Qualifications
• 8+ years’ experience within Product Management
• Bachelor’s Degree or equivalent work experience
• Prior experience in engineering, data engineering, or platform architecture roles, or as a technical product manager supporting internal engineering teams.
• Demonstrated experience building platform capabilities where engineering or analytical teams are the primary consumers.
• Familiarity with MLOps concepts and platforms, including model lifecycle management, deployment pipelines, monitoring, governance, or experimentation frameworks.
• You are adept at driving results across cross-functional teams through influence.
• You enjoy working with peers, stakeholders, and customers; you demonstrate strong communication and superb listening skills.
• You have a proven ability to run multiple initiatives and are comfortable interacting with all levels of an organization.
• You effectively prioritize and can support your decision-making through data and narrative.
• You have a pragmatic understanding of technologies, systems, and tools in an ever-changing environment.
• Experience with agile development practices, methodologies, and tools.
• Experience with ADLS, Microsoft Fabric, Databricks, and adjacent data or ML platform tooling used to support analytics, ML experimentation, or model deployment is a plus.
• Able to work flexible hours as required by business priorities