This role operates at the center of the Customer Office, Enterprise Systems, Data, and Organizational Change. You will lead the architecture and evolution of Gainsight and related GTM platforms, building scalable processes, strong data foundations, intelligent automation, and measurable business impact. This position reports to the Director of Business Systems Operations.
We're seeking a highly technical, innovative, and forward-thinking
CS AI Architect to lead the design and deployment of AI-driven capabilities across our CS tech stack. This is an individual contributor role responsible for embedding AI directly into Customer success workflows to enable smarter decision-making, automate manual processes, and improve execution across Customer Office teams. You'll act as both a builder and operator, translating a deep understanding of CS workflows into practical AI systems.
WHAT YOU WILL BE DOING- CS AI Strategy & Use Case Development - Identify and prioritize high-impact AI use cases across Customer Office teams in partnership with Revenue Operations, aligning initiatives with business priorities to improve field productivity, conversion, and customer outcomes
- AI Workflow Design & Deployment - Design and implement AI-driven workflows and agentic solutions across the Customer Office tech stack, embedding AI into core processes like pipeline inspection, lead prioritization, deal coaching, and customer engagement - practical, scalable, and built for field adoption
- Automation & Intelligence Layer - Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack, leveraging LLMs and modern AI tools to evolve manual processes into intelligent, automated workflows.
- Systems & Expert Partnership - Serve as the AI expert, partnering with Enterprise Systems and Architecture teams to define and enforce data models, governance standards, and long-term architectural integrity across the Gainsight and GTM tech stack.
- Data & Signal Utilization - Leverage Customer data to power AI-driven insights and workflows, ensuring high-quality inputs and outputs for confident decision-making.
- Continuous Innovation & Experimentation - Stay ahead of AI and GTM technology trends by rapidly evaluating, testing, and scaling new tools and approaches.
WHAT YOU BRING- 5-8 years of progressively responsible experience across RevOps, GTM systems, software engineering, or technical roles in B2B SaaS
- Strong hands-on experience with AI/ML, LLMs, and automation frameworks
- Deep experience with Salesforce and modern GTM tech stacks
- Strong technical skills (e.g., Python, APIs, integrations, data workflows)
- Proven ability to design and deploy AI-driven solutions in business environments
- Strong understanding of Customer Success processes and revenue operations
- Ability to translate business problems into scalable technical solutions
- Experience working cross-functionally with business and technical stakeholders
- Highly autonomous, self-directed, and comfortable operating as a senior individual contributor
- Curiosity and passion for applying AI to real-world business problems
SUCCESS METRICS- Adoption and utilization rate of newly deployed AI-driven workflows and agentic solutions.
- Measurable improvement in field productivity and efficiency across Customer Office teams.
- Successful integration of AI capabilities with the core GTM platform architecture.
- Reduction in manual processes and improvement in data quality powering AI insights.
Benefits- Medical, Dental, Vision, Life Insurance
- 401K
- Unlimited PTO
- Sick Time
- Holiday Parties
- Daily Catered Lunches
- Employee Recognition Programs
- Team Socials
$0 - $0 a year
You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
If required for this role, you will:- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):
> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy
