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📍 Remote | 💰 USD 60,000-85,000

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ModelVault is building the world’s first plug-and-play on-premise AI server — a fully-integrated appliance that ships with containerized LLMs, vision models, developer tools, and remote management built in. Designed for businesses that need local, secure, cloud-independent AI, ModelVault brings AI infrastructure in-house — without the complexity.

We’re looking for a founder-type Product Lead to drive the development of our v1 hardware + software platform. You’ll work side-by-side with the founding team to take the product from zero to pilot deployments — owning strategy, execution, and market feedback.

This is not just a product management job — it’s an opportunity to define a new category and build a company from the inside out.

🎯 What You’ll Own

• Shape the product vision for our first integrated AI appliance — what it does, who it’s for, how it works
• Define the v1 scope — which models to include, how to prioritize use cases, what UX + developer tools to build
• Work closely with engineering to ship local model serving, fine-tuning workflows, remote update systems, and UI/CLI interfaces
• Run product discovery with dev teams, research groups, and IT buyers to validate demand and refine positioning
• Lead roadmap planning, customer pilots, pricing tests, and go-to-market experiments
• Coordinate hardware + software integration with a focus on reliability, simplicity, and speed
• Build the early systems that support scale — remote diagnostics, patching pipelines, customer feedback loops
• Represent product thinking in every key decision — balancing technical feasibility with user impact and long-term leverage

🔧 You’ll Thrive If You…

• Have 4–10 years of experience in product, engineering, or technical founding — ideally in devtools, infra, AI/ML, or embedded systems
• Are fluent in technical product development: can work directly with engineers, understand system design tradeoffs, and write detailed specs
• Have a bias for action and clarity — can move from vision to build to feedback quickly
• Have worked on zero-to-one hardware/software products or deeply technical stacks