The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey.
Compensation
For New York City based hires: Estimated annual salary of $204,000.00 - $321,000.00
Responsibilities
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure
Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations
Deliver tailored technical presentations, architectural diagrams, and demonstrations
Lead the development and maintenance of generative AI agents and features within impact.com’s partnership management platform, focusing on prompt engineering, RAG, and integration with Google Cloud Vertex AI and external APIs.
Responsibilities
Leverage Google Cloud’s Vertex AI products to maintain and enhance the “Copilot” agent feature
Enhance the capabilities of the agent by integrating with additional Impact or external APIs (via function calling / actions)
Enhance the agent’s analytics capabilities with new integrations exposing additional data sets
Enhance the knowledge of the agent by adding more context to its search index
Create tools and processes for monitoring, and then monitor the agent’s answers’ quality and correctness
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
Nice to have: Generative AI experience
Nice to have: personal projects on Kaggle, GitHub, OpenAI
Nice to have: startup or fast-paced environment experience
Nice to have: Affiliate & Partnerships Industry Fundamentals Certification by PXA
Lead technical solution design and support for Google Cloud AI customers, partnering with sales teams to deliver tailored demos, PoCs, and adoption strategies.
Responsibilities
Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption
Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
Act as a trusted technical advisor and Google Cloud advocate by delivering deep technical consultation to build lasting relationships and traveling to customer sites, conferences, and industry events as required
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team
Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: LangGraph
Nice to have: Semantic Kernel
Nice to have: Google AI Agent Development Kit (ADK)