Partner with the Sales team to qualify opportunities, address technical objections, and design secure, scalable, and cost-effective cloud architectures.
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.
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.
