Job Description
As an EMEA Applied AI Customer Engineer, you will be responsible for growing the adoption of Customer Engagement in EMEA. You will be part of a specialized technical team engaging directly with customers and partners to accelerate Conversational AI solutions on Google Cloud Platform. Responsibilities include conducting technical pre-business activities, building an AI partner community, reflecting customer feedback to influence product direction, and partnering with cross-functional teams. You'll also run demos, POCs, workshops, and training, providing feedback to product leads and management. The role requires expertise in building conversational applications and integrations using languages like Python, Node.js, Go, or Java, along with experience in contact center technologies.
Good To Have:
- Modern cloud architectures
- Building reusable assets for training
- RFI/RFP experience
- Contact center tech experience (Avaya, Genesys, etc.)
- Cloud Contact Center solutions
Must Have:
- 10+ years building integrations (Python, Node.js, Go, Java)
- 10+ years building conversational & contact center apps
- English & Swedish fluency
- Up to 50% travel
- Technical pre-business activity
- Partner community building
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience building integrations using one of more of the following languages: Python, Node.js, Go, or Java.
- 10 years of experience building conversational applications and contact center applications.
- Ability to travel up to 50% of the time, as required.
- Ability to communicate in English and Swedish for this client-facing role.
Preferred qualifications:
- Experience with modern cloud architectures and technologies.
- Experience in building reusable assets like demos and high level architecture as part of training and enablement programs.
- Experience in responding to RFI/RFP.
- Experience with contact center technologies and platforms (e.g., Avaya, Genesys, Cisco, Mitel, Twilio, Liveperson, etc.) or Cloud Contact Center solutions.
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 multi-modal and omnichannel functionality to deliver exceptional customer experiences at every touch-point.
As an EMEA Applied AI Customer Engineer, you will be responsible for growing 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 specialized technical team that engages directly with customers and partners with the focus to accelerate the usage of Conversational AI solutions on Google Cloud Platform. You will work with cross-functional peers to support selected enterprise customers in their adoption journey. You will grow the ecosystem of partners by running technical workshops and training. You will run demonstrations and small proofs of concept with customers and 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
- Conduct technical pre-business activity in establishing technical viability and fit for the customers with the Applied AI suite (e.g., Including Conversational Agents, Agent Assist, Conversational Insights and Google Contact Center AI Platform (CCaaS), etc.).
- Build and nurture a community of AI partners and practitioners for Applied AI across EMEA.
- Reflect the feedback of EMEA customers, partners, and the field to influence product direction.
- Partner closely with Customer Engineering leaders, Product leaders, business strategy, Developer Advocates and executive leadership to execute the Applied strategy.
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