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Popular mid-level product role, metro location, and broad AI/ML requirements increase applicant competition.
AI/ML product skills transfer across industries, though automotive domain and governance requirements moderately increase specificity.
Explicit 3-5 years plus required AI/ML product and cloud/GenAI skills increases filter strictness.
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Lead definition, delivery, and scaling of AI/ML and GenAI analytical products including end-to-end product lifecycle from discovery through production and adoption.
Own product vision, strategy, roadmap, and backlog; facilitate Agile ceremonies and manage a cross-functional product squad of 4-5 members.
Define product success metrics and communicate status, risks, and business impact to senior leaders and stakeholders.
3-5 years of experience in technical product management or product ownership, with emphasis on AI/ML analytical products.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Business/Technology Management, or related field.
Hands-on experience with Agile methodologies and leading small cross-functional delivery teams (3-5 members).
Working knowledge of AI/ML lifecycle, GenAI concepts (LLM, RAG), cloud platforms (AWS, Azure), and product delivery tools such as Jira or Azure DevOps.
Demonstrates strong technical fluency in AI/ML and cloud platforms combined with product leadership and Agile delivery experience.
Experienced in translating complex business needs into AI/ML product roadmaps and managing cross-functional teams in an Agile environment.
Able to measure business impact and communicate effectively with technical and non-technical stakeholders including senior leadership.