5-7 years of experience managing engineering teams of 15-20 people
Proven track record in fast-paced tech environments like Stripe, Meta, or Amazon
Strong understanding of product development and user needs
Deep knowledge of AI trends and practical applications of LLMs and Voice Agents
Proficient in TypeScript, Python, and React with experience in integrations/APIs
Responsibilities
Drive the engineering roadmap with a focus on timely execution
Collaborate cross-functionally to innovate solutions for customer needs
Adapt to shifting organizational priorities and scale new workstreams
Simplify complex AI concepts for non-technical stakeholders
Engage at the architectural level to guide the team through challenges
Benefits
Key moment for growth and opportunities at Aircall
Emphasis on work-life balance
Fast-learning, entrepreneurial environment with strong team spirit
Diverse workplace with 45+ nationalities
Competitive salary package and benefits
Full Job Description
The Mission
Aircall is looking for an Engineering Director, AI Agents who thrives in high-stakes, high-growth environments. This is a role for a "Product-First" engineer-someone who doesn't just build to spec, but holds a strong point of view on how the product should evolve. You will lead the charge in turning our deep AI capabilities (LLMs, Voice Agents, TTS) into seamless, market-leading features. Key Responsibilities
Execution over Everything: Drive the roadmap with an obsessive focus on shipping. You are responsible for the "how" and the "when," ensuring the team hits milestones in a flexible, evolving environment.
Entrepreneurial Solutions: Drive X-functional collaboration with Sales and Product to build solutions that solve latent customer needs-innovating where others see roadblocks.
Strategic Flexibility: Be ready to scale up and absorb new workstreams (e.g., Messaging) as the organizational needs shift.
Technical Voice: Explain complex AI concepts (like Voice Agents) simply to non-technical stakeholders while maintaining a hands-on foundation in the tech stack.
Technical Depth: Proficient in TypeScript, Python, and React. Deep experience with integrations/APIs and the AI/LLM landscape.
Scale: Experience managing 15+ engineers and a demonstrated ability to scale organizations during shifts in product priority.
Experience & Profile
Scale & Leadership: You have a proven track record of managing engineering organizations of 15-20 people. You know how to scale teams, mentor leads/engineering managers, and maintain high delivery standards during rapid growth.
High-Velocity Pedigree: You've cut your teeth at fast-moving, high-bar tech companies (e.g., Stripe, Meta, Amazon) or high-growth startups. You understand "fast" means both speed of code and speed of decision-making.
Product Visionary: You have "Product Sense." You can hold your own in debates with strong-willed Product and Sales leaders because you understand the user and the business as well as the code.
Applied AI Focus: You will lead a team of high-caliber AI talent to ship Applied AI solutions. You should be deeply aware of AI industry trends and the practical application of LLMs and Voice and messaging Agents.
Technical Stack: You are a technically deep leader who can engage at the architecture and design level - helping the team think through hard problems while keeping a long-term view on decisions that matter. You know how to move fast without creating the kind of debt that slows everything down later.
Base salary range:
$292,000-$360,000 USD
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
Aircall is a cloud-based phone system and call center software that helps businesses manage their customer support and sales calls. The company's software allows users to make and receive calls from anywhere in the world, using a computer or mobile device. Aircall's software also includes features such as call routing, call recording, and analytics, which help businesses improve their customer service and sales performance. The company was founded in 2014 and is headquartered in New York City.
