Senior GTM Knowledge Engineer

ZoomInfo Technologies LLC•Bethesda, MD

1d•Hybrid

About The Position

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Sr. GTM Knowledge Engineer At ZoomInfo, we power business growth through the world’s most comprehensive Go-to-Market Intelligence Platform. With 1,800+ sellers and customer-facing teams engaging prospects and customers every day, instant access to trusted knowledge, learning, and answers is mission-critical. As our Sr. GTM Knowledge Engineer, you will design and build the technical infrastructure that enables knowledge delivery across our GTM ecosystem. Sitting at the intersection of Revenue Enablement and Engineering, you will integrate platforms, automate workflows, and develop solutions that enhance search, retrieval, and content delivery, including AI-powered capabilities. You’ll partner with AI engineers and cross-functional stakeholders to ensure systems are connected, data is reliable, and knowledge is accessible at the moment of need. This role is ideal for someone who enjoys building, debugging, and improving technical systems while enabling real business impact.

Requirements

Education: Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related technical field (or equivalent practical experience)
Experience: 2-5+ years in a technical development role with hands-on coding experience
Technical Skills (Required): Front-end development: HTML, CSS, JavaScript (React, Vue, or similar framework experience a plus)
Back-end development: Python, Node.js, or similar server-side language
API development and integration: RESTful APIs, webhooks, authentication protocols
Database skills: SQL, data modeling, query optimization
Version control: Git/GitHub
Scripting and automation: Python, JavaScript, or Bash
Data structures and algorithms: Strong foundational knowledge
Platform Experience: Experience integrating with third-party platforms via APIs
Familiarity with workflow automation tools (Zapier, Make, n8n, or similar)
Basic understanding of enterprise software systems

Nice To Haves

Experience working with CMS, LMS, or CRM systems (Salesforce, HubSpot, WordPress, Contentful, Moodle, Canvas, etc.)
Experience with AI/ML APIs (OpenAI, Anthropic, or enterprise AI platforms)
Familiarity with enablement or learning platforms (Allego, Seismic, Highspot, etc.)
Experience with content databases (Notion API, Airtable, Google Drive API)
Knowledge of search technologies (Elasticsearch, Algolia, vector databases)
Background in SaaS or B2B technology companies

Responsibilities

Build and maintain integrations between learning platforms, content management systems, and enablement tools using APIs with webhooks, and modern data tooling (Fivetran, Hightouch).
Develop front-end interfaces and back-end workflows for content delivery and knowledge retrieval using React, JavaScript, and TypeScript.
Write scripts (Python, JavaScript, or similar) that integrate with LLMs to automate content workflows and data processes
Implement AI-powered features for search, tagging, and content recommendations, with experience using AI coding assistants, i.e. Cline, Cursor, Claude Code
Build and maintain database schemas, queries, and data models for knowledge systems, with experience with Snowflake (preferable but not required to have exposure to dbt modeling and Airflow-based orchestration).
Develop custom solutions to enhance platform functionality and user experience
Facilitate regular audits of content accuracy, versioning, and metadata quality across all platforms
Conduct QA testing on integrations, workflows, and automated processes
Monitor data integrity and identify gaps or inconsistencies in knowledge repositories
Test and validate AI-enhanced search and retrieval functionality
Document technical issues and coordinate resolution with appropriate teams
Establish and maintain QA protocols for content governance and system health
Monitor performance of integrations and automated workflows, preferably using Datadog, Montecarlo, or Pager Duty
Troubleshoot technical issues and implement fixes
Maintain documentation for technical implementations and processes
Support testing and rollout of new technical features
Track system analytics and identify optimization opportunities