AI Ops, Marketing

Laurel•San Francisco, CA

1d•Remote

About The Position

Laurel is seeking an AI Ops & Strategy team member focused on Marketing to act as an AI force multiplier for the marketing organization. This role will push the boundaries of AI tooling to accelerate content velocity, sharpen targeting, compress campaign cycles, and unlock capacity across demand generation, content, brand, and lifecycle marketing. The goal is to help Marketing achieve significant growth towards $100M ARR. This position requires a blend of strategy, building capabilities, and coaching others, with a focus on autonomy, fast iteration, and enabling team effectiveness.

Requirements

2-5 years in RevOps, Marketing Ops, Solutions Engineering, Growth, or GTM Ops.
Hands-on experience with Claude Code, Clay, n8n, Replit, Lovable, Cursor, and Gumloop, including building real workflows with these tools.
Clay fluency required; experience building enrichment workflows, scoring models, or campaign automation with Clay.
Strong working knowledge of the AI tooling landscape, including Claude, ChatGPT, and similar tools.
Proven ability to work cross-functionally in fast-paced, high-ownership environments.
Comfortable with CRM systems and data hygiene best practices.
Sharp process thinker with a strong sense of what good looks like across GTM functions.
Lifelong learner with a strong bias for action and experimentation.

Nice To Haves

Marketing experience.
Marketing ops, demand gen, or content ops background.
Experience with Salesforce, HubSpot, or similar CRM platforms.

Responsibilities

Partner with Marketing, Content, Demand Gen, and RevOps leaders to understand workflows, pain points, and goals.
Build and deploy AI agents and automations using specified tools (Dust, Claude Code, Clay, n8n, Replit, Lovable, Cursor, and Gumloop).
Prototype internal tools for content operations, competitive intelligence, campaign automation, and creative production.
Design and implement ABM enrichment, lead scoring, and attribution workflows.
Own end-to-end rollout of AI initiatives, including training, change management, and adoption tracking.
Create playbooks and knowledge-sharing resources to scale impact across Marketing and broader Go-To-Market (GTM) functions.
Act as an internal coach, helping teams improve their comfort and fluency with AI tools.
Manage vendors, negotiate contracts, and ensure all tools meet security and compliance standards.
Track and report ROI on implemented solutions, including pipeline generated, content output, and time saved.