Engineering Manager, Data Engineering

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 Role:We are seeking a visionary and results-driven Engineering Manager, Data Engineering to lead our team and drive Aircall's next phase of growth. In this strategic leadership role, you will oversee the design, development, and evolution of our enterprise data infrastructure while fostering a high-performing team culture. You will act as a trusted advisor to senior leadership, translating technical capabilities into business impact and championing innovation in data engineering.

This role demands a leader who excels in people management, technical excellence, and cross-functional collaboration. You will elevate team productivity, mentor emerging talent, and ensure our data platforms scale seamlessly to meet Aircall's ambitious goals.

Your Mission @ Aircall:

1. Lead Teams & Drive Performance

- Build, mentor, and inspire a high-performing data engineering team, setting clear expectations and fostering a culture of ownership, innovation, and accountability.

- Conduct regular performance reviews, provide actionable feedback, and identify opportunities for skill development and career growth.

- Champion best practices in code quality, data governance, and operational excellence, ensuring adherence to SLAs and compliance standards.

2. Architect Scalable Data Platforms

- Oversee the design and optimization of large-scale data processing platforms (e.g., Spark, Flink) and cloud-native solutions (AWS preferred) to support business-critical pipelines.

- Drive the adoption of cutting-edge tools and frameworks to improve data reliability, efficiency, and cost-effectiveness.

- Partner with Data Science, Analytics, Sales, Marketing, and Product teams to align infrastructure roadmaps with evolving business needs.

3. Communicate Strategically & Collaborate Cross-Functionally

- Simplify complex technical concepts into actionable insights for executives and non-technical stakeholders.

- Present data platform strategies, ROI analyses, and risk assessments to senior leadership to influence decision-making.

- Build strong partnerships with Engineering, DevOps, Product, and Business teams to break down silos and deliver cross-functional solutions.

4. Lead with Empathy & Approachability

- Foster an inclusive, collaborative environment where team members feel empowered to innovate and share ideas.

- Balance high standards with empathy, ensuring the team remains motivated and engaged during fast-paced growth.

5. Drive Thought Leadership

- Educate business stakeholders on data engineering best practices, emerging trends, and cost/benefit tradeoffs.

- Advocate for data-driven decision-making by showcasing how scalable infrastructure unlocks business value.

- Represent Aircall as a technical leader in industry forums, conferences, or open-source communities.

• 8+ years in data engineering, including 3+ years managing teams of 5+ engineers.
• Technical Expertise: Proven experience with distributed systems (Spark, Hadoop) and modern data stacks (dbt, Airflow, Kafka). Advanced SQL/Python skills.
• Leadership: Track record of elevating team performance, managing underperformers, and retaining top talent.
• Communication: Exceptional storytelling and presentation skills; able to engage C-suite audiences.
• Collaboration: Known for building trust across teams and resolving conflicts with diplomacy.
• Innovation: Passion for exploring new technologies (e.g., GenAI/ML ops pipelines, real-time analytics) to solve business challenges.

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 & equity

Medical, dental, and vision insurance is 100% covered

 401k plan with company matching

 Unlimited PTO — take the time you need to come to work feeling great

 Wellness, commuter, and childcare reimbursements

 Generous parental leave policy

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.

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