Innovation Product Engineer

VideaHealth • New York City, NY

1d

About The Position

Role Overview We are looking for a "10x Builder" who leverages the latest AI development tools to rapidly conceptualize, build, and deploy functional prototypes. You will operate as an autonomous unit, bypassing traditional engineering bottlenecks by using AI to generate code, design architectures, and stand up infrastructure. Your mission is validation velocity : proving technical feasibility and product-market fit through working software before we commit to a full-scale engineering build.

Requirements

• Polyglot Logic: You don't need to be a master of one language, but you must be a master of system architecture . You should know enough Python, TypeScript, and SQL to guide AI agents to write working code.
• Prompt Engineering for Development: Advanced ability to "co-author" complex software with AI, including debugging AI-generated hallucinations and refactoring legacy AI code.
• Architecture Intuition: Ability to choose the right "Lego blocks" (APIs, Serverless functions, BaaS) to stand up a product instantly.
• Product Sense: A "founder mindset." You aren't just building to spec; you are building to test a hypothesis. You know when to cut corners to move faster and when quality matters.

Responsibilities

• Zero to One Track Record: You’ve been in roles taking greenfield ideas and validating concepts that have resulted in successful revenue generating products.
• Rapid Feasibility Testing: Take a raw "What if...?" idea and turn it into a clickable, data-connected application within 48–72 hours to prove it can work.
• Solo End-to-End Build: Use AI coding agents and LLMs to build "Stage 1" functional products (Full-stack) from scratch without needing a dedicated backend or frontend team. This initial proof of concept will likely be thrown away - you should be comfortable with that.
• AI-Driven Toolchain Management: Curate and master a stack of "Multiplier Tools" (e.g., v0.dev for UI, Cursor/Bolt for logic, Supabase for instant backends, and Replicate for model integration).
• Customer Obsessed: Regular touchpoints with customers to understand pain points and run iterative feedback loops with prototypes to validate it meets their needs.
• Technical De-risking: Identify the "hardest" part of a concept and build a specific proof-of-concept (POC) to ensure the tech is viable before the business invests.
• Hand-off Documentation: When a prototype is validated, provide the "AI-generated blueprint" and whatever code to the core engineering team for assessment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees