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AI Product Operations Specialist - Freelance, Remote

Magic, Inc
Worldwide$7–7Remote3mo ago
Employment
Full-time

About the role

The Impact you’ll make

  • Operate, stress-test, and quality-check cutting-edge AI tools and LLM-based systems that may frequently break
  • Reproduce edge cases, capture logs/screens, and write clear repro steps; 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 other assistants/users; turn insights into prioritized improvements
  • Critique internal software and propose data-backed enhancements to workflows and UX
  • Triage broken workflows, diagnose likely failure points, and collaborate with engineers on root causes
  • Consolidate deployment updates and confirm changes behave as expected in production
  • Design lightweight test plans for ambiguous features; track outcomes and follow through to resolution
  • Manage and organize the Head of Engineering’s to-do list; drive proactive follow-through across a 30+ person team
  • Maintain and optimize work queues; ensure the right priorities are surfaced at the right time
  • Handle calendar management via AI tools; coordinate with stakeholders as needed
  • Build simple, scalable processes in ambiguous environments; streamline task flows and handoffs
  • Propose and implement improvements to reduce repeated failure modes and increase throughput
  • Leverage AI productivity tools to automate routine steps and create operational leverage

Skills, Knowledge and Expertise

  • 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
  • Technical: AI tool proficiency; systems thinking; test design and execution; QA methodologies; debugging mindset; clear documentation; comfort with Shortcut (Clubhouse), GSuite, Slack, and experimental internal tools (e.g., Magic AI); familiarity with messaging tools (e.g., Messenger). Bonus: basic scripting/automation, product analytics literacy.
  • Operational: Task prioritization; work queue management; lightweight process design; deployment update consolidation; calendar management via AI.
  • Behavioral: Proactive ownership; “figure it out” mentality; high attention to detail; resilience when tools break; curiosity and growth mindset; comfort giving candid, constructive feedback; ability to work independently and collaboratively with engineers.
  • You love being an early power user of new AI tools, enjoy breaking things to make them better, and can translate ambiguous symptoms into actionable engineering feedback.
  • You thrive in uncertainty, don’t need handholding, and naturally create order and leverage through systems and process improvements.
  • You communicate crisply in writing, challenge assumptions respectfully, and partner well with engineers and product managers.
  • You want to grow at the intersection of AI operations, product testing, and systems thinking. Bonus: You’re in a LATAM timezone for strong overlap with EST, and/or you have experience in programming, product, or data analytics.
  • Remote position
  • Must have a reliable internet connection and a quiet workspace
  • Required to provide own computer with Intel Core i5 or something similar or higher operating system
  • 40 hours per week
  • M-F 9am to 12 noon, 1 pm to 4 pm US Timezone
  • $7 per hour
  • No benefits package included

Benefits

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