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
As a Data Scientist specializing in visualization engineering, you will own the layer where data meets decisions. Aircall's go-to-market teams (Sales, Marketing, Customer Success, Customer Support, and RevOps) rely on dashboards and data products every day. You'll design, build, and maintain that layer, from the semantic models underneath to the interfaces people actually use.
This is a specialist role on our Data Science team. You'll sit alongside data scientists working on forecasting, attribution, and modeling, and you'll be the person who makes analytical work land with the business. You'll partner cross-functionally with GTM teams and Data Engineering to raise the quality, reliability, and performance of our reporting ecosystem.
Your mission @ Aircall:
- Partner with GTM stakeholders to translate business questions into reliable, scalable data products.
- Build and own reporting in Looker, from LookML development to dashboard design, powering the self-service analytics GTM teams rely on every day.
- Drive dashboard performance and reliability: query optimization, caching strategy, and content hygiene as usage scales.
- Contribute to our data governance and certification practices, so the business knows which numbers to trust and metric definitions stay consistent across teams.
- Build stakeholder-facing analytical apps where a standard dashboard isn't the right answer.
- Work closely with data engineers to continuously improve the data stack, pushing fixes upstream into the modeling layer where that's the better solution.
A little more about you:
- 2+ years of hands-on experience in analytics, BI, or data science in a high growth environment
- Proficiency in SQL, including the ability to read and optimize queries you didn't write
- Proficiency in Python
- Hands-on Looker/LookML experience, you've built explores and views, not only consumed dashboards
- Strong visualization skills to build stories and insights from raw data in a clear and concise manner (we use Hex and Looker)
- Familiarity with data pipeline/orchestration tools (e.g., dbt, Airflow)
- Experience collaborating with data engineering to build and maintain healthy pipelines, with experience with lakehouse table formats (e.g., Apache Iceberg) and distributed data processing (e.g., PySpark) as a plus
- Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
- You have an insatiable curiosity and are biased toward action
Why join us?
🚀 Key moment to join Aircall in terms of growth and opportunities
💆♀️ Our people matter, work-life balance is important at Aircall
📚 Fast-learning environment, entrepreneurial and strong team spirit
🌍 45+ Nationalities: cosmopolite & multi-cultural mindset
💶 Competitive salary package & benefits
DE&I Statement:
At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Skills Required
- 2+ years of hands-on experience in analytics, business intelligence, or data science in a high-growth environment
- Proficiency in SQL, including reading and optimizing existing queries
- Proficiency in Python
- Hands-on Looker and LookML experience, including building explores and views
- Strong data visualization skills using Hex and Looker
- Familiarity with data pipeline and orchestration tools such as dbt and Airflow
- Experience collaborating with data engineering to build and maintain healthy data pipelines
- Excellent interpersonal skills and ability to explain complex data clearly to stakeholders at all levels
- Experience with lakehouse table formats such as Apache Iceberg
- Experience with distributed data processing such as PySpark
Aircall Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aircall and has not been reviewed or approved by Aircall.
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Healthcare Strength — Employer-paid core medical, dental, and vision coverage is emphasized, alongside mental health and wellness support. Coverage is described as starting quickly after hire and complemented by wellness reimbursements and related programs.
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Parental & Family Support — Generous parental leave for primary and secondary caregivers is highlighted, with added childcare reimbursements. Family-oriented benefits are positioned as part of a supportive culture.
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Leave & Time Off Breadth — Unlimited PTO, wellness days, and paid volunteer time are offered. Time-off policies are framed to encourage rest and work-life balance.
Aircall Insights
What We Do
Aircall is the phone system for modern business. An entirely cloud-based voice platform that integrates seamlessly with popular productivity and helpdesk tools that workplaces are already using, Aircall was built to make phone support as easy to manage as any other business workflow—accessible, transparent, and collaborative.
Why Work With Us
At Aircall, we’re equally thrilled by our ambitious goals, and by the journey that will lead us there. Our culture is rooted in our mission: we believe that now more than ever, good communication has the ability to make a difference. We’re learning, trying, and improving every day.
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