Ramp
Mid
Generalist PM owning AI-native product vision across Ramp's finance-automation platform
Ramp is hiring generalist Product Managers to own vision, strategy, and roadmap for AI-native products across domains like Spend Management, Risk, Growth, or Treasury. The role demands hands-on rapid prototyping (Cursor, Bolt) plus fluency in core LLM concepts, paired with high agency in a fast, data-dense, unforgiving environment.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Hands-on AI-native prototyping (Cursor, Bolt, rapid build-to-production)
- Fluency with core LLM concepts (prompting, fine-tuning, embeddings, retrieval, evaluation) applied to product decisions
- End-to-end product ownership from ambiguity to shipped roadmap
- Balancing data-driven decisions against situations where data can't answer the question
- Leading small cross-functional eng/design teams with urgency and agency
- Translating technical complexity into clear narratives for varied audiences
Common question themes
Walk through a product you owned end-to-end, from customer insight to shipped roadmap decision
Describe a time you used a prototyping tool (Cursor/Bolt/similar) to fast-forward a build to production-ready
Explain an LLM-system design tradeoff you made (e.g., retrieval vs. fine-tuning, eval design) and why
Tell me about a decision you made when the data didn't have the answer
How have you led a small, high-agency team through an ambiguous, high-urgency problem?
How do you translate a complex technical system into a compelling narrative for executives?
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