AI Enablement Specialist – Google Cloud, LLM & Data
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Some ghost-posting signals
- open for 89 days (60–89 days is elevated risk)
- 19 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
Key Responsibilities
AI & Automation
Evaluate, implement, and manage AI tools (e.g., Gemini, Claude)
Design use cases and workflows leveraging LLMs
Drive adoption through workshops, documentation, and enablement
Monitor usage, impact, and ROI of AI initiatives
Data & Analytics
Build dashboards using Looker / Looker Studio
Write and optimize SQL queries in BigQuery
Translate business requirements into data-driven insights
Cloud & Integration
Develop solutions on Google Cloud (Cloud Functions, IAM, etc.)
Build and manage API integrations (internal & third-party)
Support scalable and secure architecture
Stakeholder Collaboration
Partner with cross-functional teams to identify AI opportunities
Communicate insights clearly to both technical and non-technical audiences
Mentorship & Enablement
Mentor junior team members and interns
Support internal AI learning initiatives
Required Skills
Experience with LLM tools (Gemini, Claude, OpenAI, etc.)
Strong SQL and data analytics experience (BigQuery preferred)
Hands-on experience with GCP
API integration experience (REST, OAuth)
Strong communication and stakeholder management skills
Good to Have
Experience with Looker / Looker Studio
Python or scripting for automation
Exposure to workflow automation tools (Zapier, n8n, etc.)
Experience in consulting or internal enablement roles
Why Join?
Work on cutting-edge AI use cases
Influence AI adoption across the organization
Opportunity to work across data, AI, and cloud
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