Customer Care Associate (Multilingual)

Location: Hybrid in Paris, with other locations in London and Barcelona; Monday to Friday, 9:00–18:00 coverage required

Company

hirify.global builds SaaS and AI-enabled software that helps food distributors and their customers automate orders, reduce errors, and improve operational efficiency.

What you will do

• Own customer issues from first contact through resolution across French- and Spanish-speaking markets.
• Build and deliver fast, reliable support workflows for distributor operations.
• Resolve time-sensitive order errors, blocked accounts, and product problems.
• Make decisions affecting customer satisfaction, retention, and order-flow continuity.
• Identify recurring issues, drive root-cause fixes, and coordinate clear escalations with internal teams.
• Coach and train external support agents while maintaining service standards.

Requirements

• 1+ years of experience in customer support or operations in fast-paced, tech-enabled environments, with a track record of owning outcomes.
• Comfort working across multiple tools and stakeholders in ambiguous, high-pressure situations.
• Strong prioritization, real-time problem-solving, and judgment.
• Accountability when issues occur and commitment to resolving them fully.
• Native-level French speaking and writing required.
• Fluency in Spanish and English required; English at C1+ level in writing and speaking.
• Consistent availability required Monday to Friday, 9:00–18:00, including customer coverage for hirify.global and Goot.

Culture & Benefits

• Work on digitalizing operating systems for food distributors and automating orders, sales, and payments.
• Work with an AI product embedded in distributor workflows and affecting order accuracy, speed, and margins.
• Join a global team across 6 countries and 40+ nationalities.
• Receive ownership, equity, competitive compensation, health and wellbeing support, and localized long-term benefits including a sabbatical.
• Collaborate with colleagues focused on solving messy, real-world operational problems at scale.