We are seeking a Technical Product Manager with a strong foundation in engineering or sales engineering or at least 3 years of hands-on product management experience. This role is ideal for individuals who combine deep technical knowledge with customer-centric insights enabling them to drive impactful product decisions that bridge technical capabilities and market demands within IBM’s Data and AI portfolio focused on data integration and real time streaming.
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Partner closely with engineering sales engineering and customer-facing teams to translate technical capabilities into product strategy.
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Lead product ideation roadmap development and release planning leveraging both business insights and technical know-how.
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Act as a subject matter expert for product features architecture and integration points.
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Analyze market trends and customer feedback especially from technical and sales conversations to refine product direction.
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Drive cross-functional alignment and clear communication between engineering sales and product stakeholders.
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Support pre-sales and post-sales activities providing product expertise to clients and partners.
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Measure and optimize product performance championing improvements based on business and technical metrics.
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At least 3 years of experience in product management OR a background in engineering or sales engineering.
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Demonstrable success leading product initiatives in technology-driven environments.
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Strong understanding of technical concepts software architectures or enterprise technology solutions.
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Ability to communicate complex technical topics clearly to non-technical stakeholders.
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Experience collaborating with engineering sales and customer success teams.
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Solid project management skills and familiarity with Agile/Scrum methodologies.
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Previous hands-on experience in software cloud platforms data solutions or enterprise B2B products.
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Prior success in sales engineering or customer-facing technical roles.
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Knowledge of product analytics user engagement metrics or technical sales cycles.
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Experience with developer tools APIs and technical integrations.
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Experience in the Data Integration space is not mandatory but deeply valued
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Advanced degree in engineering computer science business or a related STEM field.