Description
This role sits at the intersection of Engineering, Research, Forward Deployment Engineering, and our customers. You'll define what we build, why we build it, and ensure we're delivering meaningful value to enterprises navigating complex data challenges.
Key responsibilities
Own the product vision and roadmap for platform capabilities, including new interaction paradigms, data source integrations, and enterprise use cases
Partner with Research and Engineering to translate model capabilities into product features, define requirements, and ship iteratively
Collaborate with Forward Deployment Engineers to understand customer needs firsthand and feed insights back into product strategy
Engage directly with customers to validate problems, gather feedback, and build conviction around what to build next
Define success metrics and use data to inform product decisions
Navigate the unique challenges of productizing ML/AI capabilities for enterprise environments
Company
Fundamental develops foundation models tailored for real-world tabular data. Its flagship model NEXUS aims to predict outcomes across industries, with emphasis on enterprise-grade privacy, security, and production readiness. The company positions itself as building a new category of AI for tabular data, created by DeepMind alumni and backed by leading VCs.
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