Marketing Operations Specialist

GoTu•Miami, FL

About The Position

We’re seeking a Marketing Operations Specialist to help build and maintain the technical backbone of GoTu’s marketing function. This role will support AI-powered workflows across demand generation, content, lifecycle marketing, and analytics. This is not simply a “prompt engineering” role. The ideal candidate will get hands-on building and maintaining real workflows, automations, and integrations, and you'll be accountable for keeping them running well. You’ll work at the intersection of marketing, data, product, and AI to create scalable infrastructure that helps GoTu’s marketing team operate more efficiently and effectively.

Requirements

1–3 years of experience in marketing operations, growth operations, revenue operations, or a related field
Bachelor’s Degree or equivalent professional experience required
Hands-on experience as a HubSpot power user, including workflows, lists, sequences, automation, lifecycle management, and reporting
Demonstrated experience building with AI tools, including LLM APIs, AI development platforms, or workflow automation tools such as Make, n8n, or Zapier
Strong analytical skills with an understanding of attribution modeling, funnel analysis, marketing performance, and pipeline reporting
A systems-oriented mindset with the ability to identify root causes, design scalable solutions, and continuously improve existing processes
Ability to work effectively across Marketing, Data, Product, and other functions without relying on a predefined playbook
Strong written communication skills with the ability to create clear specifications, SOPs, technical documentation, and stakeholder updates
Superb communication skills, both verbal and written
Ability to thrive in a fast-paced, high-growth environment
Comfort operating within ambiguity and taking ownership from initial concept through implementation and ongoing optimization

Nice To Haves

Python or SQL for data, automation, and pipeline work
Supabase, Snowflake, Hex, Tableau, or other modern data infrastructure and analytics platforms
Marketplace, B2B2C, or two-sided platform business models
AI agent frameworks and APIs, including LangChain, Claude API, OpenAI, or comparable technologies
Healthcare, dental, staffing, or recruiting industries
Web scraping, data enrichment, licensing data, or ICP signal frameworks

Responsibilities

Maintain and improve GoTu’s internal AI teammate infrastructure, including routing logic, prompt maintenance, system optimization, and performance monitoring
Build and optimize marketing automation workflows in HubSpot, including sequences, lead scoring, lifecycle stages, lists, and cross-channel triggers for both dental offices and dental professionals
Develop AI-powered content operations pipelines spanning brief generation, SEO/AEO workflows, drafting, quality assurance, and publishing automation
Own key components of the marketing data stack, maintaining clean attribution, UTM governance, funnel visibility, and pipeline reporting across platforms such as HubSpot, Snowflake, Hex, and Tableau
Collaborate with demand generation partners on channel infrastructure across LinkedIn, Meta, Bing, job boards, direct mail, and other acquisition channels
Build and maintain AI-native marketing systems and engagement tools, including conversational AI and automated onboarding experiences
Support scraper pipelines, data enrichment processes, and licensing data infrastructure that inform go-to-market targeting and ideal customer profile signal frameworks
Identify opportunities to improve marketing processes through automation, integrations, and AI-powered workflows
Troubleshoot system issues, identify root causes, and implement scalable solutions rather than short-term fixes
Document marketing systems and processes, maintain clear SOPs, and enable the broader marketing team to operate autonomously within the infrastructure you build
Partner cross-functionally with Marketing, Data, Product, and other teams to design and implement systems in an evolving, high-growth environment