Swoogo

Artificial Intelligence

• Intake, prioritize, and execute internal AI tool requests from stakeholders across the org
• Build and ship internal tools using AI APIs (Claude, OpenAI, etc.), MCP workflows, and modern deployment platforms (Vercel, GitHub)
• Audit and document existing MCP integrations to identify which are reliable, which have data gaps, and which should be deprecated or improved
• Establish best practices for how internal teams use AI tools, including security, credential management, token usage, and version control
• Manage the full lifecycle of internal tools: scoping, building, deploying, credentialing, monitoring usage, and iterating based on feedback
• Identify opportunities proactively rather than waiting to be assigned tasks, bringing a creative and strategic lens to where AI can drive the most impact
• Collaborate with Engineering and Product to bridge gaps between internal tooling needs and platform capabilities

Internal AI Operations Engineer

Marketing Operations

• Build and maintain full-funnel reporting (conversion, cohort, pipeline influence, ROI); proactively surface performance issues and recommend corrective actions.
• Establish and enforce shared definitions for lifecycle stages, lead statuses, and funnel metrics to ensure measurement reliability.
• Own campaign operations setup, list pulls, enrichment, audience building, UTM tagging, QA, launch, and post-launch performance tracking across email, paid, web, events, and ABM programs.
• Translate reporting insights into prioritized experiments across messaging, audiences, offers, nurture paths, and routing.
• Create and maintain cross-functional SLAs for lead handoff, speed-to-lead, follow-up, and feedback loops with Sales and RevOps.
• Administer and improve HubSpot, Apollo, and Salesforce: workflows, properties, lifecycle logic, campaign objects, integrations, and automation QA in partnership with other RevOps owners.
• Evaluate, rationalize, and manage the broader MarTech stack for cost, reliability, scalability, and integration quality.
• Build scalable audience systems (segmentation, suppression, enrichment, activation) and maintain data quality standards across the funnel.
• Define and operationalize lifecycle strategy: lead scoring, routing, nurture paths, and buyer intent workflows aligned to ICP and buying signals.
• Run the Marketing Ops operating model end-to-end: intake, prioritization, build, QA, launch, measurement, and retrospectives across all campaign types.

Internal AI Operations Engineer

Senior Marketing Operations Manager