Product Manager Paid Consultant - Development & Engineering Workflows

We are seeking experienced Software Engineers or Technical Leads to provide expert insight as part of a project for our AI Marketplace. No preparation required — just your real-world experience This is a one-time, paid, project-based interview engaged on a contract basis — not a full-time role. Location: U.S.-based experts only Engagement : One-time, project-based interview Work Type: Remote Estimated rate: $105/hour (prorated for the 30-minute task) What You’ll Do You’ll complete a ~ 30-minute recorded AI-led video interview where you explain how you actually do your work in practice. This interview will focus on: How engineers pick up and execute work Pull request and code review workflows CI/CD and engineering controls Handling scope changes or blockers You will be asked to explain workflows specifically within: development and engineering execution. You should only apply if you can confidently walk through these areas step-by-step based on your own experience and respond to AI-led interview questions with depth, clarity, and real-world examples. What We’re Looking For 8-10 years in software engineering (backend, frontend, or full-stack) in a production development environment . Direct, hands-on experience in development and engineering execution . Experience making or influencing decisions related to code quality, approvals, and implementation tradeoffs . Familiarity with tools such as: GitHub/GitLab, CI/CD systems, code review tools . Strong ability to clearly explain workflows, decisions, and reasoning ​​Experience owning or directly executing these workflows in a real production environment About the Interview The interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries. This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose. Once you complete the interview, we’ll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement. LinkedIn Global Data Privacy Notice for Job Candidates: