ThoughtSpot
From ThoughtSpot's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
The Role: The future of Customer Success isn't more headcount, it's smarter systems, better signals, and AI doing the work that shouldn't require a human.
ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.
The future of Customer Success isn't more headcount, it's smarter systems, better signals, and AI doing the work that shouldn't require a human.
As AI Outcomes Associate - Digital Programs, you'll own how ThoughtSpot delivers value to customers at scale. That means designing the journeys, engineering the automations, and orchestrating the moments including onboarding sequences, adoption nudges, health interventions, expansion triggers and in app journeys. You'll do this by building and scaling AI-powered workflows, intelligent lifecycle programs, and data-driven systems that make the entire Customer Outcomes organization faster and sharper.
This role is for someone who has already crossed the line from AI user to AI builder. You don't wait for a tool to exist, you assemble one. You see a manual process and your first instinct is to engineer it out of existence. You understand that the best digital programs don't feel digital to the customer receiving them, and you use AI to close that gap at scale.
Digital Journey Architecture: Design and own the end-to-end customer journey from post-sale handoff through onboarding, adoption, expansion, and renewal. Map the moments that matter, define what triggers automated touchpoints vs. human intervention, and build AI-augmented programs that execute reliably across a large, segmented portfolio.
AI-Powered Lifecycle Programs: Build and iterate on lifecycle campaigns : onboarding sequences, adoption nudges, health-triggered outreach, feature activation plays, renewal readiness programs and leverage AI and automation to make them intelligent - dynamically personalized, contextually timed, and continuously learning from engagement signals.
Customer Health Intelligence: Instrument a health scoring model that covers all aspects of a customer relationship, not just login frequency. Build AI-assisted alerting that keeps the team ahead of risk rather than reacting to it
Agentic Workflow Development: Go beyond static automations. Build agentic pipelines using tools like LangChain, n8n, CrewAI, or custom LLM integrations that can monitor customer health, draft contextual outreach, recommend next best actions, and flag escalations with minimal manual input. Instrument every workflow for impact and iterate relentlessly.
Segmentation & Coverage Design: Define how the digital program segments the customer base - by tier, use case, lifecycle stage and match the right level of AI-led vs. human-led coverage to each. Own the logic that determines when a customer moves between digital and CSM-led engagement.
Content & Playbook Development: Build the asset library that powers the digital journey: onboarding guides, adoption playbooks, AI-generated success plan frameworks, QBR narrative templates, escalation runbooks. Use AI to personalize at scale while keeping the quality bar high.
Measurement & Optimization: Define the metrics that matter: time-to-first-value, feature activation rates, digital-influenced retention, program engagement etc. Build visualizations and workflows in ThoughtSpot to monitor program performance, run structured experiments, and report outcomes to leadership with a clear narrative about what's working and what to change.
Cross-Functional Influence: Be the internal voice for the Tech Touch customer segment. Advocate for product improvements that reduce friction in the digital journey, share expansion signals with Sales, and collaborate with the broader AI Outcomes team to surface intelligence across the portfolio.
3-8 years of experience in Customer Success, lifecycle marketing, digital programs, or a customer-facing role at a B2B SaaS company with real ownership of a digital or tech-touch motion.
Demonstrated AI fluency. You're not experimenting with AI for the first time. You've used LLMs, agentic frameworks, or automation pipelines to build things that actually work. Show us what you've shipped.
Hands-on experience with CS or marketing automation platforms. You can build a journey, not just describe one.
Practical experience with agentic and automation tooling. You've worked with at least some of: LangChain, n8n, Make, Zapier, CrewAI, Flowise, or custom LLM integrations, and you understand how to design multi-step systems that behave reliably in production.
Strong data instincts and comfortable working with product usage data, constructing health score logic, and building dashboards that drive real decisions.
Systems thinking : you model journeys as logic flows, triggers, conditions, branches, outcomes. You find gaps in a process before they become gaps in retention.
Familiarity with the ThoughtSpot ecosystem or the broader data analytics / BI / AI platform landscape.
A portfolio, GitHub, or project showcase demonstrating what you've built with AI. We'd genuinely love to see it.
In-Office at ThoughtSpot
Spotters are expected in-office 3+ days per week to be part of the energy of their local team. Momentum compounds when we're in the room together with faster decisions, sharper problem-solving, and the kind of peer learning that doesn't happen over a screen. Being in-office is our default way of working, with flexibility available where it's genuinely needed.
The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.
At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.
Mandatory and Required Skills for All ThoughtSpot Roles
Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:
Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
Write effective prompts to get the most accurate and creative results from AI tools.
Curiosity in exploring new AI tools
Adaptability to quickly learn and implement new, emerging AI technologies
Critical thinking to know when to identify when AI should be used versus when human judgement is necessary
This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.
AI Mindset for All Spotters
At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.
All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.
ThoughtSpot for All
At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.
What Makes ThoughtSpot a Great Place to Work?
ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.
The future of Customer Success isn't more headcount, it's smarter systems, better signals, and AI doing the work that shouldn't require a human.
As AI Outcomes Associate - Digital Programs, you'll own how ThoughtSpot delivers value to customers at scale. That means designing the journeys, engineering the automations, and orchestrating the moments including onboarding sequences, adoption nudges, health interventions, expansion triggers and in app journeys. You'll do this by building and scaling AI-powered workflows, intelligent lifecycle programs, and data-driven systems that make the entire Customer Outcomes organization faster and sharper.
This role is for someone who has already crossed the line from AI user to AI builder. You don't wait for a tool to exist, you assemble one. You see a manual process and your first instinct is to engineer it out of existence. You understand that the best digital programs don't feel digital to the customer receiving them, and you use AI to close that gap at scale.
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