Senior Product Manager - AI-Led Mainframe Managed Services

About the role and what you'll be doing:

Ensono’s Mainframe as a Service (MFaaS) suite is one of the most durable, mission-critical managed service platforms in the market. As we incorporate AI capabilities and next-generation platform innovations, this role exists to evolve and commercialize that portfolio — turning intelligence into offers that customers will buy.

This role is not responsible for defining core AI capabilities. Instead, it focuses on translating existing and emerging capabilities into productized, monetized services — including updating service definitions, pricing models, packaging, and positioning to align with market demand and client value.

You will operate at the intersection of product management, pricing strategy, and service commercialization, ensuring our managed services portfolio evolves from traditional, custom delivery to repeatable, scalable offerings with clear economic models grounded in an AI-First operating model. You’ll set the roadmap, align the stakeholders, and own the outcomes.

Service Evolution & Portfolio Refinement

• Adapt and evolve existing managed service offerings (e.g., MFaaS) to reflect new platform capabilities (e.g., Telum, Spyre) and AI-enabled delivery improvements such as automation and productivity gains
• Update and maintain service descriptions, SOW constructs, and feature definitions
• Ensure offerings remain market-relevant, clearly defined, and differentiated
• Keep every offering grounded in commercial reality: customer need, market timing, and Ensono’s right to win

Commercialization & Pricing Strategy (Primary Focus)

• Co-develop and refine costing and pricing models in partnership with Product Pricing and Operations
• Transition constructs toward standardized, scalable pricing approaches with forward-looking economics
• Incorporate automation and AI-driven efficiencies into cost-to-serve models
• Build and maintain pricing frameworks, SKU structures, and packaging tiers and bundles
• Ensure all offerings are profitable, repeatable, and defensible in the market

Product Packaging & Monetization

• Productize services into clear, sellable offerings — core vs. add-on capabilities, tiered service levels, and optional enhancements driven by AI or platform features
• Translate technical capabilities into client-understandable value propositions and measurable business outcomes (cost savings, productivity, risk reduction)
• Develop standardized proposal constructs and pricing guidance for Sales

Portfolio Roadmap & Lifecycle Ownership

• Own and maintain the commercialization roadmap across the full MFaaS portfolio
• Prioritize based on customer impact, commercial potential, and delivery feasibility
• Ensure every roadmap item has a clear, documented answer to “Why this? Why us? Why now?”
• Manage the full product lifecycle from ideation through commercial availability to retirement

Vendor & Ecosystem Integration

• Assess and incorporate third-party vendor capabilities into service offerings, evaluating fit for integration, differentiation, and margin impact
• Define how vendor technologies are packaged within managed services, priced and monetized, and positioned vs. alternatives (SaaS, ISVs, native tools)
• Manage product-level relationships with key technology partners to ensure alignment with roadmap and commercial goals
• Ensure Ensono maintains a cohesive “wrapper” and value layer across vendor-dependent services

Platform Feature Productization (Telum / Spyre / Next-Gen Mainframe)

• Identify opportunities to package and monetize industry use cases using new platform-level capabilities
• Translate hardware and software advancements (e.g., embedded AI processing) into new service features, differentiated offerings, and incremental revenue streams
• Work with Engineering and Architecture to ensure offerings are deployable, operationally supported, and ready for scale

Go-to-Market Enablement

• Develop and maintain product positioning, messaging, sales enablement materials, and offer definitions for pipeline and deal structuring
• Partner with Sales to move from point-product or custom solutioning toward outcomes-led selling of standardized offerings
• Support deal cycles with pricing guidance, packaging recommendations, and commercial clarity

Customer & Market Insight

• Conduct ongoing customer discovery to validate assumptions, test positioning, and surface unmet needs
• Monitor the competitive landscape across managed services, AI-enabled delivery, and platform alternatives
• Turn market signals into roadmap and packaging decisions — not just decks

Cross-Functional Alignment

• Act as the bridge across Product & Consulting lines of business, Pricing & Finance, Delivery/Operations, and Sales
• Ensure alignment between what is sold, how it is priced, and how it is delivered
• Drive consistency across portfolio definitions and commercial models — and drive decisions rather than waiting for them

Success Measures

• Adoption of standardized, productized service offerings
• Improved pricing consistency and margin performance
• Increased attach rates for add-on and enhanced capabilities
• Conversion of platform innovations (e.g., Telum / Spyre) into revenue-generating services
• Reduced reliance on custom pricing and one-off deal structures

Role Differentiator

This role is not an AI product strategy role. Success is defined by the ability to take what exists — AI capabilities, platform features, and vendor tools — and turn it into clear, priced, packaged, and sellable services at scale.