AEO and GEO Marketing Manager

Who we are

About the company

The company is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use the company to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth, creative, analytics, and regional marketing to drive revenue through self-serve and sales motions. We work globally, across all the company offerings and with all company segments - from startups to the largest enterprises.

• In this role, you’d be joining a global, cross-functional team dedicated to testing and scaling cutting-edge acquisition channels

• Our team helps the company increase the GDP of the internet by ensuring our web presence is perfectly optimized for the next generation of artificial intelligence and search technologies

What you’ll do

The company is seeking an AEO and GEO Marketing Manager to lead the channel. This individual will play a critical role in growing new user acquisition from platforms including ChatGPT, Perplexity, and Google AI Overviews. The scope of the role includes Generative Engine Optimization (GEO), also known as Answer Engine Optimization (AEO) or Large Language Model (LLM) Search Optimization, improving AI agent experience, and integrating AI capabilities to improve the performance and efficiency of search and answer engine channels.

This individual will spearhead efforts by developing and executing a roadmap of activities and experiments to improve answer engine performance. They will have the opportunity to work closely with cross-functional partners including Growth Marketing, Content Marketing, Engineering, and Analytics at the company.

Responsibilities

• Lead the growth and user acquisition strategy for the Answer Engine Optimization channel

• Optimize the company so artificial intelligence agents can efficiently access and take action on behalf of users

• Spearhead the development and integration of artificial intelligence capabilities to improve the efficiency of search and answer engine channels

• Deliver regular reports and updates on channel performance to track progress and identify new opportunities

• Partner with content, engineering, and data analytics teams to build a comprehensive testing roadmap

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience creating and executing search engine optimization strategies, with direct experience with answer engine optimization and generative engine optimization

• Proven technical experience making websites SEO and AEO-friendly

• Experience analyzing data and in dashboards and reporting software such as Tableau, Looker, Adobe Analytics, or Google Analytics to drive growth decisions

• Experience applying user intent analysis to prioritize actions that deliver measurable outcomes

• Proven ability to take initiative, independently problem-solve, and drive tasks to completion

• Experience leading project roadmaps across cross-functional stakeholders, including engineering and content teams

Preferred qualifications

• Experience or familiarity with Natural Language Processing (NLP), vector search, and Retrieval-Augmented Generation (RAG)

• Experience managing search optimization in-house for business-to-business (B2B) software-as-a-service (SaaS) companies

• Experience working within the fintech, payments, billing, accounting, or startup industries

• Experience writing SQL queries to extract and gather data independently

• Bachelor's degree or 4 years of additional relevant professional experience