Senior Manager, Marketing AI Operations

About This RoleAI processing…

Key Responsibilities

• 1
  Own Marketing's Agent Center of Excellence. Drive the marketing team's agent and agentic-workflow strategy end-to-end, from tool evaluation and use-case prioritization to agent development, maintenance, and adoption.
• 2
  Co-design and ship AI agents (on Airtable, Hyperagent, Claude, and others) with business owners to automate high-volume, repeatable marketing work.
• 3
  Maintain the agent fleet as living infrastructure. Treat the agents and skills the marketing team already relies on as production systems: named owners, versioning, and measurable output.
• 4
  Lead the most complex builds yourself and create the framework for how the team evaluates, adopts, and governs AI responsibly.
• 5
  Raise the AI-fluency floor across all of marketing. Separate what's genuinely useful from hype and give the team a clear point of view on where to invest attention.
• 6
  Manage the ICs who own MarTech, Marketing Ops, and Airtable campaign management. Set direction, grow their agent-engineering capability, and stay hands-on-keyboard yourself.
• 7
  Evolve MOPs into a system that uses AI agents and automation to support predictable pipeline and clean lead management.
• 8
  Drive Airtable MarketingCentral's evolution into an intelligent ops layer and source of truth for how campaigns are briefed, scoped, prioritized, and handed off.
• 9
  Define and govern the martech stack: what you use, why, and how it connects, with a bias toward consolidation and AI-native tooling.
• 10
  Own the highest-priority cross-functional initiatives — the ones that need someone with full context on marketing strategy, operations, and data to drive to a clean outcome.

Requirements

• You've personally built and shipped AI agents or automated workflows, not just evaluated tools. You've used LLMs to change how you work.
• You come from marketing and know the engine: demand gen, lifecycle, campaign and lead ops, and the martech that runs them (Marketo, Salesforce, or equivalent).
• You're technical and data-savvy: comfortable in SQL and data models, reasoning about APIs and integrations, and light scripting — enough to build, debug, and architect systems, not just spec them.
• You've led MOPs or RevOps at a B2B SaaS company as a strategic function and pushed it past campaign support.
• You've made data legible to executives by building the narrative, not just reporting the numbers.
• You've managed technical ICs and know how to create direction for people whose work is hard to scope.
• You see AI adoption as a systems problem. You build the infrastructure and workflows that make AI useful across a team, not just training decks that explain it.
• You thrive in ambiguous, fast-moving environments where the scope expands with what you can build.

Perks & BenefitsTypical for this role