Global SEO & Content Specialist (Multilingual & AI)

Too Good To Go

Madrid

Hybrid

EUR 40,000 - 60,000

Full time

8 days ago

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Benefits offered by this job

Hybrid working

Health insurance

Pension plan

Volunteer time

Social events

Job summary

Too Good To Go is seeking an SEO & Content Specialist to own our global web content and search strategies. You will craft and optimize content across markets, ensuring localization and technical SEO Across languages, working with developers and regional teams.

You will analyze data from Semrush, GSC, and analytics tools to drive improvements, run experiments, and help convert visitors into app users and business signups. This is a hands-on role with real ownership in a fast-moving team.

Qualifications

: Significant hands-on SEO experience covering both content and technical aspects.
: Track record of growing organic traffic.
: Excellent writing and editing skills in English.
: Hands-on experience with Semrush, Google Search Console and Amplitude or GA4.
: Experience with multilingual, multi-country SEO and content localization.
: Experience working with developers and writing clear requirements.
: Curiosity about AI search and a test and learn mindset.
: Self-starter who enjoys ownership in a small, fast-moving team.

Responsibilities

Plan, write and optimize content that ranks for consumers and partners.
Make content localized and optimized for every country, collaborating with local teams.
Refresh and improve existing content library to maximize value.
Run technical SEO across a large, multi-language site: indexation, hreflang, structured data, site health and migrations.
Use Semrush and similar tools for keyword research, competitor analysis, rank tracking, and site audits, turning insights into improvements.
Build presence in AI-powered search (ChatGPT, Perplexity, Google AI Overviews).
Improve pages and user journeys to convert visitors to app users and partners.
Set up and run A/B tests on the website.
Track performance and translate data into actionable next steps.