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Description and Requirements "At BMC trust is not just a word - it's a way of life!" Description And Requirements CareerArc Code CA-MH 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 worlds largest organizations so they can seize a competitive advantage. At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! Position Overview We are building the next generation of enterprise automation. As a Principal / Lead Product Manager, you will own one or more new AI-native products from concept through General Availability. Working closely with engineering, design, customers, and executive leadership, you will define products that combine traditional workload orchestration with agentic AI, modern data platforms, and enterprise automation. This is a rare opportunity to build 01 enterprise products while leveraging one of the industrys largest enterprise software install bases. What Youll Build Depending on your experience and interests, you may own one or more of the following product areas: AI Workflow Authoring & Design Copilot AI Operations, Explainability & Remediation Agentic Orchestration Data Orchestration & Lineage AI Governance, Compliance & Enterprise Controls AI Platform Services, Integrations & Runtime Key Responsibilities Product Strategy & Customer Discovery: Define product vision, strategy, and roadmap for a major product area. Conduct customer discovery and design partner engagements to validate product direction. Translate customer problems into differentiated product capabilities and business value. Analyze market trends, competitors, and emerging AI technologies to inform product strategy. Product Execution Partner closely with Engineering and UX to deliver high-quality products from concept through launch. Write clear product requirements and prioritize engineering investments. Drive execution across cross-functional teams to deliver customer outcomes. Design AI-native experiences that balance innovation with enterprise-grade governance, security, and explainability. Go-to-Market Partner with Product Marketing, Sales, and Customer Success to ensure successful product launches and customer adoption. Support customer briefings, analyst engagements, sales enablement, and strategic customer meetings. Qualifications 8-12+ years of Product Management experience in enterprise software. Proven experience delivering AI products from concept through launch. Strong technical aptitude with cloud-native platforms, distributed systems, or enterprise infrastructure software. Experience working directly with enterprise customers and engineering teams. Excellent written and verbal communication skills with the ability to influence technical and business stakeholders. Preferred Experience Experience in one or more of the following: Enterprise Automation / Workload Automation Data Platforms & Data Engineering AI Infrastructure or Agentic AI Observability, DevOps, Platform Engineering, or Cloud Infrastructure Experience with modern AI platforms, LLMs, agent frameworks, or cloud-native developer platforms Why Join BMC Build category-defining AI products on top of one of the industrys largest enterprise automation platforms. Leverage an install base that includes many of the Fortune 500, allowing you to focus on innovation rather than distribution. Work directly with senior product and engineering leaders to shape BMCs long-term AI strategy. Help define the future of enterprise orchestration by bringing agentic AI to mission .
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