Search engine optimization manager (El Rancho)
Search engine optimization manager (El Rancho)
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El Rancho, México
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Publicado: hace menos de una semana
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Descripción
About Local Eyes Local Eyes is a B2 B corporate video agency operating across 40+ U. S. markets. We've produced 3,900+ videos for companies like Coca-Cola, Amazon, Cisco, Zapier, and Harvard. Emmy Award-winning. 500+ five-star reviews. 95+ NPS. What You'll OwnLocal SEO across 10 cities Google Business Profiles
- optimized, maintained, posting weekly across all 10 markets Local pack rankings
- we want top-3 for "video production company (city)" in 8 of 10 markets by Q3 NAP consistency, citation management, Bright Local and Local Falcon reporting Competitor tracking
- who's taking our positions and why AEO
- Answer Engine Optimization This is not optional. It's not a stretch goal. It's 30%+ of this role. JSON-LD schema implementation on every city page and service page LLMs.txt files maintained and updated as AI crawler behavior evolves Structured content built to answer the specific questions AI models pull from Monthly audit: is Local Eyes appearing in Chat GPT, Perplexity, and Google AI Overviews when someone asks about corporate video in our 10 cities? If not, what changes? Entity optimization
- making sure AI models consistently recognize Local Eyes as the authority in each market Organic SEO Technical SEO health
- crawlability, site speed, indexing, Search Console monitoring Service and industry pages
- optimized, current, converting Backlink health monitoring Content Production 8-12 pieces per month using an AI-assisted workflow You build the brief, Claude drafts, you edit and localize Content is optimized for both Google ranking and AI citation
- structured to answer specific buyer questions You know the difference between content that ranks and content that gets cited. Both matter here. Reporting Monthly SEO report to CEO
- rankings, traffic, AEO citation status, what's working, what's next What Good Looks Like at 90 Days All 10 GBPs fully optimized
- photos, categories, service descriptions, weekly posts live Local Falcon baseline report pulled and shared on day 1; rankings visibly improving by day 60 JSON-LD schemas live on every city page and all core service pages LLMs.txt updated and validated First AEO audit complete
- documented which queries we're appearing in and which we're not 8+ content pieces published using the AI drafting workflow Monthly SEO report delivered to Ryan on time without being asked What We're Looking ForYou have 4+ years of SEO experience
- you've owned rankings, not just reported on them. You've built something, watched it move, and understood why. You've done real AEO or structured data work
- not read about it, done it. You've implemented JSON-LD, you know what LLMs.txt does and why it matters, and you've thought about how AI models pull content from pages. You don't need to be the world's foremost expert. You need to be ahead of the market
- and most of the market hasn't started yet. You produce content with AI tools
- you're not precious about writing every word yourself. You know how to brief Claude, evaluate the draft, add the local specifics that make it real, and publish something that both ranks and answers questions a buyer actually has. You understand local SEO deeply
- not just "optimize the GBP." You know why a business with no physical presence in a city can still rank in the local pack, what signals move that needle, and how to do it across 10 cities simultaneously without letting any of them decay. You work async and own your output
- we don't do check-ins to make sure work is getting done. You produce a monthly report, you flag problems before Ryan notices them, and you know what your KPIs are every week without being told. You communicate clearly in English
- written and spoken. You'll be presenting monthly reports and occasionally jumping on a call with Ryan to walk through findings. Hard Requirements
- No Exceptions Can demonstrate live JSON-LD schema work you have built (work sample will test this) Has implemented or can explain LLMs.txt and its role in AI crawler optimization Understands local pack ranking factors for businesses without a physical presence Has produced content using AI tools
- not theoretically, in practice Business-level English
- written communication must be clean enough to go directly into reports Nice to Have Experience with Bright Local, Local Falcon, or similar multi-location tracking tools Has worked with a B2 B services company or agency (not just ecommerce or consumer) Familiarity with Hub Spot (we use it for attribution; you don't need to own it but knowing how traffic connects to pipeline helps) Has written content briefs that other writers or AI tools have executed from What You Won't Be Doing Manual citation building across 40 directories
- that gets delegated to a VA GBP photo uploads across 10 cities
- also VA territory Paid ads
- that's a separate seat Social media management Reporting to a marketing manager or director
- you report to Ryan This role is for someone who wants ownership, not someone who wants a checklist. Comp and Structure $3,500-4,500/month depending on experience (LATAM contractor via Deel) Full-time hours Async-first, adaptable schedule within reasonable US time zone overlap (2-3 hours/day) Direct access to CEO
