we are looking for a Product Manager- Data & ML.
As a Product Lead - Data & ML, you will be responsible for defining and delivering data-management and AI/MLOps capabilities within a data-intensive platform. You will work with cross-functional engineering, architecture, and external partner teams to drive advanced data and machine learning solutions that power enterprise-grade products.
You will:
Lead the full product lifecycle- from ideation and prioritization to design, planning, and delivery of AI/ML and data platform capabilities
Define requirements and translate complex business needs into scalable product features in collaboration with engineering and architecture teams
Drive MLOps and data platform initiatives, ensuring high-quality, production-ready solutions
Collaborate with external clients and partners to deliver best-in-class solutions and align on product vision

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 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.

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

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.

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

We are seeking a Product Manager Lead who will be responsible for leading a team of product managers, product planning, delivery, and marketing throughout the product lifecycle.
You will:
Maximize clarity by bringing a data-driven mindset to setting goals and milestones.
Conceptualize and analyze different parts of our infrastructure and how they interrelate.
Inspire the company by creating bold, game-changing ideas and delivering them across a set of customer problems.
Elicit non-obvious customer needs, synthesize research to gain a deep understanding and narrow definition of a problem.
Co-create with teammates to deliver high-quality results. Speak and write with clarity and comfort in deep technical discussions with engineers about the pros and cons of different approaches.
Lead and mentor a team of product managers, driving alignment, execution quality, and professional growth across the product organization.
Leverage AI-driven tools and methodologies to improve product planning, prioritization, data analysis, and decision-making across multiple product domains.
Use AI capabilities to enhance synthesis of customer insights, market research, and technical complexity into clear product direction and strategy.
Drive adoption of AI-assisted workflows within the product organization to improve efficiency, experimentation velocity, and product quality.

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 seasoned Product Partnerships Manager in Israel to lead our efforts in improving measurement integrity, partner signal quality, and exploring joint technological offerings with strategic partners.

You will interact with top-tier partners (ad networks and martech platforms) and work cross-functionally with internal Partnerships, Product, R&D, and marketing teams to advance mutual projects and present the partner angle of every product-related initiative.

The Product Partnerships team operates at the intersection of product, partners, and ecosystem strategy.

Our mission is to extend our measurement authority across the ad ecosystem by improving partners data integrity and signal quality, and by broadening and deepening partners integrations with our features.

The Product Partnerships Manager role is perfect for someone with a technical/product orientation, and a strong knowledge of the ad tech ecosystem, who loves solving problems and creating win-win situations with partners.

What you'll do:
Own strategic product collaboration with key platforms across the advertising and marketing ecosystem (e.g. ad networks, DSPs, analytics and engagement platforms).
Unlock obstacles to partner integrations and capabilities by working closely with Product and R&D teams to define, build, and improve scalable solutions.
Ensure high-quality data flows and measurement integrity, acting as a subject matter expert towards partners on attribution, data accuracy, and signal quality.
Identify and execute opportunities to enhance partner value, including improving performance, expanding use cases, and increasing partner adoption.
Support revenue growth through partnerships by enabling deals, removing technical blockers, and aligning partner capabilities with customer needs.
Act as the voice of partners internally, influencing product roadmap, prioritization, and go-to-market strategies.
Lead cross-functional initiatives across Product, R&D, Sales, and Customer Success to deliver impactful partner solutions.
Monitor ecosystem trends and partner developments, identifying risks, opportunities, and competitive dynamics.
Drive operational excellence and scalability, improving processes and leveraging AI and automation where possible.
Operate self-sufficently to pull and analyze data to understand impact of product changes on partners and identify potential issues.
Collaborate with marketing on communication to partners about product updates and changes.