About the role

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.

About the role

The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.

In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.

Skills & Tags

rust ai data analytics product

Aplyr's read

Aircall is a dynamic cloud-based phone system provider, attracting tech-savvy professionals keen on enhancing business communication through innovative integrations and streamlined workflows.
Synthesized from recent postings & public sources

What's promising

•Aircall's platform integrates seamlessly with popular CRM and helpdesk tools.
•The company is expanding its global reach with roles in EMEA, LATAM, and DACH.
•Focus on real-time analytics and data engineering shows commitment to cutting-edge technology.

What to watch

•High competition in the cloud communication space may pressure market share.
•Rapid expansion could strain internal resources and affect company culture.
•Dependence on third-party CRM and helpdesk tools may limit flexibility.

Why Aircall

•Aircall specializes in voice communication, setting it apart from broader telecom solutions.
•The platform's user-friendly interface is tailored for modern business needs.
•Strong emphasis on integration capabilities enhances customer interaction efficiency.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Aircall

Aircall

aircall.io

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Aircall is a cloud-based phone system designed for modern businesses, enabling teams to communicate effectively through voice calls and integrate seamlessly with various CRM and helpdesk tools. Their platform enhances customer interactions and streamlines workflows, making it easier for companies to manage their communication needs.