Quick Summary
Define the QA framework, run calibration sessions across teams and markets, and ensure scoring stays consistent across all channels and geographies.
Responsibilities
~1 min read- →Set and calibrate quality standards: Define the QA framework, run calibration sessions across teams and markets, and ensure scoring stays consistent across all channels and geographies.
- →Build the training system: Design structured learning paths, certification frameworks, and training materials that define what good looks like across all Customer Care markets.
- →Own knowledge management end-to-end: Run the internal KMS and Help Center — from content prioritization and governance to SLA adherence and Tone of Voice alignment.
- →Be the quality railguard for AI: Own the knowledge layer feeding our AI bot and automated agents, and turn quality reviews into structured feedback that shapes the AI Lab's roadmap.
- →Turn quality data into action: Track quality scores, time-to-proficiency, KB freshness, and deflection rates — and use them to move CSAT and escalation metrics.
- Deep QA and training experience: You've spent 7+ years in Customer Ops or Support quality and training roles, ideally in a fast-moving SaaS or tech environment.
- QA framework builder: You've designed calibration grids and scoring systems from scratch — and made teams that didn't define them adopt them anyway.
- Influence without authority: You've moved stakeholders — Product, Legal, team leads — using data and credibility, not hierarchy.
- Systems thinker: You catch second-order effects before they surface: flagging a FAQ gap when a product changes, anticipating a compliance edge case in bot content.
- AI-ready and bilingual: You're comfortable owning the knowledge layer that feeds AI agents, and you're fluent in both French and English.
- Strategic Impact: Lead a broad and real scope where you'll define what quality excellence looks like for Customer Care across three European markets.
- Cross-functional collaboration: You'll influence Product, Legal, and the AI Lab through quality data — shaping roadmaps and standards.
- AI focused initiative: You'll own the knowledge layer powering our bot and AI agents at a moment when that layer directly determines the quality of thousands of customer interactions.
- Dynamic team: Six embedded specialists, two per market, with room to build depth through ownership.
Your Manager will be Julie, Director of Customer Care & Success at Qonto. Julie has been with Qonto since 2020 and has grown through several strategic roles, including Chief of Staff / Directrice de cabinet, before taking the lead of Customer Care & Success Operations.
Today, Julie owns the transformation of CS&D, reshaping the team’s structure and mission to better serve customers, empower the team, and strengthen Qonto’s operational impact. She brings a strong mix of strategic thinking, operational excellence, and customer obsession — with a clear focus on building scalable systems, improving how teams work, and turning customers into Qonto ambassadors.
Expect a manager who combines high standards with structured thinking, gives teams clear direction, and creates space for ownership in a function that is evolving fast.
If you receive a suspicious message claiming to be from Qonto, please report it right away (support@qonto.com)
Location & Eligibility
Listing Details
- Posted
- July 3, 2026
- First seen
- July 3, 2026
- Last seen
- July 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 70%
- Scored at
- July 3, 2026
Signal breakdown
Please let Qonto know you found this job on Jobera.
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