About this role
ThoughtSpot seeks an AI Outcomes Associate, Digital Programs to build and scale AI-powered customer-success journeys for its B2B SaaS customers. Based in Bengaluru, the role designs automated, personalized programs that help the Customer Outcomes organization serve a segmented customer portfolio while identifying when human intervention is needed. Employees are expected in the office at least three days per week, with flexibility where needed.
Responsibilities
- Own the post-sale journey through onboarding, adoption, expansion and renewal. Design triggers for automated touchpoints and CSM-led engagement, including rules for moving customers between digital and human-led coverage.
- Build and improve lifecycle programs such as onboarding sequences, adoption nudges, feature-activation campaigns, health-triggered outreach and renewal-readiness programs. Use engagement signals and AI to personalize and time interactions.
- Develop customer-health scoring and AI-assisted alerts that account for the broader customer relationship, not only login frequency. Build agentic workflows that monitor health, draft contextual outreach, recommend next actions and flag escalations; measure their impact and iterate.
- Create onboarding guides, adoption playbooks, AI-generated success-plan frameworks, QBR narrative templates and escalation runbooks. Track time-to-first-value, feature activation, digital-influenced retention and engagement; build ThoughtSpot visualizations, run structured experiments and report results to leadership.
- Represent the tech-touch customer segment, advocate for product improvements, share expansion signals with Sales and collaborate across the AI Outcomes team.
Requirements
- 3–8 years in Customer Success, lifecycle marketing, digital programs or a customer-facing B2B SaaS role, with ownership of a digital or tech-touch program.
- Demonstrated experience shipping working solutions using LLMs, agentic frameworks or automation pipelines; hands-on experience building journeys in CS or marketing automation platforms.
- Practical experience with some of LangChain, n8n, Make, Zapier, CrewAI, Flowise or custom LLM integrations, including reliable multi-step workflows. Strong skills in product-usage data, health-score logic, dashboards and systems-based journey design. ThoughtSpot also expects AI literacy, effective prompting and sound judgment about when to use AI versus human review.
Preferred
Familiarity with ThoughtSpot or the data analytics, BI and AI-platform landscape; a portfolio, GitHub profile or project showcase demonstrating AI work.