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fonio

AI phone assistant platform for SMEs

Technical Customer Success Manager

Customer SuccessConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 2–5 years of experience in Customer Success, Account Management, Forward Deployed Engineering, or another technical client-facing role in SaaS or B2B.
  • Have a strong technical understanding and be comfortable reading API documentation and error logs to troubleshoot customer setup issues independently.
  • Have native-level or C2 English proficiency.
  • Be based in New York City or willing to relocate there; the role is onsite and office-first.
  • Be willing to spend the first 1–2 months in Vienna for onboarding.
  • Build customer trust by phone or video and work autonomously in a structured manner.

Responsibilities

  • Own a portfolio of US small and medium-sized business customers across their full lifecycle.
  • Build customer relationships, surface value, and identify new use cases for AI agents to keep customers engaged.
  • Support customers in setting up their AI assistant; implement workflows for medium-complexity cases and coordinate with developers for advanced setups.
  • Run check-ins and proactive calls based on usage signals, including low engagement, expansion opportunities, and setup friction.
  • Use the ready-made pipeline and clear playbooks while testing independent initiatives.
  • Maximize the value generated from each customer portfolio.
  • Identify churn risks early and take action.
  • Manage activity autonomously in HubSpot.

Desired Qualifications

  • Have hands-on experience with AI and automation tools such as n8n, Make, Codex, or similar tools.
  • Have experience with a CRM, ideally HubSpot, and data-driven workflows.

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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