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Senior · TechnicalFull-time · Remote

AI Visibility Architect

Lead AI visibility strategy and structured data architecture for enterprise clients. Own blueprint work, entity models, and implementation review.

About the role

You will lead AI visibility strategy and structured-data architecture for enterprise clients — turning business meaning, search demand, and answer opportunities into one prioritized blueprint, then reviewing and signing off on its implementation across SEO, AEO, and GEO.

Responsibilities

  • Design AI Visibility Blueprints for enterprise clients
  • Build entity models and knowledge-graph structures
  • Write and validate complex JSON-LD
  • Review implementation work and sign off
  • Provide presale technical support

Requirements

  • 3+ years in technical SEO and structured data
  • Expert knowledge of Schema.org and JSON-LD
  • Hands-on with Google Search Console and GA4
  • Knowledge Graph optimization literacy
  • English B2+

Nice to have

  • +Enterprise SEO delivery experience
  • +Information architecture background
  • +Familiarity with AI search engines
  • +Published SEO, GEO, AEO, or AI visibility articles or case studies

Tech stack

JSON-LDSchema.orgGSCGA4HTML/JS

KPIs for probation period

The targets we check against during the 3-month probation.

First-pass delivery quality

Blueprint delivery time

Escaped defects

Pre-qualification artifact

2–3 hoursPaid test task

Submit a professional profile and a link to an existing, public artifact. One of the accepted types below — real work you authored and can explain.

Accepted artifacts (one of)

Production page with valid JSON-LD you authored
Public repo with JSON-LD patterns or validators
Case study with before/after markup and validation links
✓Valid example
Entity map + Organization / Product (or Service) / FAQ JSON-LD with validation links and a short risk logJSON-LD parses and validatesUses correct types; includes @id and sameAs where applicable
×Invalid example
Invalid JSON-LD syntax, missing @id, or duplicate @idPrivate or inaccessible links

Hiring process

Application

Immediate

Submit your profile and artifact through the form.

Auto-screening

1–3 business days

Automatic validation of profile and artifact — a 70+ score is required to pass.

Manual review

1–2 business days

Human review of qualified applications.

Quick interview

Scheduled via calendar

10-minute call about your artifact and experience.

Offer

1–2 business days

Reference check and offer with a 3-month probation period.

Ready to apply?

Join our team and help build the future of AI visibility and index control.

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