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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.