Senior Product Manager - AI-Led Mainframe Managed Services
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EnsonoManaged Services
If you are not required to be on a client site, you can choose to work from home or in our Ensono offices.Full-TimeSenior
Salary$116,000 to 168,000 annually
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Job Details
- Experience
- 7–10+ years
- Required Skills
- Product Management
Requirements
- 7–10+ years in Product Management or Service Portfolio Management, with clear ownership of commercial offer development in a technology services environment.
- Strong background in managed services, specifically across mainframe, infrastructure, or SRE services.
- Expertise in productizing services and developing or influencing costing and pricing models.
- Demonstrated financial acumen, including cost-to-serve modeling and margin optimization.
- Ability to translate complex technical capabilities into clear, sellable value propositions.
- Understanding of AI-enabled delivery, automation, and AIOps to reshape service design and cost-to-serve.
- Proven experience working across Product, Finance, and Delivery functions to drive alignment.
- Strong communication skills with experience facilitating cross-functional decision-making.
- Ownership mindset with the ability to manage roadmaps and dependencies independently.
- Bachelor’s degree in Business, Computer Science, Engineering, or a related field, or equivalent experience.
Responsibilities
- Adapt and evolve managed service offerings to reflect AI-enabled delivery improvements and platform capabilities.
- Refine costing and pricing models to move toward standardized, scalable economic constructs.
- Productize services into clear, sellable offerings, including core and add-on capabilities.
- Own and maintain the commercialization roadmap across the full MFaaS portfolio.
- Manage product-level relationships with technology partners to ensure alignment with commercial goals.
- Develop product positioning, messaging, and sales enablement materials for standardized offerings.
- Conduct ongoing customer discovery and competitive market analysis to inform packaging and roadmap decisions.
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