We’re looking for an Answer Engine Optimization (AEO) Specialist to help shape how our brands and clients show up across modern answer-driven search experiences. This role focuses on optimizing content and data for AI-powered search, answer engines, and zero-click environments, including large language models, featured snippets, and conversational search surfaces.
This is not a traditional SEO-only role. It sits at the intersection of search, content, and AI behavior. You will work alongside SEO, content, and growth teams to ensure our content is structured, trustworthy, and discoverable in systems where users ask questions and expect direct answers.
If you’re curious about how AI interprets content, enjoy experimenting with emerging search formats, and want to be early in a fast-evolving discipline, this role is a strong fit.
Why You’ll Want to Join
- You will be paid in USD (bi-monthly: every 15th and 30th)
- Up to 14 days of Paid Time Off annually (starting Day 1)
- Observance of Holidays per company guidelines
- 100% remote setup so you can work wherever you’re most productive
- Work inside a forward-thinking SEO and growth team
- Opportunity to help define a new, high-impact search discipline early
What You’ll Work On
Answer Engine Optimization Strategy
- Develop and execute AEO strategies for AI-driven and answer-first search environments
- Optimize content for visibility in LLM-powered tools, featured answers, and zero-click results
- Identify how queries are interpreted by AI systems and adjust content accordingly
Content Structuring and Optimization
- Rewrite and structure content to improve clarity, factual accuracy, and answerability
- Optimize headings, summaries, FAQs, and schema for answer extraction
- Partner with writers and editors to improve content usefulness and trust signals
Search and AI Research
- Research how AI models surface, summarize, and cite content
- Track emerging trends across AI search, conversational interfaces, and search engine updates
- Test prompts, queries, and content formats to understand ranking and citation behavior
Schema, Entities, and Authority Signals
- Support implementation of structured data to improve machine readability
- Strengthen topical authority and entity relationships across content libraries
- Collaborate with SEO and technical teams to ensure clean, crawlable foundations
Measurement and Experimentation
- Define success metrics for AEO visibility and performance
- Track citations, mentions, featured placements, and answer inclusion
- Document findings and turn experiments into repeatable best practices
What You Bring
- 2 to 5+ years of experience in SEO, content strategy, or search-focused growth roles
- Strong understanding of how search engines and AI systems consume and rank content
- Excellent written communication skills with a focus on clarity and precision
- Analytical mindset with a willingness to test, measure, and iterate
- Comfort working in fast-changing, experimental environments
Nice to Have
- Experience working with structured data or schema markup
- Familiarity with LLMs, prompt testing, or AI content evaluation
- Background in editorial SEO, content audits, or knowledge-base optimization
- Comfort using AI tools to analyze search behavior or content gaps
How to Apply
Please include:
- Your updated resume
- A short 1–2 minute Loom video explaining how you think about answer-based search or how SEO is changing with AI
Only candidates who submit a Loom video will be considered.
If you’re excited about the future of search, enjoy working at the edge of SEO and AI, and want to help define how content wins in answer-driven environments, this role gives you the space to experiment, learn fast, and make real impact.
Application Process Overview
Our comprehensive selection process ensures we find the right fit for both you and our clients:
- Initial Application - Submit your application and complete our prequalifying questions
- Video Introduction - Record an video introduction to showcase your communication skills and work experience
- Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
- Recruitment Interview - Initial screening with our talent team
- Executive Interview - Meet with senior leadership to discuss role alignment
- Client Interview - Final interview with the client team you'd be supporting
- Background & Reference Check - Professional reference verification
- Job Offer - Successful candidates receive a formal offer to join the team
Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.
