Job Title:

Sales Engineer

Job Description

We are seeking a dynamic Sales Engineer to support the adoption and growth of Google's Gemini AI across B2B Clients. In this role, you will work cross-functionally to identify, document and scale Gemini Use-Cases that drive Operational Efficiency and Innovation for our Clients. You will play a key role in increasing Gemini adoption by developing use-case documentation, measuring usage and impact. The ideal candidate will be responsible for implementing best practices, developing use cases, and driving improvements in sales outcomes, efficiency, and effectiveness.

Key Responsibilities:

Collaborate with Delivery Teams, Clients and Internal Teams to identify AI use cases aligned with Gemini's capabilities.

Create clear, repeatable documentation for AI use cases including expected outcomes

Track usage, performance and value of deployed Gemini Use cases. Analyze adoption trends and identify improvement areas

Build & maintain a catalog of scalable and repeatable Gemini Use Cases to enhance sales processes and yield improvement.

Develop and implement best practices for utilizing Gemini to enhance sales processes.

Gather and analyze feedback from sales teams to inform product development and improvements.

Conduct training sessions and create documentation to ensure sales teams are proficient in using Gemini.

Work closely with sales teams to align Gemini capabilities with sales messaging and marketing strategies.

Requirements:

•           Are able to work independently and collaboratively

•           Can adapt to a fast-paced, high-demand work environment

•           Have experience in Google Gemini and Google Tools.

•           Have Strong analytical and problem-solving skills.

•           Have Excellent communication and presentation skills.

•           Experience with AI and machine learning technologies is a plus.

If you feel you don’t check every box, we still encourage you to apply.

Location:

Ireland, Dublin -Santry

Language Requirements:

Time Type:

Full time

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