AI Outcomes Manager

ThoughtSpot; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

ThoughtSpot is seeking an AI Outcomes Manager in London to own the strategic customer relationship across the lifecycle. You will manage the outcomes plan, renewals, and expansions while coordinating with the AE on strategy and fielding executive-level conversations.

You will drive adoption of Spotter, Liveboards, Agents, and Data Apps, build joint outcomes with customers, and operate at the executive level to secure next steps and align product feedback with roadmap inputs.

Qualifications

• 3+ years in a customer-facing role that blends business and technology.
• Business acumen with ability to connect product usage to business metrics and ROI.
• Analytics and BI fluency within enterprise environments; experience with ThoughtSpot or similar platforms is a plus.
• Strong stakeholder communication with senior leaders; ability to present value stories to non-technical executives.
• Structured account management: multi-threaded plans, prioritization, and stakeholder alignment.
• Moderate technical depth to prototype solutions (Liveboards, Spotter agents, Data Apps) and advise on AI value.
• Consultative instinct: ask questions, listen for outcomes, challenge assumptions when needed.

Responsibilities

• Own the business outcomes plan and Joint Outcomes Plan aligned to KPIs.
• Lead the account relationship with multi-stakeholder networks and strategic context.
• Drive adoption of Spotter, Liveboards, Agents, Workflows, and Data Apps.
• Run outcomes reviews and QBRs with a clear value narrative tied to KPIs.
• Own renewal and expansion with GRR/NRR as success measures.
• Mock up solutions (Liveboards, Spotter prototypes) to demonstrate value without heavy engineering.
• Translate customer context into product feedback and roadmap input for ThoughtSpot.
• Build adoption programs with internal champions and drive rollout planning.

Skills

Customer-facing

Business-technology blend

Analytics and BI fluency

Stakeholder communication

Structured account management

LLMs awareness

Consultative mindset

Tools

Liveboards

Spotter

Data Apps

Job description

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 Role:

The AI Outcomes Manager is ThoughtSpot's strategic presence inside a customer account. You own the relationship, the outcomes plan, the renewal, and the expansion – across the entire customer lifecycle. You are the customer's primary AI analytics advisor and their most consistent point of contact with ThoughtSpot.

This is a named-account role. You work closely with your AE counterpart on commercial strategy and operate at every level of the customer organization – from data teams to the executive suite.

What You'll Do:

• Own the business outcomes plan. Create a Joint Outcomes Plan that ties ThoughtSpot usage to the customer's business KPIs. Surface high-value use cases by function. Track and measure outcome attainment – not just adoption activity.
• Lead the account relationship. Build and maintain strong stakeholder relationships, multi-threaded champion networks, and the strategic context that makes ThoughtSpot indispensable. Contribute to the commercial roadmap alongside your AE.
• Drive adoption depth and breadth. Push meaningful consumption of Spotter, Liveboards, Agents, Workflows, and Data Apps. Use consumption health as a leading indicator. Diagnose gaps, intervene early, and know when to pull in other ThoughtSpot resources.
• Run outcomes reviews and QBRs. Lead the conversation, not just the slides. Bring a clear value narrative tied to agreed KPIs, and use every QBR to support the customer's AI roadmap and secure next steps.
• Own renewal and expansion. GRR and NRR are your measures. Renewals should never be surprises. Expansion should be proactive, well‑evidenced, and tied to use cases the customer already believes in.
• Mock solutions to prove what's possible. Build quick Liveboards, prototype Spotter agents, or sketch a Data App concept to secure stakeholder buy-in before a formal build kicks off. You don't need engineering to demonstrate value.
• Be the customer's voice inside ThoughtSpot. Translate account context into product feedback, roadmap input, and internal prioritization. You are the connection point between what the customer needs and what ThoughtSpot builds.
• Build adoption programs with internal champions. Help customers identify and grow internal advocates. Support the rollout planning and change activity that turns a product deployment into a business capability.

What You Bring:

• 3+ years in a customer-facing role that blends business and technology – Customer Success, Solutions, or Consulting within a SaaS environment. You're comfortable working across both business and technical stakeholders, and you know how to move between the two.
• Business acumen. You think in outcomes, not activities. You can connect product usage to business metrics, frame a value story around what matters to the customer's function, and use standard ROI frameworks to build a credible case for investment. You don't need to own the financial model solo – but you know how to contribute to one.
• Analytics and BI fluency. You're familiar with how data and analytics platforms work inside an enterprise – how teams consume insights, where BI adoption typically stalls, and what good data-driven decision-making looks like in practice. Direct experience with ThoughtSpot or a comparable platform is a strong plus.
• Stakeholder communication. You communicate clearly and credibly with senior business stakeholders – Directors, VPs, and the occasional C‑suite sponsor. You can simplify a complex value story into something a non‑technical executive acts on, and you know how to structure a business update that doesn't get ignored.
• Structured account management. You’re organized and proactive. You can run a multi‑threaded account plan, manage competing priorities across a portfolio, and keep stakeholders aligned without needing someone to chase you.
• Medium technical depth, used deliberately. You can build Liveboards, configure Spotter agents, and prototype Data Apps well enough to prove a use case. You understand LLMs and can advise customers on where AI adds genuine value to their analytics workflows.
• Consultative instinct. You ask before you advise. You listen for the outcome behind the question, and you know when to challenge a customer's assumptions rather than just confirm them.

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.

About ThoughtSpot

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.

Spotters are expected to exemplify these key traits and AI Mindset:

• 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.

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.