Product Lead
Leads product development at an AI-native financial OS for health systems, owning high-impact roadmap areas from customer needs to launch. Drives fast MVPs using frontier AI models, partnering with engineering and customers for impactful execution.
About the job
What you'll be doing
-
Define and prioritize product bets
Synthesize customer, executive, and internal input to identify the highest-impact opportunities and drive clear product direction. -
Own product development end-to-end
Drive features from idea through requirements, build, and launch, with a sharp focus on speed, quality, and business impact. -
Work directly with customers
Engage with users to understand workflows, validate ideas, and ensure the product reflects real-world usage. -
Partner closely with engineering and design
Translate product requirements into technically sound plans, balancing speed with long-term scalability. -
Build and iterate quickly
Continuously identify new ways to build products on top of the latest model capabilities. Develop the product playbook, not follow a checklist.
Who you are
- A product builder with strong ownership: You’ve led product initiatives end-to-end and are comfortable owning outcomes. You know how to weight the risks and benefits of building with new model capabilities.
- Customer-focused and execution-driven: You move quickly from problem → product and prioritize what drives real impact.
- Technically fluent: You’re comfortable building with frontier models, discussing new data models, and working alongside system constraints. You can work closely with engineering through all these workflows.
- Strong communicator: You bring clarity and urgency to complex problems and align stakeholders effectively.
- Comfortable in dynamic environments: You’re willing to travel to customers and operate close to real-world workflows. You are constantly engaging with emerging research and industry trends to deliver innovative product experiences.
Skills
Ai Models, Frontier Models, Product Roadmap, Customer Workflows, Data Models, Mvp Development, Ai Technologies, Product Requirements, Engineering Collaboration, Emerging Research
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