GTM Data Architect - GTM Systems and Customer Data

About the Role

The GTM Data Architect will play a critical role in enabling personalized customer experiences, campaign targeting, and measurement of digital impact at scale. You will collaborate with various teams to design data systems that are LLM-ready, ensuring data models and semantic layers are interpretable by AI querying tools. With the rise of AI-driven customer success, this role offers a chance to be at the forefront of a rapidly evolving field.

Gainsight's CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy, and as a GTM Data Architect, you will be responsible for ensuring the integrity and accuracy of customer data across this journey.

What You Will Do

• Architect a unified customer data model spanning identity, entitlement, and usage across all GTM and product systems
• Design and implement data pipelines that ensure reliable, near-real-time synchronization between CRM, CSP, PX, Community, Education, and other external data sources
• Establish governance frameworks for data ownership, quality standards, and change management across systems and teams
• Resolve identity fragmentation: standardize user and account keys, and reconcile duplicate records across disparate platforms
• Integrate entitlement logic into GTM workflows so Sales, CS, and Digital teams can target campaigns and measure impact confidently
• Partner with RevOps, Digital CS, and Analytics to design data systems with LLM-readiness as a first-order requirement—ensuring data models and semantic layers are interpretable by AI querying tools
• Design for agent consumption alongside traditional BI, building deterministic answer frameworks that prevent hallucination in AI-generated insights
• Define data documentation and lineage so future projects build on a clear, stable foundation
• Collaborate with engineering and product teams to align data design with system capabilities and release cycles
• Develop and maintain technical documentation of data architectures, data flows, and system interactions

What We Are Looking For

• Senior IC / Architect level expertise: 8+ years of experience in data architecture, data engineering, or GTM systems architecture, ideally in a SaaS or multi-product environment
• Deep understanding of customer and usage data models, identity resolution, entitlement management, and cross-system integrations
• Experience designing and optimizing data pipelines (e.g., Snowflake, etc.) to ensure high reliability and scalability
• Strong grasp of CRM and CSP ecosystems (Salesforce, PX, Community, Education) and the logic of how data flows between them
• Proven track record of establishing data governance and ownership models across multiple cross-functional teams
• Hands-on technical fluency in SQL, schema design, and ETL architecture; ability to design scalable, reliable pipelines
• Strategic mindset; capable of seeing the full GTM data landscape and translating business problems into technical design requirements
• Clear communicator who can articulate complex technical concepts to non-technical stakeholders
• Experience working with cloud-based data platforms and familiarity with data security and compliance regulations

Nice to Have

• Experience working with AI and machine learning technologies, particularly in the context of customer success
• Knowledge of data visualization tools and techniques, with the ability to communicate insights effectively to stakeholders
• Familiarity with agile development methodologies and version control systems like Git
• Experience with data warehousing and big data technologies, such as Hadoop or Spark
• Certification in data architecture, data engineering, or a related field

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a leading AI-powered customer success platform
• Collaborative and dynamic work environment with a team of experienced professionals
• Professional development opportunities, including training and conference sponsorships
• Flexible working hours and remote work options
• Access to the latest technologies and tools in the industry
• Recognition and reward for outstanding performance and contributions
• Comprehensive health insurance and wellness programs
• Generous paid time off and holiday policy

• Showcase your technical expertise in data architecture, systems integration, and GTM data strategy by highlighting specific projects and accomplishments in your resume and cover letter.
• Be prepared to discuss your experience with data governance, quality standards, and change management across systems and teams during the interview process.
• Familiarize yourself with Gainsight's CustomerOS platform and the company's approach to AI-driven customer success to demonstrate your interest and knowledge.
• Highlight your ability to communicate complex technical concepts to non-technical stakeholders, as this is a critical skill for success in this role.
• Prepare to discuss your experience working with cross-functional teams, including Revenue Operations, Marketing, Customer Success, Product, Engineering, and Data & Analytics.
• Emphasize your strategic mindset and ability to see the full GTM data landscape, translating business problems into technical design requirements.
• Be prepared to provide examples of your experience with data pipelines, CRM and CSP ecosystems, and identity resolution, as well as your knowledge of data security and compliance regulations.