Solutions Consultant II, Workspace AI & Editors Community

Pitt State; New York (NY); On-site; USD 92,000 - 130,000; Full time

Job summary

Google is seeking a role within gTech to advocate for users by delivering trusted experiences across the Workspace ecosystem. You will serve as the primary support contact for Google Slides and lead Workspace Editors Community coverage, driving Ask Google Help AI support.

You will build deep product knowledge, monitor user sentiment, and collaborate with Product, Engineering, and UXR teams to shape early roadmap and AI features that improve user outcomes.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in technical project management, program management, product support, management consulting, or a customer-facing role.
• Experience analyzing quantitative and qualitative data (e.g., using spreadsheets, SQL, or business intelligence dashboards) to identify trends and inform business or product decisions.

Responsibilities

• Lead end-to-end support and launch readiness for Google Slides and Gemini AI.
• Manage support operations and Advocacy for the Workspace Editors Help Community.
• Drive deployment readiness, transcript quality analysis, and personalization for Ask Google Help conversational AI.
• Advocate for consumer, enterprise, and education users by synthesizing multi-channel data for product decisions.
• Collaborate with cross-functional gUP and workspace stakeholders to improve operational metrics.

Skills

Data analysis

Project management

User advocacy

Education

Bachelor’s degree

Tools

SQL

Google Workspace

Conversational AI tools

Job description

Google is seeking a role within gTech to advocate for users by delivering trusted experiences across the Workspace ecosystem. You will serve as the primary support contact for Google Slides and lead Workspace Editors Community coverage, driving Ask Google Help AI support.

You will build deep product knowledge, monitor user sentiment, and collaborate with Product, Engineering, and UXR teams to shape early roadmap and AI features that improve user outcomes.