The math and machinery behind modern marketing: measuring what works, running experiments, and building AI tools that run campaigns.
Top pay: highest pay, longest training
Head of Growth: Leads a team that runs rapid experiments across marketing, product, and data to grow users or revenue. Typical pay $155k.
Marketing Scientist / Mix Modeler: Uses statistics to measure exactly how much each ad channel really increases sales. Typical pay $135k.
Marketing Analytics Director: Leads the team that measures what marketing works and turns data into decisions. Typical pay $145k.
Marketing Technology Architect: Designs how all a company's marketing software (email, ads, customer data, AI tools) connects and works together. Typical pay $135k.
Personalization Manager: Decides what each customer sees on a website or app so it feels made just for them. Typical pay $110k.
Mid pay: solid pay, degree or apprenticeship
Marketing Analyst: Analyzes marketing data to figure out which campaigns work and why. Typical pay $75k.
Marketing Automation Specialist: Builds the automatic email journeys, lead scoring, and workflows inside marketing software. Typical pay $80k.
Marketing Operations Manager: Runs the processes, budgets, data, and tools that keep a marketing team running efficiently. Typical pay $100k.
Attribution Analyst: Figures out which ads and touchpoints deserve credit for each sale. Typical pay $85k.
Web Analytics Specialist: Sets up and interprets the tracking that measures what visitors do on websites and apps. Typical pay $75k.
Marketing Privacy & Consent Manager: Makes sure marketing follows privacy laws about cookies, tracking, and customer data. Typical pay $100k.
AI Marketing Engineer: Builds AI tools and agents that create ads, personalize emails, and run campaigns automatically. Typical pay $105k.
Customer Data Platform Specialist: Connects everything a company knows about each customer into one profile so marketing can be personal. Typical pay $95k.
Email Deliverability Specialist: Makes sure a company's marketing emails land in the inbox instead of the spam folder by managing technical settings and sender reputation. Typical pay $90k.
Ad Fraud Analyst: Catches bots and fake websites that steal advertising money by faking clicks and views, and helps brands stop paying for them. Typical pay $100k.
Data Clean Room Analyst: Matches customer data between two companies, like a retailer and a cereal brand, in a privacy-safe system so they can measure ads without sharing personal details. Typical pay $105k.
Starter: fastest way in
Marketing Data Coordinator: Keeps customer lists clean, accurate, and organized for marketing campaigns. Typical pay $50k.
Campaign QA Specialist: Checks emails, ads, and landing pages for broken links, typos, and errors before they go live. Typical pay $50k.
Lead Qualification Specialist: Reviews and contacts people who fill out website forms to see if they're likely customers. Typical pay $46k.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.