The Role

We're rebuilding how marketing operates and this role owns the technical side of that.

You'll report directly to the CMO and work across the full marketing organization: campaign planning, demand generation, content, field, and measurement. The job is to wire our marketing tools together and build the automation and agent layer on top so teams spend less time on coordination and more time on work that actually moves the business.

The stack includes Salesforce, Marketo, 6sense, and others. Some integrations are already live. Much of the agent layer is still to be built. When a new tool gets adopted, you own how it connects, the data model, the integration design, and how AI plugs into it.

This role sits at the intersection of MarTech engineering and agentic AI. You need to be strong at both. The integrations are what make the agents actually work.

Scope & Impact

• Own the integration architecture across the marketing stack, when tools get adopted, you own how they connect

• Build the agent and automation layer that sits on top of those integrations, turning connected systems into intelligent, self-running workflows

• Shape build-vs-configure decisions by providing clear architectural input before tools go live

• Set the technical bar for how marketing systems are built, integrated, and maintained

• Make the whole team faster, not by adding headcount, but by replacing manual work with systems that actually work

• Drive measurable impact on pipeline, campaign velocity, and marketing efficiency

What You'll Do:

MarTech Integration & Architecture

• Own the integration design and implementation for the core marketing stack — Salesforce, Marketo, HubSpot, 6sense, Demandbase, ZoomInfo, Clearbit, CDPs, and attribution platforms

• When new tools get adopted, you're the integration owner, clean connectivity, solid data models, no rework six months later

• Build API-first, event-driven integrations that make the marketing stack behave like one system instead of twelve disconnected ones

• Define and enforce data models, system boundaries, and integration standards, so lead, account, and campaign data flows reliably across every tool

• Provide architectural input on tool adoption, assessing integration complexity, data compatibility, and what it will actually take to make a new tool useful

• Build reusable components and shared services instead of one-off connectors that create debt

• Run integration audits, find the fragile parts, and fix them before they break in production

Agentic AI & Workflow Automation

• Design and ship multi-agent systems that automate the work marketing teams shouldn't be doing manually, lead routing, campaign execution, content ops, demand generation, reporting

• Own the full AI deployment lifecycle: identify the use case, design the workflow, build it, test it, ship it, and optimize it based on what actually happens

• Build agents and copilots that run on top of the MarTech stack, your integrations are the data layer, your agents are what act on it

• Set the standards for how AI gets used in production: LLM selection, agent orchestration, memory, guardrails, human-in-the-loop design, and evaluation

• Build a pipeline of high-impact AI use cases and move them from prototype to production.

• Use agents to make integration QA, data quality monitoring, and workflow optimization faster and less manual

Marketing Strategy & Cross-Functional Collaboration

• Work directly with leaders across demand gen, content, product marketing, field, web, comms, and brand, understand what they're trying to do, identify where automation creates real leverage

• Turn marketing business goals into workflow architectures that reduce handoffs, cut manual work, and make teams faster

• Run fast experiments, prototype, measure, decide, scale or kill

• Bring clarity and prioritization to a space that will always have more ideas than bandwidth

Adoption & Enablement

• Build systems that marketing teams actually use — not technically elegant solutions that nobody trusts or understands

• Establish standards for workflow design, quality control, and responsible AI use that teams can follow without a manual

• Create self-service capabilities that let marketers build and extend workflows without filing a ticket

• Translate integration architecture and agent design into plain language that makes sense to stakeholders and executives

• Build AI fluency across the marketing organization, create champions, not dependents

Measurement & Optimization

• Define what good looks like for every workflow you ship, campaign velocity, funnel conversion, productivity gains, attribution quality, handoff reliability

• Partner with Marketing Ops to surface where AI is creating real impact and where it's still theoretical

• Give marketing leadership honest, clear visibility into what the AI layer is actually doing for the business

How Success is Measured:

• Marketing teams ship campaigns faster and spend less time on coordination, manual work, and broken handoffs

• Agent-driven workflows are in production and being used

• The marketing stack behaves like one connected system, not a collection of tools that technically exist

• Pipeline and conversion metrics improve because the workflows underneath them actually work

• The pace from idea to production gets faster every quarter
  

What You

• You've shipped AI workflows, copilots, or agent-based systems in production, not just experimented in notebooks

• 5+ years in Marketing Engineering, Marketing Operations, or Business Systems, in a high-growth B2B SaaS environment

• You've integrated MarTech stacks at the API and data model level, not just clicked through setup wizards

• Deep hands-on experience with the actual tools: Salesforce, Marketo or HubSpot, 6sense or Demandbase, ZoomInfo or Clearbit, and attribution platforms

• You understand LLMs, agent orchestration, memory, guardrails, and evaluation well enough to build production systems, not just demos

• You understand how marketing actually works: campaigns, demand gen, lead management, content ops, field execution

• You can move fast without cutting corners that create problems six months later

Who You Are:

• You build things. Not decks about things. Not recommendations about things.

• You're energized by complexity, connecting systems that weren't designed to talk to each other, and making them work reliably

• You're genuinely excited about agentic AI, not as a buzzword, but as a real shift in what's possible

• You know when to use AI and when not to, and you're not afraid to say the latter

• You can explain a data model to a CMO and an agent architecture to a developer — and neither conversation feels like a translation

• You bring structure to ambiguous spaces without bureaucratizing them

• You make everyone around you better at building, and you measure success by what the team ships, not just what you ship

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.

Hybrid Work at ThoughtSpot

Spotters are expected in-office 3 days per week to experience the energy of their local office. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

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.

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.