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Senior Product Manager - AI-Led Mainframe Managed Services

Ensono · Remote · $116,000–$168,000 a year · E2105 Mainframe LOB

Posted Sep 2, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a product or service you took to market. How did you measure if it succeeded?

What they are checking: Whether they own commercial results, not just launches.

How do you work with sales to learn what clients will actually buy?

What they are checking: Whether they gather real market feedback from deals and clients instead of guessing from inside the company.

Tell me about a time you killed or reshaped a product idea based on data.

What they are checking: Whether they let evidence change their plans rather than defending an idea they started.

What would you do

This role turns existing AI capabilities into services clients will pay for. How would you decide which capability to package first for mainframe-as-a-service clients?

What they are checking: Whether they prioritize by client value and willingness to pay, not by what is technically most interesting.

Mainframe clients are cautious about change. How would you position AI in a way they trust?

What they are checking: Whether they understand that reliability and risk matter most to mainframe buyers and frame AI around that.

Engineering says a capability is ready, but delivery teams say they cannot support it at scale. What do you do?

What they are checking: Whether they bring teams together to resolve readiness gaps before selling something that cannot be delivered.

How do you keep marketing, sales and delivery aligned on what a new offer is and is not?

What they are checking: Whether they create shared clarity so clients hear one consistent story.

About the work

Walk me through how you would set pricing for an AI-enabled managed service.

What they are checking: Whether they understand pricing models like outcome-based, tiered or usage pricing and how each affects margin and adoption.

How would you rewrite a service definition so a client knows exactly what they get from an AI-led offering?

What they are checking: Whether they can make clear, contract-ready service definitions that avoid overpromising what AI will do.

How would you build a business case for a new service offering?

What they are checking: Whether they can tie costs, pricing and adoption into a believable financial model.

What do you know about how mainframe managed services work, and where do you see AI helping operations?

What they are checking: Whether they understand the domain well enough to package AI around real operational pain points.

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The full job description

As published by Ensono.

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 capabilities (e.g., Telum, Spyre, embedded AI processing)  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. Why Ensono? Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it.  We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices. Some of our benefits include: • Unlimited Paid Days Off • Three health plan options • 401k with company match • Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts • Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement • Paid childbearing and paternal leave • Education Reimbursement, Student Loan Assistance or 529 College Funding • Sabbatical leave • Wellness program • Flexible work schedule As of the date of this posting, a good faith estimate of the current pay scale for this role is $116,000 to 168,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance and an equity grant under our Associate Equity Appreciation Program Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website . If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com .

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