Customer Engineer, UK/IE Startups

Google; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Google Cloud's UK/IE Startups & Scaleups Growth team seeks a seasoned Customer Engineer to drive high-impact technical engagements with rapidly scaling startups and VC-backed businesses. You will help founders, CTOs, and developers accelerate product delivery and optimize architecture on Google Cloud.

As a trusted advisor, you will guide modern data platforms, real-time analytics, and Generative AI workloads, collaborating with sales to design secure, scalable, and cost-effective cloud solutions

Qualifications

• 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 (e.g., Plug n Play, local startup hubs), 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.

Skills

Cloud architecture design

Customer-facing experience

Kubernetes/GKE

Modern data pipelines

Education

Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience

Tools

Kubernetes/GKE

BigQuery

Spark

Kafka

LangChain

LlamaIndex

Vertex AI Vector Search

Job description

Minimum qualifications

• 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.

Preferred 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.

About the job

As a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling, high-potential startups and VC-backed businesses. You will help startup founders, CTOs, and developers scale their products on Google Cloud. You will act as a trusted advisor, helping to accelerate their product delivery, optimize their technical architecture, and drive strategic business outcomes.

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

• Deliver compelling presentations, product demonstrations, and technical workshops at Google events, accelerator programs (e.g., Plug n Play, local startup hubs), 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .