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Remote role plus popular product title but specialized data/AI focus yields medium competition.
Data and AI product skills are transferable across industries, though fintech/capital markets domain knowledge is advantageous.
Explicit 6+ years requirement, mandatory data/AI product experience, and technical fluency (SQL/LLM concepts) increase strictness.
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Own and scale Oportun's internal data products powering Capital Markets, FP&A, and Enterprise Analytics including forecasting models and data platforms.
Lead the Gen AI analytics initiative (OportunResearch) by defining roadmap, designing workflows, and driving organizational adoption.
Partner with engineering to enhance the semantic layer and data certification to support AI-powered querying and agentic AI APIs.
6-10+ years of product management experience, with at least 3 years focused on data products, analytics platforms, or AI/ML systems.
Experience shipping data-intensive products in complex enterprise environments and collaborating with data engineering and ML teams.
Technical fluency: ability to read SQL, understand data modeling, system architecture, and concepts like LLMs, RAG, and agentic AI.
Work Experience Required: 6-10+ years in product management, including data/AI product focus.
Experience leading product strategy for complex internal data and AI products in enterprise or financial services environments.
Strong product discovery and stakeholder management skills to align multiple teams (engineering, analytics, business) on roadmaps and adoption.
Comfort with ambiguity and technical domains involving AI/ML, data infrastructure, and building internal tools for demanding business users.