IBM Maximo Inventory Optimization (MIO) is the industry-leading cloud-based platform that helps asset-intensive organizations optimize their maintenance repair and operations (MRO) inventory. Trusted by the world's leading Oil & Gas Mining Transportation Utilities and Manufacturing companies MIO delivers measurable results—reducing unplanned downtime by up to 50% cutting inventory costs by up to 40% and increasing service levels by up to 25%.
We are looking for a Technical Product Manager to lead execution for MIO. This role is focused on defining detailed requirements working closely with development and design teams and ensuring product capabilities meet the needs of MRO-intensive industries.
The right candidate combines deep knowledge of MRO inventory and supply chain operations with hands-on product management skills. You’ll ensure features are delivered on time fit for purpose and aligned to the roadmap.
Key Responsibilities-
Translate client and stakeholder needs into clear product requirements user stories and epics.
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Maintain and prioritize the product backlog in partnership with engineering leads.
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Define workflows acceptance criteria and use cases to guide development decisions.
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Gain expert-level knowledge of MIO’s analytics and optimization capabilities and apply this knowledge to feature scoping and validation.
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Ensure integration requirements with ERP/EAM systems are well documented and executable.
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Track feature delivery progress and ensure quality and stability in every release.
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Provide clear documentation to support development QA and design teams.
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Partner with product leadership to align sprint execution with the overall roadmap.
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5+ years’ experience in MRO inventory management supply chain or asset-intensive operations (oil & gas mining utilities transportation or manufacturing).
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Hands-on experience with enterprise asset management (EAM) or ERP systems such as IBM Maximo SAP or Oracle.
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Strong ability to create user stories define workflows and work with Agile development teams.
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Solid understanding of inventory optimization methods: demand forecasting safety stock modeling criticality analysis and lead-time management.
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Bachelor’s degree in Engineering Supply Chain or related technical field.
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Experience with SaaS or cloud-hosted enterprise software.
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Familiarity with data-driven optimization and prescriptive analytics.
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Working knowledge of Agile tools such as Aha Jira or Github.
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Strong documentation and requirements management skills.