Remote Revenue & Cs Operations Specialist

Yo Ai Labs; Santiago; Remote; CLP 28,000,000 - 42,000,000; Full time

Job summary

Yo Ai Labs is seeking an AI Operations & Enablement Analyst to build and govern a searchable library of validated playbooks and prompts, ensuring version control and clear change notes. You will enable global support teams with targeted trainings and office hours to shorten resolution times.

You will track usage, retention, and feature adoption, produce dashboards, and deliver leadership readouts connecting metrics to risks and next steps, with a focus on responsible AI practices and

Qualifications

• Experience in matrixed environments coordinating across teams.
• Proven ability to develop and maintain AI playbooks and prompts.
• Knowledge of responsible AI, privacy and data handling.
• Strong technical writing for knowledge base content.
• Track adoption metrics and segment insights by persona/region.

Responsibilities

• Maintain a governed, searchable library of approved playbooks and prompts (version control, change notes, and deprecation of outdated patterns).
• Create and maintain knowledge base articles (how-to, troubleshooting, known issues, escalation paths) to keep the Service Desk and OSS ready to support AI tools and products.
• Deliver targeted enablement for support teams (walkthroughs, office hours, and release briefings) to reduce time-to-resolution and improve first-contact support.
• Track and report adoption and value metrics (usage, retention, feature penetration, time saved), including segmentation by persona, region, and business line.
• Analyze trends to identify adoption barriers and opportunities; recommend targeted actions such as new playbooks, training updates, or product feedback.
• Produce dashboards and monthly/quarterly leadership readouts that connect adoption metrics to outcomes, risks, and recommended next steps.

Skills

Matrixed collaboration

AI playbooks

Responsible AI

Technical writing

First contact resolution

Analytics & metrics

Job description

Title

AI Operations & Enablement Analyst

Location

CHL-SANTIAGO, CO-CU-Bogotá D.C., AR-M-Mendoza, MX-MX-Ciudad de México, PE-LIM-Lima, BR-SP-São Paulo

Job Type

Full time

Responsibilities

• Maintain a governed, searchable library of approved playbooks and prompts (version control, change notes, and deprecation of outdated patterns).
• Create and maintain knowledge base articles (how-to, troubleshooting, known issues, escalation paths) to keep the Service Desk and OSS ready to support AI tools and products.
• Deliver targeted enablement for support teams (walkthroughs, office hours, and release briefings) to reduce time-to-resolution and improve first-contact support.
• Track and report adoption and value metrics (usage, retention, feature penetration, time saved), including segmentation by persona, region, and business line.
• Analyze trends to identify adoption barriers and opportunities; recommend targeted actions such as new playbooks, training updates, or product feedback.
• Produce dashboards and monthly/quarterly leadership readouts that connect adoption metrics to outcomes, risks, and recommended next steps.

Skills

• Demonstrated success working in a matrixed environment, aligning priorities across teams to execute shared goals.
• Experience developing and maintaining reusable AI playbooks and prompt patterns, including version control, change notes, and retirement of outdated content.
• Working knowledge of responsible AI and safe-use practices (privacy, confidentiality, data handling) and the ability to embed quality and verification guardrails into enablement materials.
• Strong technical writing skills with experience producing knowledge base content (how-to, troubleshooting, known issues, escalation paths) and applying content standards/taxonomy to keep information easy to find.
• Proven ability to enable support teams with a focus on improving first-contact resolution and time-to-resolution.
• Strong analytical skills with experience tracking adoption and value metrics (usage, retention, feature penetration, time saved) and segmenting insights by persona, region, and business line.