GTM Data Architect

We’re building the AI-driven future of customer success, from retention to growth!

We’re building the AI-driven future of customer success, from retention to growth! Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight’s applications and AI agents to drive learning, adoption, community connection, and success for their customers. To explore how our suite of solutions is shaping the future of customer success, check out the link .

About This Role:

We’re looking for a full-time GTM Data Architect to join our G&A team reporting to the Chief AI & Transformation Officer. This role is a hybrid role based out of our Hyderabad location.

In this role, you’ll play a key role in building the foundation for how customer data is managed, connected, and activated across the GTM ecosystem, enabling scalable AI and digital strategies across the business. You’ll drive the architecture and governance needed to create a trusted single source of truth for customer identity, entitlement, and engagement data across systems like Salesforce, Gainsight, and other GTM platforms, supporting personalized experiences, campaign targeting, product adoption visibility, and measurement of digital impact at scale. This is a great opportunity for someone who thrives in a highly cross-functional, data-driven environment and enjoys partnering with teams like Revenue Operations, Marketing, Customer Success, Product, Engineering, and Data & Analytics. The ideal candidate brings strong skills in data architecture, systems integration and governance, and GTM data strategy.

What You'll 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.

What We're 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 align complex technical architecture with RevOps, Digital, and Product stakeholders.