About the job
At ZoomInfo, we believe in accelerating careers through innovation and collaboration. We operate with agility, challenge conventional thinking, and empower you to produce exceptional work. You will join a team that values support, challenges norms, and celebrates collective achievements. With the right tools and a culture that nurtures your ambitions, you will not just contribute; you will drive impactful change swiftly.
The Opportunity:
ZoomInfo has established the most advanced Go-To-Market (GTM) data acquisition infrastructure in the industry. We are now applying that same meticulous approach to the field of context engineering—an emerging discipline that determines whether AI systems yield transformative value or merely incremental enhancements.
This role is pivotal in architecting the context layer that powers our AI intelligence across products such as Copilot, GTM Studio, and MarketingOS. You will revolutionize how ZoomInfo's agentic workflows access, compress, and deliver precise information at critical moments. Your work will have a profound impact across the organization: every AI interaction, every intelligent recommendation, and every autonomous agent action will rely on the context infrastructure you develop.
As we transition to an AI-first product approach across the company, the context pipelines are still in their infancy, offering a unique opportunity to establish architectural standards and platform practices that will enhance value for multiple product teams in the coming years.
What You'll Do:
Design Context Acquisition Pipelines: You will create and optimize the methods by which ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and various data sources. Your focus will be on balancing retrieval quality with latency and cost, utilizing hybrid search strategies, intelligent caching, and context compression techniques that maintain information density while adhering to token budgets.
Manage the Context Layer Platform: You will build infrastructure that serves multiple product teams—Copilot, GTM Studio, MarketingOS—as internal clients. You will set API standards, enhance developer experiences, and establish integration patterns that expedite feature delivery. You will maintain a delicate balance between providing flexible building blocks and crafting opinionated solutions that integrate best practices.
Implement Quality Through Measurement: You will develop evaluation frameworks utilizing RAGAS metrics and custom benchmarks. You will monitor retrieval accuracy, context relevance, hallucination rates, and system performance in production. You will translate quality signals into architectural enhancements, collaborating closely with machine learning engineers.
