Entry Level Product Manager
IBM
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Product managementSalesOperationsREST APIsETLFinancial analysis
- Nice to have
- PythonFlaskSQLTypeScript
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Product management85%Operations46%Sales39%REST APIs13%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
At IBM, Offering Managers are responsible for the full lifecycle of a product, from validating market need and defining solution requirements to determining the business model and driving execution at scale. This role involves applying deep technical expertise in data science, cloud analytics, and automation to solve complex problems. As an Offering Manager on IBM's Cloud Portfolio team, you will act as the CEO of your offering, owning the strategy, data infrastructure, and cross-functional relationships.
Your Role And Responsibilities
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, requiring hands-on fluency with modern analytical and automation tooling. 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.
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.
Requirements & Tech Stack
Required Technical And Professional Expertise:
- Python
- Flask 3
- SQL
- Typescript
Preferred Technical And Professional Experience:
- Python
- Flask 3
- SQL
- Typescript
- React 18
- Vite Zustand
- Axios
Qualifications
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.