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fonio

AI phone assistant platform for SMEs

Technical Customer Success Manager - Italian

Customer SuccessConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 2 to 5 years of experience in Customer Success, Account Management, Forward Deployment Engineering, or a technical client-facing role in SaaS or B2B.
  • Have a strong technical understanding and be comfortable reading API documentation and error logs to troubleshoot setup issues independently.
  • Have native or C2-level Italian and strong English proficiency.
  • Be structured, autonomous, and results-driven.
  • Be able to build trust with customers by phone or video.
  • Take initiative and test and iterate without waiting for direction.
  • Be comfortable working with a CRM and data-driven workflows.
  • Be willing to relocate to Vienna for 1 to 2 months at the start.

Responsibilities

  • Own a portfolio of Italian SMB customers across their full lifecycle with fonio.
  • Build customer relationships, surface value, and identify new use cases for AI agents to keep customers engaged.
  • Help customers set up their AI assistant, implement workflows for medium-complexity cases, and coordinate with developers on advanced setups.
  • Run check-ins and proactive calls based on usage signals such as low engagement, expansion opportunities, or setup friction.
  • Maximize the value of each customer in the portfolio and identify churn risks early so they can be addressed.
  • Work with a ready-made pipeline and clear playbooks, with room to test personal initiatives.
  • Manage activity autonomously in HubSpot.

Desired Qualifications

  • Have experience with tools such as n8n, Make, Codex, or similar.
  • Have experience with HubSpot.
  • Have an affinity for technology and AI products.

About the Company

fonio

AI phone assistant platform for SMEs

fonio.ai provides a no-code AI phone assistant for small and medium-sized enterprises, letting businesses deploy a customized virtual agent that answers calls 24/7, schedules appointments, takes orders, transcribes conversations, and routes to humans when needed, with CRM integrations and a pay-per-minute pricing model. It works by enabling a quick, code-free setup of an AI phone solution that handles natural speech in European languages, operates across calls, and connects with existing CRM systems. The platform differentiates itself by focusing on EU SMEs in the DACH region, offering European-language support, CRM integrations, and a pay-per-minute model with rapid deployment. Its goal is to expand across Europe, grow its product and customer base, and make AI-powered telephony accessible and affordable for European SMBs.

Company size
51-200
Company stage
Seed
Total funding
$19.4M
Headquarters
Vienna, Austria
Founded
2024

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