AI-Native Product Engineer

Cuboid Ventures is looking for an AI-Native Product Engineer to help shape and build AI-powered products for real estate developers and other complex, workflow-driven industries. We are looking for someone who has solved complex problems, interviewed stakeholders, recognised patterns across workflows and data, identified opportunities, designed the right product architecture and used AI to help turn that vision into reliable production software. This is a hybrid role with 3 days in office. We are currently located in Mount Waverley. The role You will work closely with founders, users and domain specialists to take ideas from discovery through to implementation. You should be able to: Interview stakeholders and understand their goals, decisions, workflows and constraintsElicit and clarify product requirements from ambiguous problemsIdentify opportunities for AI, automation and conventional softwareRecognise reusable patterns across users, workflows and productsTranslate requirements into product concepts, workflows, data models and system designsCreate clear implementation plans and break work into verifiable incrementsBuild and ship full-stack product featuresDirect AI coding agents with appropriate context, constraints and architectural guidanceReview, test and refine AI-generated outputRemain accountable for the quality, reliability and coherence of the finished system You do need strong technical judgment, structured thinking and the ability to carry an idea from ambiguity through to a working product. AI-native development Our development process is AI-native, but it is not vibe coding. We use AI across research, requirements, design, planning, implementation, testing, documentation, debugging and refactoring. We are looking for someone who understands how to use AI agents effectively while knowing where human judgment is essential. You should be able to decompose work clearly, provide agents with accurate context and constraints, and verify generated output before it reaches production. What you may work on Translating real-world operational workflows into coherent product systemsDesigning and building full-stack featuresDeveloping AI-assisted workflows and decision-support toolsWorking with documents, communications, structured data and external systemsDesigning data models, APIs, integrations and system boundariesBuilding human-in-the-loop controls for consequential AI outputsPrototyping and validating new product opportunitiesImproving testing, permissions, observability and production reliability What we are looking for You may be a strong fit if you have: Commercial experience building and shipping full-stack software productsStrong product and systems thinkingExperience interviewing users or stakeholders and eliciting requirementsThe ability to turn ambiguous problems into clear product and technical plansGood judgment around architecture, data modelling and system boundariesExperience with TypeScript, React, APIs and PostgreSQLExperience using AI coding agents in a structured development processExperience integrating language models or AI services into production applicationsAn understanding of structured outputs, tool use, retrieval, context management and human reviewA disciplined approach to testing, verification and production qualityClear communication skills and the confidence to explain technical decisions Experience in property, construction, finance, workflow software or other document-heavy industries would be valuable, but is not essential. Our current technology includes React, TypeScript, Supabase, PostgreSQL, AI models and agent infrastructure. Experience with every technology is not required. Why join us? You will have the opportunity to: Work directly with founders, users and industry practitionersSolve meaningful operational problemsShape products and architecture, not just implement ticketsBuild AI into the foundations of a growing product ecosystemTake ideas from stakeholder discovery through to productionInfluence the technical and product direction of the business How to apply Send us: Your resume or LinkedIn profileLinks to relevant products, projects or technical workA short explanation of how you use AI agents in your development processAn example of a complex or ambiguous problem you helped turn into a coherent product or system We are more interested in how you approached the problem, made decisions and validated the outcome than in how much code you personally wrote.