דרושים » מוצר » Product Manager

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.

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.

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.

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.

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.

Required Product Manager
As a Product Manager, you will:
Shape and lead the product vision and roadmap
Manage the entire product lifecycle, both externally and internally
Lear about customer challenges and needs to ensure that the product is developed to maximize customers success in their diverse missions
Work closely with cross-functional teams, such as R&D, Customer Success, Sales, Business Development and Marketing
Identify opportunities and develop initiatives based on data and make data-driven decisions
Be well acquainted with the market and competition.

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

Were looking for a Product Manager to own the Banco consumer experience end to end. This is a rare seat: a genuinely consumer-grade fintech product - wallet, card issuing, KYC/onboarding, withdrawals - that reaches a global, mass user base, but distributed through enterprise customers rather than paid acquisition. You will own the roadmap, priorities, and execution for the app workers touch every time they get paid, and you will be accountable for making that experience fast, reliable, and effortless at scale.
You will report to the Director of Product leading the Payments applicative group and work in a squad model - a dedicated design, analytics, and engineering team - with a mandate to raise the quality bar of the app while growing activation and retention among the workers our customers onboard.
What youll own
The end-to-end Banco consumer experience: onboarding and identity verification (KYC), the multi-currency wallet, card issuing (virtual and physical), and withdrawals to bank and stablecoin - across web and mobile.
Activation and retention: turning invited workers into active, paid, engaged users; reducing drop-off across onboarding and first-payout funnels.
Reliability and quality: driving down errors, support tickets, and friction so that I got paid is boring and dependable.
Localization at scale: making the experience feel native across 160+ countries and dozens of payout rails, banking conventions, and languages.
The consumer data model: real objects (addresses, bank accounts, identity) that power smart UX - IBAN→bank lookup, zip→address autofill, one-time data entry instead of repeated forms.