AI Product Operations Specialist

This is a fully remote position, open to applicants in United States.

📋 Description

• Operate, stress-test, and conduct quality checks on AI tools and LLM-based systems.

• Reproduce edge cases, capture logs/screens, document the reproduction steps, and manage tickets in Shortcut (Clubhouse).

• Validate fixes and perform smoke/regression tests before and after deployments.

• Provide structured feedback to the Head of Engineering as well as product and engineering teams.

• Gather and synthesize user feedback into prioritized enhancements.

• Evaluate internal software and suggest data-driven improvements in workflow and user experience.

• Triage broken workflows, identify potential failure points, and collaborate with engineers to determine root causes.

• Consolidate deployment updates and verify that production changes function as expected.

• Create lightweight test plans and monitor outcomes until resolution.

• Organize and manage the Head of Engineering’s to-do list, ensuring follow-through across a team of over 30 people.

• Maintain work queues and highlight priorities.

• Manage calendar tasks using AI tools and coordinate with stakeholders.

• Develop scalable processes, streamline task flows and handoffs, and minimize recurring failure modes.

• Utilize AI productivity tools to automate routine tasks and enhance throughput.

⛳️ Requirements

• Demonstrated technical aptitude with strong fluency in AI tools (e.g., ChatGPT, LLM workflows) or a programming background.

• Proven experience in product operations, QA/Testing, technical support, or a similar role closely collaborating with engineers.

• Exceptional written communication skills for crafting clear and structured bug reports and product feedback.

• Ability to operate independently in ambiguous, fast-paced environments with minimal standard operating procedures.

• Availability to work 40 hours per week, Monday to Friday, from 9:00 am to 5:00 pm Eastern Time (may shift slightly earlier after 3 to 4 weeks).

• Computer equipped with a minimum of 8GB RAM and an Intel i5 or AMD Ryzen 5 processor or higher.

• Internet connection speed of at least 40MBPS.

• Headset with an extended noise-cancelling microphone and a webcam.

• A backup computer and internet connection.

• A quiet, dedicated workspace at home.

• Proficiency in AI tools, systems thinking, test design and execution, QA methodologies, debugging, and clear documentation.

• Familiarity with Shortcut (Clubhouse), GSuite, Slack, experimental internal tools, and messaging platforms such as Messenger.

• Proactive ownership, attention to detail, resilience, curiosity, and the ability to work both independently and collaboratively.

🏝️ Benefits

• No benefits package included.