Applied AI Customer Engineer (English, French)
Job Summary
Job Description
The Applied AI Customer Engineer will grow the adoption of Google's Customer Engagement Suite in EMEA. This role involves building and maintaining relationships with customers and partners, conducting technical workshops and training, running demos and PoCs, and providing feedback to product teams. Responsibilities include overseeing technical pre-sales activities, building a community of AI partners, representing customer needs to influence product direction, and partnering with cross-functional teams to execute the Applied AI strategy. The ideal candidate possesses strong conversational application development experience (Python, Node.js, Go, or Java), fluency in English and French, and experience with contact center technologies. Up to 50% travel is required.
Must have:
- Experience building conversational applications
- Experience with integrations (Python, Node.js, Go, Java)
- Fluent English and French communication
- Up to 50% travel
- Technical pre-sales experience
Good to have:
- Experience with contact center technologies (Avaya, Genesys, etc.)
- Cloud architecture and technologies experience
- RFI/RFP response experience
- Ability to build reusable assets (demos, architecture diagrams)
- Experience working in EMEA
6 skills required
Job Details
Minimum qualifications:
- Experience building conversational applications and contact centre applications
- Experience building integrations using one of more of the following languages: Python, Node.js, Go, or Java.
- Ability to communicate in English and French fluently in order to communicate in this customer-facing sales role.
- Ability to travel up to 50% of the time as required.
Preferred qualifications:
- Experience with contact center technologies and platforms (e.g. Avaya, Genesys, Cisco, Mitel, Twilio, Liveperson, etc.) or Cloud Contact Center solutions.
- Experience with modern cloud architectures and technologies.
- Experience in responding to Request for Information (RFI)/ Request for Proposal (RFP).
- Ability to build reusable assets like demos and high level architecture as part of training and enablement programs.
About the job
The Customer Engagement Suite with Google Applied AI delights customers with an end-to-end application that combines our most advanced conversational AI, with multimodal and omnichannel functionality to deliver exceptional customer experiences at every touchpoint.
In this role, you will be responsible to grow the adoption of Customer Engagement in EMEA by virtue of your experience in building conversational applications. You will form part of a central and highly specialised technical team that engages directly with customers and partners with the focus to accelerate the usage of Conversational AI solutions on top of Google Cloud Platform. You will work with cross-functional peers support selected enterprise customers in their adoption journey. You will grow the ecosystem of partners by running technical workshops and trainings. You will be running demonstrations and small proofs-of-concept with customers. Provide feedback to Global Product Leads and Product Management.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Oversee technical pre-sales activity in establishing technical viability and fit for customers with the Applied AI suite (including conversational agents, agent assist, conversational insights and Google CCaaS).
- Build and nurture a community of AI partners and practitioners for Applied AI across EMEA.
- Represent EMEA customers, partners and field to influence product direction.
- Partner with Customer Engineering leaders, Product leaders, Sales strategy, Developer Advocates and executive leadership to execute the Applied AIt strategy.
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