Customer Engineer, AI/ML, Startups, Google Cloud

Customer Engineer, AI/ML, Startups, Google Cloud corporate_fare Google place Austin, TX, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 4 years of experience with cloud native architecture in a customer-facing or support role. Experience identifying AI use cases to solve customer challenges or selling AI technology. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience leading workshops, developing prototypes, or conducting demonstrations for clients.

Preferred qualifications:

Experience navigating AI infrastructure consumption models and optimizing high-throughput training/inference clusters. Experience implementing multi-agent systems using frameworks (e.g., A2A, LangGraph, CrewAI, AutoGen). Experience navigating the startup lifecycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI. Experience working with, and a passion for, the high-growth startup ecosystem and its typical rapid-scaling challenges. Knowledge of "LLM-native" performance metrics (TTFT, tokens/sec, cost-per-request) and techniques for optimizing state management, quantization, and provisioned throughput. Ability to implement secure agentic workflows incorporating MCP, tool-calling, and enterprise-grade authentication. About the job 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 Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions. Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops. Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Lead the technical engagement in the solution phase. Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.