Founding Product Engineer

Job not on LinkedIn

🕒 June 29

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Rockstar

1 - 10 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes.

📋 Description

• Own core product workflows for tax prep, tax review, bookkeeping, client requests, and practice-management operations. • Design and build product abstractions that turn messy accounting work into repeatable, reviewable systems. • Use the client's internal agent platform to move from product context to working software quickly, then inspect the result until it is right. • Build interfaces, workflow states, data models, and agent behavior that hold up in live customer usage. • Codify repeatable patterns from customer deployments back into the main product. • Use the product yourself, inspect logs and data when needed, notice what is wrong, and push until the details are right.

🎯 Requirements

• strong programming skills and have shipped production applications, serious internal tools, or customer-facing automation • high agency and can navigate ambiguity in messy customer environments where the problem is not handed to you cleanly • ownership mentality and are willing to do whatever it takes to make something work • good communication skills to explain technical tradeoffs and earn trust with non-technical stakeholders • comfortable using AI coding agents as your main implementation tool and holding their output to a high bar.

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