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CloudFactory is seeking an AI Marketing Operations Manager to own the systems, data, and campaign infrastructure powering the company's global pipeline. This is a builder's role at the intersection of demand generation, performance marketing, and applied generative AI.
You will architect and steward the HubSpot ecosystem, engineer scalable acquisition programs across paid, AI-native, and email channels, and translate performance data into strategic guidance for executive leadership. The ideal candidate thinks in systems, operates with precision, and is energized by redefining how B2B demand is generated in an AI-first market.
Key Responsibilities:
HubSpot Ecosystem Architecture: Own the health, structure, and integrity of the HubSpot database, including deduplication, property standards, lifecycle stage definitions, and segmentation frameworks. Design, test, and continuously optimize sophisticated workflows, lead scoring models, nurture sequences, and lifecycle journeys. Ensure reliable, bidirectional data flow between HubSpot and the broader go-to-market stack, including advertising platforms, sales engagement tools, and data enrichment services.
Paid Acquisition and AI-Native Channels: Plan, launch, and manage B2B acquisition programs across LinkedIn Ads, Google Ads, and emerging AI-native advertising environments such as ChatGPT. Apply understanding of how large language models index and retrieve content to strengthen organic visibility across Claude, ChatGPT, Gemini, and AI-powered search. Design and run structured experiments across ad creative, messaging, offers, and landing pages to reduce cost per acquisition. Use generative AI tools to produce high-quality campaign assets including social imagery, short-form video, and product demonstrations.
Email and Lifecycle Marketing: Build and scale outbound email programs that protect sender reputation and maximize deliverability. Develop persona-specific nurture sequences that educate buyers and advance marketing qualified leads toward sales qualified opportunities.
Analytics and Executive Insight: Build and maintain HubSpot dashboards providing trusted views of ROI, multi-touch attribution, funnel velocity, and pipeline contribution by channel and campaign. Deliver monthly performance analyses informing leadership decisions on budget allocation, channel mix, and strategic direction.
Requirements:
- Advanced, hands-on proficiency with HubSpot Marketing Hub and Sales Hub, including workflows, custom properties, lead scoring, and reporting (HubSpot certification preferred)
- Demonstrated experience managing B2B campaigns within LinkedIn Campaign Manager, Google Ads, and AI-driven advertising platforms
- Strong command of email deliverability protocols (SPF, DKIM, DMARC) and experience with outbound sales engagement platforms
- Working knowledge of HTML and CSS for landing page refinement, and experience deploying tracking pixels and conversion events through Google Tag Manager
- Track record of turning complex campaign data into clear, decision-ready recommendations
Preferred:
- Experience marketing to enterprise buyers in AI, data, or technology services
- Familiarity with generative engine optimization and how LLMs surface and cite brand content
- Demonstrated fluency with generative AI tools for creative production and marketing workflow automation
