Customer Engineer, Waltlabs

• This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative AI technologies to solve complex business problems
• A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions
• Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures
• GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings
• Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. Understanding of Vertex AI's role in enabling generative AI solutions
• GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API)
• Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager
• Cloud Solution Design: Building scalable, secure, and resilient cloud architectures, including designing AI/ML infrastructure
• Data Handling: Big data analytics, warehousing, and ETL/ELT processes, with a focus on leveraging data for AI/ML
• Network & Security: Comprehensive understanding of cloud networking and security principles, including security best practices for AI/ML workloads
• Database Management: Experience with SQL and NoSQL databases, including database solutions for AI/ML applications (e.g.,vector databases)
• Experience with enterprise architecture frameworks and methodologies
• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience preferred
• 3 + years of experience in a customer-facing technical role, such as solutions architect, sales engineer, or consultant
• Strong understanding of cloud computing concepts, platforms, and services (preferably Google Cloud)
• Scripting: Proficiency in Python, Go, or Bash for automation
• Problem-Solving: Strong troubleshooting and diagnostic abilities
• Communication: Clear communication of complex technical information
• Customer Service: Effective interaction and support for clients
• DevOps Practices: Familiarity with DevOps principles and tools

Desirable

• As a Customer Engineer, you will be a key player in driving our customers' success by translating their business needs into innovative and effective technical solutions
• You will partner with sales teams to understand customer challenges, design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud
• Partner with sales teams to identify and qualify business opportunities and understand key customer technical objections, with a focus on Generative AI opportunities
• Develop strategies to overcome technical blockers and drive solution adoption, specifically for Generative AI solutions
• Build and maintain strong relationships with key technical stakeholders and executive leaders at customer organizations, with an emphasis on understanding their Generative AI needs
• Analyze customer business and technical requirements to design comprehensive solutions that address their needs, with a focus on Generative AI use cases
• Develop and present solution architectures, including diagrams, documentation, and best practices, with a focus on integrating Generative AI components
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement solutions, including Generative AI solutions
• Provide deep technical expertise to support customer engagements, including technology advocacy, product and solution briefings, and proofs-of-concept, with a focus on Google Cloud's Generative AI capabilities
• Guide customers through assessments of their existing environments and provide recommendations for modernization and optimization, including incorporating Generative AI
• Stay up-to-date on industry trends and emerging technologies, especially in Generative AI, and drive innovation and best practices
• Customer needs and influence product development, including requirements for Generative AI products and services
• Collaborate with internal teams and partners to ensure successful solution delivery and customer satisfaction, including Generative AI solutions
• Share knowledge and best practices with the broader team and contribute to the development of internal tools and processes, including those related to Generative AI
• Participate in the technical aspects of Request for Proposals (RFPs), including those involving Generative AI solutions
• Conduct product demonstrations and prototypes in customer environments, showcasing Google Cloud's Generative AI offerings
• Experience in writing Statements of Work (SOWs) that clearly define project scope, deliverables, and timelines