Entry Level Product Manager- New York

About the role

Employer: (0147) International Business Machines Corporation

IBM Product Managers deliver business results by bringing high-quality products to market through data-driven strategy and rigorous technical execution. In this role, you will lead data science and automation initiatives spanning the IBM Cloud portfolio — including performance analytics, client consumption modeling, competitive pricing analysis, and signings/revenue intelligence. You will partner closely with IBM Cloud product management, finance, and sales operations teams to surface actionable insights and drive measurable portfolio value. A strong technical foundation is essential: this role sits at the intersection of cloud engineering, data science, and product strategy, and requires hands-on fluency with modern analytical and automation tooling.

Product Managers in this role are practitioners as much as strategists — you must be comfortable working directly with data pipelines, cloud platform APIs, automation frameworks, and quantitative models, while simultaneously translating those technical outputs into executive-level strategy and go-to-market decisions. You will manage workstreams spanning data infrastructure and tooling through to portfolio-wide reporting and commercial decision support, and you will define how analytics capabilities integrate across IBM's Cloud ecosystem.

You will interface with engineering, design, product marketing, sales, and finance stakeholders to deliver technically rigorous products and analytical frameworks with defined routes to value. Recognized as a credible technical voice across multidisciplinary teams, you will serve some of the world's largest enterprises and governments under constantly evolving priorities.

We look for emerging leaders with demonstrated technical experience in data science, cloud platforms, or software engineering who are equally capable of driving business outcomes. The ideal candidate is entrepreneurial, analytically rigorous, adaptable, and able to translate complex technical data into compelling business narratives. Hands-on experience with data science workflows, cloud infrastructure, automation tooling, and financial or commercial analysis is required — not just familiarity with these concepts.

Responsibilities

Lead data science and automation initiatives covering IBM Cloud portfolio performance, client consumption, competitive pricing, and signings/revenue analysis

Apply hands-on technical skills in data science, analytics engineering, or automation to build scalable analytical products and reporting pipelines

Collaborate across IBM Cloud product management, finance, and sales operations to identify opportunities and drive portfolio value

Support senior product managers in the day-to-day and strategic management of cloud portfolio products

Define and execute product strategy grounded in quantitative market, competitive, and financial analysis

Build and maintain cross-platform analytical models and automated reporting capabilities

Develop and contribute to a comprehensive product roadmap aligned to both technical architecture and commercial priorities

Support sales and marketing initiatives through data-driven insights that accelerate revenue growth

Track and communicate product performance metrics to cross-functional stakeholders and leadership

Stay current on emerging technologies and best practices in cloud, data science, pricing models, and intelligent automation

This role offers significant career growth potential across IBM.