Senior Manager, Marketing AI and Automation

ThoughtSpot•Mountain View, CA

1d•Hybrid

About The Position

This role owns the technical side of rebuilding how marketing operates. The Senior Manager, Marketing AI and Automation will report directly to the CMO and collaborate across the entire marketing organization, including campaign planning, demand generation, content, field marketing, and measurement. The primary responsibility is to integrate marketing tools, build an automation and agent layer, and enable marketing teams to focus more on strategic initiatives rather than manual coordination. The role involves working with a tech stack including Salesforce, Marketo, 6sense, and others, with existing integrations and a significant opportunity to build out the agent layer. Key responsibilities include owning the connection, data model, integration design, and AI implementation for new tools, operating at the intersection of MarTech engineering and agentic AI.

Requirements

Shipped AI workflows, copilots, or agent-based systems in production.
5+ years in Marketing Engineering, Marketing Operations, or Business Systems in a high-growth B2B SaaS environment.
Integrated MarTech stacks at the API and data model level.
Deep hands-on experience with Salesforce, Marketo or HubSpot, 6sense or Demandbase, ZoomInfo or Clearbit, and attribution platforms.
Understanding of LLMs, agent orchestration, memory, guardrails, and evaluation for production systems.
Understanding of marketing functions including campaigns, demand generation, lead management, content operations, and field execution.
Ability to move fast without creating long-term problems.
Builds things, not just decks or recommendations.
Energized by complexity and connecting disparate systems reliably.
Excited about agentic AI as a transformative technology.
Knows when to use AI and when not to.
Can explain technical concepts to both technical and non-technical audiences.
Brings structure to ambiguous spaces without creating bureaucracy.
Makes the team better at building.
Comfortably and confidently integrates artificial intelligence into their daily workflow to increase productivity and quality.
Hands-on experience leveraging AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
Speaks to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
Writes effective prompts to get the most accurate and creative results from AI tools.
Exhibits curiosity in exploring new AI tools.
Demonstrates adaptability to quickly learn and implement new, emerging AI technologies.
Applies critical thinking to identify when AI should be used versus when human judgment is necessary.
Is fluent and comfortable with using AI to do their best work.
Experiments with AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights.
Uses AI daily for tasks such as drafting content, analyzing data, or summarizing documents.
Expected to be in-office 3 days per week.

Nice To Haves

Experience with CDPs and attribution platforms.

Responsibilities

Own the integration architecture across the marketing stack, including how tools connect when they are adopted.
Build the agent and automation layer that sits on top of integrations, transforming 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.
Drive measurable impact on pipeline, campaign velocity, and marketing efficiency by replacing manual work with automated systems.
Own the integration design and implementation for the core marketing stack (Salesforce, Marketo, HubSpot, 6sense, Demandbase, ZoomInfo, Clearbit, CDPs, and attribution platforms).
Ensure clean connectivity, solid data models, and prevent rework for new tool integrations.
Build API-first, event-driven integrations to create a unified marketing stack.
Define and enforce data models, system boundaries, and integration standards for reliable data flow.
Provide architectural input on tool adoption, assessing integration complexity and data compatibility.
Build reusable components and shared services instead of one-off connectors.
Run integration audits to identify and fix fragile parts of the system.
Design and ship multi-agent systems to automate marketing tasks like lead routing, campaign execution, content operations, demand generation, and reporting.
Own the full AI deployment lifecycle: use case identification, workflow design, building, testing, shipping, and optimization.
Build agents and copilots that run on top of the MarTech stack, utilizing integrations as the data layer.
Set standards for AI production use, including 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 accelerate integration QA, data quality monitoring, and workflow optimization.
Work directly with leaders across demand generation, content, product marketing, field marketing, web, communications, and brand to identify automation opportunities.
Translate marketing business goals into workflow architectures that reduce handoffs and manual work.
Run experiments, prototype, measure, and scale or kill initiatives.
Build systems that marketing teams will use, ensuring trust and understanding.
Establish standards for workflow design, quality control, and responsible AI use.
Create self-service capabilities for marketers to build and extend workflows.
Translate technical concepts into plain language for stakeholders and executives.
Build AI fluency across the marketing organization.
Define success metrics for workflows, including campaign velocity, funnel conversion, productivity gains, and attribution quality.
Partner with Marketing Operations to report on AI's impact.
Ensure marketing teams ship campaigns faster and spend less time on coordination and manual work.
Deploy agent-driven workflows into production.
Ensure the marketing stack functions as a connected system.
Improve pipeline and conversion metrics through workflow optimization.
Increase the speed from idea to production each quarter.