Full-Time

Customer Engineer

Startups

Google

Google

10,001+ employees

Tech giant offering search, ads, cloud

No salary listed

London, UK

In Person

Based in London; eligibility to work in the United Kingdom.

Bachelor's

Category
DevOps & Infrastructure (1)
Required Skills
LLM
Kubernetes
BigQuery
RAG
Google Cloud Platform

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Requirements
  • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • 10 years of experience in a customer-facing technical role (e.g., Customer Engineer, Solutions Architect, or Developer Advocate) within the cloud computing industry.
  • Experience designing, architecting, and deploying cloud-native applications, containerized environments (Kubernetes/GKE), and modern data pipelines.
Responsibilities
  • Deliver compelling presentations, product demonstrations, and technical workshops at Google events, accelerator programs, and industry conferences.
  • Build and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams.
  • Help customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application logic and AI capabilities.
  • Guide startups on implementing advanced AI workloads, including Generative AI, Large Language Models (LLMs), RAG systems, and agentic workflows, utilizing both first-party (Gemini) and partner model ecosystems (e.g., Anthropic).
  • Partner with the Sales team to qualify opportunities, address technical objections, and design secure, scalable, and cost-effective cloud architectures.
Desired Qualifications
  • Experience working directly within or as a technical advisor to high-growth, venture-backed startups or scaleups.
  • Background as a CTO, lead architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles.
  • Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka).
  • Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain or LlamaIndex).
  • Active participation in the startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution.

Google provides internet services and products, including a widely used search engine and a large ecosystem of tools for individuals and businesses. It works by processing user queries and ranking results with relevance and personalized data, while its advertising platforms show targeted ads to users. Its products span cloud computing (Google Cloud), productivity software (Google Workspace), and hardware like Pixel phones and Nest devices, all connected through data and machine learning. Its goal is to organize the world’s information so it is universally accessible and useful, while supporting a sustainable business model built on ads and a growing software, cloud, and hardware portfolio.

Company Size

10,001+

Company Stage

IPO

Headquarters

Mountain View, California

Founded

1998

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 revenue rose 24% to $119.8 billion, beating expectations handily.
  • Google Cloud grew 82% to $24.8 billion, powered by AI infrastructure and solutions.
  • Google hired Windsurf leaders for $2.4 billion, strengthening agentic coding and developer tools.

What critics are saying

  • DOJ remedies bar exclusive Search, Chrome, Assistant, and Gemini deals through 2031.
  • Google must share search index and interaction data, accelerating rivals like OpenAI and Perplexity.
  • Ongoing cloud and design layoffs signal AI spending pressure; margins compress if monetization slows.

What makes Google unique

  • Google Search still drives 17% revenue growth and unmatched query-scale distribution.
  • Gemini reached 950 million monthly users by July 2026, embedded across Search and Cloud.
  • Google Cloud backlog hit $514 billion, giving Alphabet durable enterprise demand visibility.

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Benefits

Hybrid Work Options

Remote Work Options

Performance Bonus

Company Equity

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