AI Product Operations Specialist

Magic, Inc

. Operate, stress-test, and quality-check cutting-edge AI tools and LLM-based systems .

Posted 10/2/2026full-timeRemote • PhilippinesMid-LevelSenior💰 $7 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong AI tool fluency and a technical mindset, with proven experience in QA methodologies, test design, and execution. Capable of providing structured feedback, managing workflows, and collaborating effectively with engineering teams in fast-paced environments.

Highest-signal resume keywords

AI Tool ProficiencyQA MethodologiesTest Design And ExecutionClear DocumentationProduct Operations Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Tool FluencyLLM WorkflowsDebugging MindsetTest DesignQuality AssuranceTechnical SupportProduct FeedbackWorkflow OptimizationSmoke TestingRegression Testing

Soft Skills

Exceptional Written CommunicationProactive OwnershipHigh Attention To DetailCuriosityResilience

Tools & Technologies

Shortcut (Clubhouse)GSuiteSlackAI Productivity ToolsExperimental Internal Tools

Industry Keywords

Product OperationsQA/TestingTechnical SupportSystems ThinkingTask Prioritization

About the role

Key responsibilities & impact

Operate, stress-test, and quality-check cutting-edge AI tools and LLM-based systems
Reproduce edge cases, capture logs/screens, write clear reproduction steps, and file/track tickets in Shortcut (Clubhouse)
Validate fixes and run smoke/regression tests before and after deployments
Provide structured, actionable feedback to the Head of Engineering and product/engineering teams
Collect and synthesize feedback from assistants/users into prioritized improvements
Critique internal software and propose data-backed workflow and UX enhancements
Triage broken workflows, diagnose likely failure points, and collaborate with engineers on root causes
Consolidate deployment updates and confirm production changes behave as expected
Design lightweight test plans for ambiguous features and track outcomes through resolution
Manage and organize the Head of Engineering’s to-do list and drive follow-through across a 30+ person team
Maintain and optimize work queues and surface priorities
Handle calendar management via AI tools and coordinate with stakeholders
Build scalable processes, streamline task flows and handoffs, and reduce repeated failure modes
Leverage AI productivity tools to automate routine steps and increase throughput

Requirements

What you’ll need

Demonstrated technical mindset with strong AI tool fluency (e.g., ChatGPT, LLM workflows) or a programming background
Proven experience in product operations, QA/Testing, technical support, or similar role working closely with engineers
Exceptional written communication for clear, structured bug reports and product feedback
Comfortable operating independently in ambiguous, fast-paced environments with minimal SOPs
Availability to work 40 hours/week, Monday–Friday, 9:00 am–5:00 pm Eastern Time (may shift slightly earlier after 3–4 weeks)
Computer with at least 8GB RAM, an Intel i5 core processor/AMD Ryzen 5 Processor and up
Internet speed of at least 40MBPS
Headset with an extended mic that has noise cancellation and a webcam
Back-up computer and internet connection
Quiet, dedicated workspace at home
AI tool proficiency; systems thinking; test design and execution; QA methodologies; debugging mindset; clear documentation; comfort with Shortcut (Clubhouse), GSuite, Slack, experimental internal tools, and messaging tools
Ability to prioritize tasks, manage work queues, design lightweight processes, consolidate deployment updates, and manage calendars via AI
Proactive ownership, high attention to detail, resilience when tools break, curiosity, candid constructive feedback, and ability to work independently and collaboratively with engineers

Benefits

Comp & perks

No benefits package included