Cloud Platform Engineer for Startups & Scaleups (UK/IE)

Google LLC

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Google LLC's Cloud Platform Growth team in the UK/IE seeks a Customer Engineer to lead high-impact technical engagements with rapidly scaling startups. You will help founders and CTOs accelerate product delivery, design scalable data platforms with BigQuery and real-time analytics, and guide AI workloads across Gemini and partner ecosystems.

This role combines deep technical advisory with customer-facing leadership, requiring strong communication with executive sponsors and a passion for

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience engaging with, or presenting to, technical stakeholders or executive leaders.
  • Experience working directly within or as a technical advisor to venture-backed startups or scaleups.

Responsibilities

  • Deliver presentations, product demos, and technical workshops at Google events and industry conferences.
  • Build and nurture trusted-advisor relationships with startup CTOs, founders and engineering teams.
  • Help customers design and scale modern data platforms using BigQuery and real-time streaming.
  • Guide startups on AI workloads including Generative AI, LLMs, RAG systems, and agentic workflows with Gemini and partner ecosystems.
  • Partner with Sales to qualify opportunities, address technical objections, and design secure cloud architectures.

Skills

Cloud architecture
Stakeholder communication
Startup ecosystem

Education

Bachelor's degree or equivalent

Tools

BigQuery
Spark
Kafka
Vertex AI Vector Search
LangChain
LlamaIndex

Job description

Google LLC's Cloud Platform Growth team in the UK/IE seeks a Customer Engineer to lead high-impact technical engagements with rapidly scaling startups. You will help founders and CTOs accelerate product delivery, design scalable data platforms with BigQuery and real-time analytics, and guide AI workloads across Gemini and partner ecosystems.

This role combines deep technical advisory with customer-facing leadership, requiring strong communication with executive sponsors and a passion for

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