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Popular Product title and known employer, but platform/MLOps specialization reduces applicant density.
High — requires data-platform, MLOps, and technical product experience limiting cross-industry transferability.
High due to explicit 8+ years requirement and technical platform/MLOps experience required.
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Own and lead multiple product initiatives from ideation through delivery focusing on data platform capabilities supporting ML workflows and developer productivity.
Drive adoption of the data mesh framework and collaborate with engineering teams to enhance platform features for data pipelines, MLOps practices, and analytics.
Act as a key liaison among market groups, Centers of Excellence, and engineering teams to align product strategy with customer and business needs, including financial decision-making.
8+ years of Product Management experience.
Bachelor's Degree or equivalent work experience.
Experience in engineering, data engineering, platform architecture, or as a technical product manager supporting internal engineering teams.
Familiarity with MLOps concepts and platforms, including model lifecycle management and deployment pipelines.
Experienced in building platform capabilities primarily for engineering or analytical team consumers.
Skilled at managing multiple concurrent initiatives and influencing cross-functional teams across organizational levels.
Comfortable making data-driven decisions balancing customer needs with business objectives in a fast-moving environment.