- no layers, no bureaucracy Monthly review against KPIs; 30/60/90 day gates with clear pass/fail criteria Postúlate en Kit Empleo: kitempleo.com.mx/empleo/5uwjce
- optimized, maintained, posting weekly across all 10 markets Local pack rankings
- we want top-3 for "video production company (city)" in 8 of 10 markets by Q3 NAP consistency, citation management, Bright Local and Local Falcon reporting Competitor tracking
- who's taking our positions and why AEO
- Answer Engine Optimization This is not optional. It's not a stretch goal. It's 30%+ of this role. JSON-LD schema implementation on every city page and service page LLMs.txt files maintained and updated as AI crawler behavior evolves Structured content built to answer the specific questions AI models pull from Monthly audit: is Local Eyes appearing in Chat GPT, Perplexity, and Google AI Overviews when someone asks about corporate video in our 10 cities? If not, what changes? Entity optimization
- making sure AI models consistently recognize Local Eyes as the authority in each market Organic SEO Technical SEO health
- crawlability, site speed, indexing, Search Console monitoring Service and industry pages
- optimized, current, converting Backlink health monitoring Content Production 8-12 pieces per month using an AI-assisted workflow You build the brief, Claude drafts, you edit and localize Content is optimized for both Google ranking and AI citation
- structured to answer specific buyer questions You know the difference between content that ranks and content that gets cited. Both matter here. Reporting Monthly SEO report to CEO
- rankings, traffic, AEO citation status, what's working, what's next What Good Looks Like at 90 Days All 10 GBPs fully optimized
- photos, categories, service descriptions, weekly posts live Local Falcon baseline report pulled and shared on day 1; rankings visibly improving by day 60 JSON-LD schemas live on every city page and all core service pages LLMs.txt updated and validated First AEO audit complete
- documented which queries we're appearing in and which we're not 8+ content pieces published using the AI drafting workflow Monthly SEO report delivered to Ryan on time without being asked What We're Looking ForYou have 4+ years of SEO experience
- you've owned rankings, not just reported on them. You've built something, watched it move, and understood why. You've done real AEO or structured data work
- not read about it, done it. You've implemented JSON-LD, you know what LLMs.txt does and why it matters, and you've thought about how AI models pull content from pages. You don't need to be the world's foremost expert. You need to be ahead of the market
- and most of the market hasn't started yet. You produce content with AI tools
- you're not precious about writing every word yourself. You know how to brief Claude, evaluate the draft, add the local specifics that make it real, and publish something that both ranks and answers questions a buyer actually has. You understand local SEO deeply
- not just "optimize the GBP." You know why a business with no physical presence in a city can still rank in the local pack, what signals move that needle, and how to do it across 10 cities simultaneously without letting any of them decay. You work async and own your output
- we don't do check-ins to make sure work is getting done. You produce a monthly report, you flag problems before Ryan notices them, and you know what your KPIs are every week without being told. You communicate clearly in English
- written and spoken. You'll be presenting monthly reports and occasionally jumping on a call with Ryan to walk through findings. Hard Requirements
- No Exceptions Can demonstrate live JSON-LD schema work you have built (work sample will test this) Has implemented or can explain LLMs.txt and its role in AI crawler optimization Understands local pack ranking factors for businesses without a physical presence Has produced content using AI tools
- not theoretically, in practice Business-level English
- written communication must be clean enough to go directly into reports Nice to Have Experience with Bright Local, Local Falcon, or similar multi-location tracking tools Has worked with a B2 B services company or agency (not just ecommerce or consumer) Familiarity with Hub Spot (we use it for attribution; you don't need to own it but knowing how traffic connects to pipeline helps) Has written content briefs that other writers or AI tools have executed from What You Won't Be Doing Manual citation building across 40 directories
- that gets delegated to a VA GBP photo uploads across 10 cities
- also VA territory Paid ads
- that's a separate seat Social media management Reporting to a marketing manager or director
- you report to Ryan This role is for someone who wants ownership, not someone who wants a checklist. Comp and Structure $3,500-4,500/month depending on experience (LATAM contractor via Deel) Full-time hours Async-first, adaptable schedule within reasonable US time zone overlap (2-3 hours/day) Direct access to CEO
- no layers, no bureaucracy Monthly review against KPIs; 30/60/90 day gates with clear pass/fail criteria Postúlate en Kit Empleo: kitempleo.com.mx/empleo/5uwjce
Información clave
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Nombre de la empresaLocalEyes Video Production
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Nombre de la vacanteSearch engine optimization manager (El Rancho)
Consejos de seguridad
Desconfía de las ofertas de trabajo que establecen explícitamente “sin necesidad de experiencia”.
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