Senior Product Manager - AI-Led Mainframe Managed Services

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things ! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.

Honesty – Reliability – Curiosity – Collaboration – Passion

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

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

Required Qualifications

7–10+ years in Product Management or Service Portfolio Management, with clear ownership of commercial offer development in a managed services or technology services environment

Managed services background — strong experience across mainframe, infrastructure, or SRE services, and an understanding of how managed service offers are structured, sold, and delivered

Pricing & commercialization expertise — a proven track record of productizing services (custom → standardized) and developing or influencing costing and pricing models

Commercial and financial acumen — cost-to-serve modeling, pricing strategy, and margin optimization

Translation skill — you turn technical capability into clear packaging and sellable value propositions without losing either the technical or the business audience

AI-enabled delivery fluency — enough understanding of automation and AI efficiencies to reshape cost-to-serve and service design (this role applies AI to commercialization; it does not define the underlying AI capability)

Cross-organizational experience — you’ve worked across Product, Finance, and Delivery, and can drive alignment between them

Clear communicator — you can run a cross-functional meeting across pricing, finance, delivery, and sales and make sure everyone leaves knowing the decision and who owns what

Ownership mindset — you drive the roadmap forward, manage dependencies, and don’t wait for blockers to resolve themselves

Bachelor’s degree in Business, Computer Science, Engineering, or a related field — or equivalent demonstrated experience

Preferred Qualifications

Mainframe ecosystem (IBM Z, z/OS, CICS, Db2); IBM LinuxONE experience a plus

Infrastructure Managed Services and/or SRE or Application Services

Familiarity with AI-enabled delivery (AIOps, automation, developer productivity)

Vendor ecosystem familiarity (IBM, ISVs, observability, security, and DevOps tooling)

Familiarity with next-generation mainframe platform capabi