Description
CareerArc Code CA-MH #LI-MH1 Hybrid: #LI-Hybrid BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world's largest organizations so they can seize a competitive advantage.
We are looking for a Principal Product Manager to join the BMC AMI Platform team. In this role, you will own important shared platform capabilities that enable AMI product teams to deliver consistent, secure, scalable, and increasingly intelligent experiences across mainframe operations, data, development, and security.
This is an inbound, technically credible product role for leaders who are strongest at understanding complex customer and product-team needs, defining reusable platform capabilities, and working closely with Engineering, Architecture, UX, Security, Quality, SRE, and portfolio product managers from discovery through adoption.
You do not need to be a specialist in building foundation models. You must understand how AI changes platform requirements and product decisions, including data and knowledge quality, permissions, telemetry, evaluation, observability, governance, cost, reliability, and human oversight.
What you will own
- Define the product strategy, roadmap, and measurable outcomes for a portfolio of shared AMI Platform capabilities.
- Lead inbound discovery with AMI product teams, engineers, architects, customers, support teams, and field stakeholders; distinguish repeatable platform needs from one-off requests.
- Translate customer problems and technical constraints into clear product requirements, acceptance criteria, sequencing, and investment tradeoffs.
- Drive capabilities from problem validation and concept through MVP, production readiness, internal adoption, customer adoption, and iteration.
- Prioritize platform investments using customer value, portfolio leverage, strategic differentiation, feasibility, risk, cost, and time to value.
- Partner with UX and Engineering to create coherent workflows and developer experiences across APIs, services, integrations, administration, and user-facing touchpoints.
- Define requirements for enterprise readiness, including identity and access, RBAC, audit, security, privacy, observability, reliability, performance, deployment flexibility, upgradeability, and supportability.
- Apply AI product thinking where it creates value, including knowledge grounding, agent and tool integration, evaluation, telemetry, guardrails, explainability, and human-in-the-loop controls.
- Establish success metrics for platform consumption, product-team adoption, customer activation, quality, reliability, latency, cost, satisfaction, retention, and business impact.
- Build strong product operating mechanisms across roadmap reviews, dependency management, design-partner feedback, release readiness, field enablement, and post-launch learning.
- Communicate strategy and decisions clearly to executives, customers, architects, engineering leaders, portfolio PMs, Sales, Customer Success, Support, and partners.
- Mentor other PMs and raise the standard for evidence-based platform product management.
Must-have experience
- 8+ years of product-management experience in enterprise software, including ownership of technically complex products, platforms, or shared services.
- Principal-level evidence of setting strategy, making difficult prioritization decisions, and delivering outcomes across multiple engineering teams or product areas.
- Strong inbound product skills: customer and stakeholder discovery, problem framing, requirements, workflow definition, technical tradeoffs, backlog and roadmap decisions, launch readiness, and adoption learning.
- Experience with one or more relevant platform domains, such as APIs and integrations, identity and access, data and metadata services, telemetry and observability, workflow and automation, administration, extensibility, developer platforms, or enterprise infrastructure.
- Working knowledge of AI-enabled products and the implications of LLMs, RAG and grounding, agents and tool use, evaluation, observability, safety, latency, and cost. You can turn these concepts into product requirements and informed tradeoffs with technical teams.
- Proven ability to balance reusable platform capabilities with domain-specific requirements and avoid fragmented, one-off solutions.
- Experience operating in enterprise environments where security, reliability, governance, deployment flexibility, backward compatibility, and operational rigor matter.
- Ability to influence Engineering, Architecture, UX, Security, Quality, SRE, Support, GTM, and senior leaders without formal authority.
- Excellent written and verbal communication, including the ability to explain complex technical decisions in customer and executive language.
- Bachelor's degree or equivalent practical experience in a relevant field.
Nice-to-have experience
- Mainframe, systems management, observability, AIOps, automation, database or data management, security, DevX, or IT operations experience.
- Experience with hybrid, on-premises, OpenShift, cloud, regulated, or air-gapped deployment models.
- Experience defining APIs, SDKs, integration ecosystems, MCP-based capabilities, plug-in models, or extensible developer platforms.
- Experience with enterprise AI governance, responsible AI, model risk, evaluation frameworks, or human-in-the-loop product design.
- Hands-on ability to prototype workflows using APIs, AI assistants, low-code tools, prompt or agent frameworks, analytics, or lightweight scripting.
- Experience working with global engineering organizations, design partners, strategic customers, and enterprise go-to-market teams.
- How success will be measured
- Clear portfolio strategy and a roadmap tied to customer and product-team outcomes.
- Validated platform problems with strong evidence and explicit adoption paths.
- On-time delivery of production-ready capabilities that are consumed by multiple AMI products or customer workflows.
- Measurable gains in platform adoption, activation, quality, reliability, time to value, and customer impact.
- Well-managed dependencies and high trust across product, engineering, architecture, UX, field, and customer stakeholders.
- AI-enabled capabilities that meet defined quality, evaluation, governance, security, cost, and human-oversight standards.
Role positioning This is not a feature-backlog or coordination role. Strong candidates will show evidence of personally owning ambiguous platform problems, making technical and commercial tradeoffs, driving multi-team delivery, and achieving adoption. AI fluency is required, but direct ownership of an agentic AI product is not mandatory for these two openings.
Our commitment to you!
BMC's culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won't be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You're unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.Min salary 421,125 Mid point salary 561,500 Max salary 701,875 Min Salary - NEW 421,125 Max Salary - NEW 701,875
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