Forward Deployed Engineering Manager, Generative AI, Google Cloud — Google Switzerland
NewCHF 101'500 - 154'000
Google Switzerland · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- Today
SalaryCHF 101'500 - 154'000
Role overview
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- Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
- Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience as a sales engineer or technical consultant in a cloud computing environment or in a customer-facing role.
Main responsibilities
- Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
- Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
- Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering team.
- Identify skill gaps in emerging tech ( model context protocol (MCP), tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
Key requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience as a sales engineer or technical consultant in a cloud computing environment or in a customer-facing role.
- 2 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment.
- Experience in Python or similar coding language.
- Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
Application process
- Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience as a sales engineer or technical consultant in a cloud computing environment or in a customer-facing role.
- 2 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment.
- Experience in Python or similar coding language.
- Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems. Preferred qualifications:
- Master’s or PhD in AI, Computer Science, or a related technical field.
- Experience designing end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
Contacts
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Company and context
- Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.
Additional details
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- Field Sales Representative, Financial Services, Google Cloud Washington D.C., DC, USA;
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- Staff AI Solutions Deployment Developer, Applied AI Waterloo, ON, Canada;
