About this role
Gainsight is seeking a full-time GTM Data Architect to join the G&A team in a hybrid capacity based out of Hyderabad. This position suits an experienced data professional who wants to build foundational customer data systems that power scalable artificial intelligence and digital business strategies.
Role Overview
As a GTM Data Architect, the professional reports directly to the Chief AI and Transformation Officer. The role centers on designing and implementing the data architecture and governance required to establish a trusted single source of truth for customer identity, entitlement, and engagement data. Working closely with Revenue Operations, Marketing, Customer Success, Product, Engineering, and Data and Analytics teams, the individual enables personalized customer experiences, campaign targeting, and accurate measurement of digital impact at scale.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Gainsight serves as the AI-powered retention engine behind world-class customer-centric organizations. The Gainsight CustomerOS platform helps orchestrate the complete customer journey from onboarding to long-term advocacy. Trusted by over 2,000 companies, the applications and AI agents drive community connection, product adoption, and success.
How to Apply
Interested candidates should visit the official Gainsight careers page to submit an application for this opportunity.
Skills and tech stack
Questions candidates ask
Where is the GTM Data Architect position located?
The role is a hybrid position based out of Gainsight's Hyderabad, India location.
Who does the GTM Data Architect report to?
This position reports directly to the Chief AI and Transformation Officer.
What level of experience is required for this role?
Candidates must have 8+ years of experience in data architecture, data engineering, or GTM systems architecture.
What technical skills are highlighted for this position?
Key technical skills include SQL, Snowflake, data pipeline design, ETL architecture, schema design, and LLM-ready data structuring.
Are there any nice-to-have qualifications?
Preferred qualifications include experience with Gainsight, event-based product telemetry pipelines, and unifying identity across multiple SaaS acquisitions.
