Marketing Specialist
Pubblicato il 15-08-2026 - TextYess in Torino
Ciao, we're TextYess
We're TextYess , the AI-first CRM that turns conversations into revenue. On-site, WhatsApp, email, voice: our AI Agents sell, support, and retain customers for the best B2C brands out there, autonomously.
We believe the future of commerce is warmer, more human than ever - just at a scale no human team could pull off alone.
We've raised €3M+ and work with brands like Ducati, Pittarosso, MC2 Saint Barth, and Doppelgänger. We're a lean, fast, Italian-born scale-up now expanding our story internationally and this role is a big part of writing it.
The role
As Marketing Specialist, you'll work directly with the CEO (currently acting as Head of Marketing) to bring our marketing strategy to life: launching campaigns, shipping landing pages, coordinating freelancers (mainly on paid advertising), creating content, and improving our website.
This is a hands-on role for someone who loves building, shipping, testing, and iterating. Every week will look different, and you'll touch almost every aspect of marketing.
What you'll actually be doing
- Build landing pages,
lead magnets, and other marketing assets for campaigns, launches, and events.
- Design and edit creatives for paid advertising across Meta, LinkedIn, and Google, and coordinate the freelancers/agencies running it.
- Own our social channels (especially LinkedIn) and keep textyess.com sharp - copy, visuals, conversion.
- Partner with Product, Sales, and Customer Success to turn customer stories into content, and support webinars, launches, and outbound campaigns.
- Analyze what's working and iterate, from MQLs to conversion - so every campaign beats the last.
What you bring
- 2+ years of experience in marketing , preferably in a fast-growing startup.
- You're a generalist who enjoys doing many different things rather than specializing in one channel.
- You've worked with freelancers or agencies and know how to coordinate external partners .
- You're highly organized and naturally biased towa