AI Product Operations Specialist

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

📋 Description

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

• Reproduce edge cases, capture logs and screenshots, document clear reproduction steps, and manage tickets in Shortcut (Clubhouse).

• Validate solutions and execute smoke and regression tests prior to and following deployments.

• Deliver structured, actionable insights to the Head of Engineering as well as product and engineering teams.

• Gather and synthesize feedback from assistants and users to create prioritized improvement plans.

• Evaluate internal software and suggest data-driven enhancements for workflows and user experience.

• Assess broken workflows, identify potential failure points, and work alongside engineers to determine root causes.

• Compile deployment updates and verify that production changes function as intended.

• Develop streamlined test plans for unclear features and monitor outcomes until resolved.

• Organize and manage the Head of Engineering’s task list while ensuring follow-through across a team of over 30 members.

• Maintain and optimize work queues while highlighting priorities.

• Utilize AI tools for calendar management and coordinate with stakeholders effectively.

• Establish scalable processes, enhance task flows and handoffs, and minimize recurring failure modes.

• Utilize AI productivity tools to automate routine procedures and boost throughput.

⛳️ Requirements

• A demonstrated technical mindset with strong proficiency in AI tools (e.g., ChatGPT, LLM workflows) or a background in programming.

• Verified experience in product operations, QA/testing, technical support, or a similar position working closely with engineers.

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

• Ability to operate independently in fast-paced, ambiguous 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 3–4 weeks).

• A computer with a minimum of 8GB RAM and an Intel i5 core processor/AMD Ryzen 5 Processor or better.

• Internet speed of at least 40MBPS.

• A headset with a noise-canceling mic 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 mindset, and clear documentation; familiarity with Shortcut (Clubhouse), GSuite, Slack, experimental internal tools, and messaging tools.

• Ability to prioritize tasks, manage work queues, design streamlined processes, consolidate deployment updates, and handle calendars using AI tools.

• A proactive ownership mindset, high attention to detail, resilience in the face of technical issues, curiosity, candid constructive feedback, and the ability to work both independently and collaboratively with engineers.

🏝️ Benefits

• No benefits package included.