An implementer who takes direction from product and domain experts, uses generative AI (LLMs), no-code/low-code, and hands-on engineering to move from “what to build” to working prototypes and initial implementations in days —not weeks. This role bridges product, UX, and engineering: you shape the “how” at maximum speed, then hand off testable, specified work to the broader engineering organization.
This role expects a strong security mindset, with a clear understanding of data privacy, credential protection, device security, and the responsible use of corporate systems, tools, and accounts.
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Work from business requirements and constraints set with domain experts; design prompts and AI-assisted workflows and translate needs into clear system and UX specifications.
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Rapid prototyping (UI/UX mockups, thin vertical slices, foundational implementations) using AI tools, no-code/low-code, and code where it accelerates outcome.
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Run hypothesis validation cycles on prototypes; deliver high-fidelity handovers (behaviour, data contracts, non-functional notes) to engineering teams.
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Decode legacy specifications and extend existing products using AI-assisted analysis and implementation where appropriate.
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Continuously evolve how the product team builds—tooling, templates, and practices—as models and platforms change.