specs, translating complex requirements into clear, actionable solutions that balance customer needs, system constraints, product, and dev capacity.
Specify loyalty processes (benefits, coupons, point accrual/redemption) and their impact on POS, ERP, promotions, and reporting.
Partner with development/implementation to ensure the built solution matches spec; support testing, UAT, customer validation, and Go-Live prep.

Working with Advanced AI Tools
Use Claude and other AI tools daily to draft documents, break down requirements, build user stories and work plans, and analyze processes.
Use Claude to support development of customer solutions - automations, integrations, reports, workflow and configuration changes.
Write strong prompts, validate outputs professionally, and use AI critically - as an accelerator, not a substitute for judgment.