Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace.
Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service.
We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets.
At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real.
How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in
About the Team:
Our Data team is the backbone of Aircall's decision-making process, driving product development and business growth with cutting-edge data & AI products, tools, and actionable insights. You'll join a collaborative team of data professionals, product managers, and GTM leaders. We value rigorous analysis, clear communication, and a bias toward shipping work that drives real business outcomes.
Specifically, the Data Science team is divided into two subteams: GTM Analytics and Product Analytics. You would work on one of those teams based on your past experience and/or current interests, which would inform who your primary stakeholders are: GTM Analytics works closely with leaders across sales, account management, support, marketing, while Product Analytics partners closely with product managers, engineers, and designers.
About the Role:
As a Data Scientist or Senior Data Scientist, you will provide invaluable insights to our product and/or business teams. You'll support impactful initiatives including pricing, packaging, multi-product strategies, and self-service approaches. You will collaborate cross-functionally with teams such as Product, Engineering, Sales, Finance, Marketing, and Account Management to translate data needs into powerful solutions. You'll establish best practices in analytics and ensure high standards in data governance and insight generation. At the Senior level, you'll also mentor team members and help shape our analytics roadmap.
