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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Forward Deployed Engineering Manager, Generative AI, Google Cloud

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 a similar technical customer-facing team in a cloud computing environment.
  • Experience in Python or a similar coding language.
  • Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.

Nice to haves:

  • 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.
  • Experience designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
  • Experience architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
  • Experience performing discovery interviews to identify business problems and translate complex hardware/AI constraints for C-suites and technical teams.

What you'll be doing:

  • 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.
  • Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.

Perks and benefits:

  • Opportunity to lead a team at the forefront of AI innovation.
  • Access to advanced AI technologies and platforms.
  • Direct collaboration with DeepMind's engineering and research teams.
  • Equal opportunity and affirmative action employer.
  • Global company culture with a focus on belonging and diversity.
AI Summary ✨
Google logo

Google

Zurich, Switzerland

Experience: Senior
Posted: August 28, 2026
Last seen: an hour ago
Gcp
Golang
Nodejs
Python
React
engineeringmanagement

Why we track Google

Google has one of the largest EU engineering presences of any US company. Zurich, London, Munich, and Dublin all run core product work—Search, Maps, YouTube, Cloud. The Zurich office alone is one of their biggest globally. If you want FAANG-level work in Europe, this is one of the best options.

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