ironquill.tech/board

$ cat jobs/product-discovery-prototyping-engineer-braiins-bfd5a5c9b55f.json

Product Discovery & Prototyping Engineer

Braiins·Worldwide·Braiins·mid
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✨ WHAT AWAITS YOU HERE: As a Product Discovery & Prototyping Engineer, you will help us quickly explore, validate, and shape new product ideas across Braiins Pool, Hashpower, and related products. You will work as a close partner to the product owner, turning business ideas, user problems, requirements, and early designs into clear specifications, experiments, clickable or functional prototypes, and validated product proposals. This role combines analytical thinking, product discovery, data analysis, requirements definition, communication with design and engineering teams, and AI-assisted prototyping. You do not need to be a full-time production developer from day one, but you should be comfortable learning technical tools, using AI responsibly, and building lightweight prototypes that help us decide what is worth building properly. 🤝 KEY RESPONSIBILITIES: - Work closely with the product owner to explore, structure, and validate new product and feature ideas. - Translate business goals, customer problems, and stakeholder input into functional and non-functional requirements. - Create product discovery materials such as problem statements, user stories, acceptance criteria, flows, edge cases, validation plans, and decision records. - Use AI-assisted development and prototyping tools to create quick experiments, mockups, clickable prototypes, scripts, dashboards, or lightweight functional prototypes. - Cooperate with design, backend, frontend, QA, support, and data-oriented stakeholders to clarify feasibility, user value, expected impact, and operational consequences. - Help verify product viability before full engineering investment: user value, complexity, dependencies, supportability, risks, and measurable success criteria. - Query and interpret data from telemetry databases to help to validate ideas. - Document findings clearly so engineering teams can continue from validated discovery into implementation. - Actively improve our discovery and prototyping process,