AI Product Operations Specialist

Job not on LinkedIn

🔥 13 hours ago

🇵🇭 Philippines – Remote

💵 $7 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚡️ Product Operations

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Magic, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

⚡ Productivity

B2B • Productivity

Magic, Inc. is a company that provides a frictionless way to connect businesses with thoroughly vetted and cost-effective remote workers for various key functions. Their services include virtual assistance, customer service, sales lead generation, and scheduling, leveraging a combination of automation and the expertise of remote workers to streamline business operations.

📋 Description

• 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

• 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

• No benefits package included