GTM Data Architect - GTM Systems and Customer Data at Gainsight UK Ltd

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Systems Integration, Data Governance, GTM Data Strategy, SQL, Schema Design, ETL Architecture, Identity Resolution, Entitlement Management, Snowflake, Salesforce, LLM-Ready Data Architecture, Semantic Layer Design, Data Pipeline Design, Cross-functional Collaboration, SaaS Data Modeling

Industry

Software Development

Description

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 Senior Director PMO. 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 you’ll bring: 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. Familiarity with AI-ready data architecture principles, including semantic layer design for LLM querying and vector-compatible data structuring. This is not a complete list of responsibilities, and the scope of the role may evolve with the needs of the team and business. This role will require occasional travel for team meetings, training, or company events. Nice to have: Experience with Gainsight and the broader Customer Success ecosystem (preferred asset, not a hard blocker). Experience with event-based or product telemetry pipelines. Experience integrating multiple SaaS acquisitions or unifying identity across product lines. Why You’ll Love It Here: Gainsight is a place where innovation is shaped through collaboration, curiosity, and a shared focus on solving real-world problems. With a growing suite of products across customer success, product experience, community, education, and AI-powered relationship intelligence, we continue to evolve with the needs of our customers. When people with diverse strengths, a strong sense of community, and true passion for our mission come together, they drive greater impact and create lasting value. What underpins it all is a culture that offers the stability, trust, and support that people need - not just to do the job, but to show up as themselves and feel connected to the work they do. Gainsters love working here for several reasons. Here are a few: Our Compensation and Benefits: At Gainsight, we believe great work happens when teammates feel fully supported. We offer a comprehensive benefits package including full health coverage (including OPD), wellness and mental health resources, flexible remote work options, and childcare assistance. You'll also enjoy dedicated Recharge Holidays - one long weekend each quarter to relax and reset. Our Core Values: We are guided by our values and our mission to be living proof you can win in business while being Human-First. Learn more here. Our Growth Opportunities: From mentoring to career development opportunities, we’re passionate about helping our teammates learn, grow, and thrive. Our Parody Videos: No explanation needed. Just watch them here! If this sounds like the right role for you, we’d love to hear from you. Additional Information: We’re committed to creating an inclusive, fair, and transparent hiring process. As an equal opportunity employer, we celebrate diversity and are committed to creating a welcoming experience for all candidates. If you require accommodations or have questions about how your personal data will be used during the hiring process, please contact recruiting@gainsight.com. If you’re applying for a role through an Employer of Record (EOR) or contractor arrangement, please note that employment terms and benefits are managed by the EOR or may not apply to non-EOR contractors. Gainsight helps you grow your business faster and more efficiently with a single product suite that enables you to deliver value to today’s always-on customer at every moment of their journey. With Gainsight’s Customer Communities, Product Experience, Customer Success, and Customer Education products, it’s never been easier to scale your business, grow your revenue, and retain your customers. Winning The Human Way Leading the industry with award-winning software is rewarding. But the best moments—the ones we tell our moms about—happen when we’re together with our customers, colleagues, and partners. Our mission is to prove that you can win in business by being Human-First. For us, that means cultivating innovative ideas, nourishing a deep connection to our communities, introducing industry-defining products, and never saying no to a moment of childlike joy.

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Responsibilities

Architect a unified customer data model and implement reliable data pipelines across GTM and product systems. Establish governance frameworks and design AI-ready data structures to support LLM querying and deterministic insights.