Forward Deployed Engineer — Internal AI Enablement

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. As AI tools rapidly transform how organizations operate, we are expanding our internal capabilities to enable responsible, scalable adoption of AI across the company. To support this effort, we are building an AI Enablement function focused on accelerating productivity across the entire company — including both engineering and business teams. This initiative helps teams adopt AI responsibly while translating real operational and engineering workflows into practical AI-augmented solutions. We are looking for a Forward Deployed Engineer (Internal) to help Aircall scale the practical use of AI across teams. This role sits at the intersection of technology, operations, and internal productivity. Your mission will be to work directly with teams across the company to identify operational bottlenecks and implement AI-enabled workflows that improve how work gets done. You will collaborate with teams including Engineering, Legal, HR, IT, Finance, Operations, and Billing to translate real problems into practical solutions using AI tools, automation, and integrations. While many projects will focus on business workflows, the role will also support engineering productivity initiatives, helping teams leverage AI tools within development workflows, documentation, automation, and internal tooling. This is not a traditional product engineering role, but it requires strong technical thinking and hands-on implementation of AI tools and workflow automation. You will also contribute to shaping AI governance, tooling standards, and adoption practices across the company. What You'll Do:

Embed & Solve: Partner directly with departments (Legal, HR, Finance) to identify manual friction and deploy practical AI solutions that solve real-world problems.

Build & Prototype: Rapidly design and implement AI-enabled workflows, including automated document generation, prompt-driven tools, and internal system integrations.

Scale Engineering Velocity: Collaborate with developers to adopt AI coding assistants, automate documentation, and reduce friction in the engineering lifecycle.

Own the AI Stack: Manage the enterprise AI toolkit, overseeing vendor selection, cost monitoring, security compliance, and access provisioning.

Drive & Measure Adoption: Lead internal workshops and create playbooks to scale AI literacy, ensuring every implementation results in measurable time savings and reduced manual effort.

What We're Looking For:

Pragmatic Engineer: You are a builder who prioritizes shipping functional tools over theoretical research. You enjoy deconstructing messy operational challenges into clean, technical solutions.

AI & Automation Proficiency: You have a deep understanding of LLM architectures, prompt engineering, and the AI tooling ecosystem. You’re comfortable working with APIs and middleware to bridge disparate systems.

Technical Consultant Mindset: You can bridge the gap between non-technical stakeholders and complex workflows. You’re adept at gathering requirements and operating autonomously in ambiguous environments.

Outcome-Driven: You focus on measurable impact. Success for you is defined by reduced latency in manual processes, high-accuracy automation, and quantifiable time savings for the team.

Systems Fluency: Whether your background is in Forward Deployed Engineering, Solutions Architecture, or Tech Ops, you bring a product-oriented approach to scaling AI and internal infrastructure.

Why this Roles Matters:

AI adoption across companies often grows organically and without structure. Without the right enablement: AI usage becomes fragmented, governance risks increase, tool sprawl accelerates, productivity gains plateau

This role helps transform AI from a collection of tools into a scalable operational capability for the company.

Our Approach:

Impact-First Scaling: We are starting lean and scaling based on measurable performance. As the first dedicated Forward-Deployed Engineer in our AI Enablement initiative, you will have the unique opportunity to define how AI is adopted across the entire organization.

Cross-Functional Architecture: You will operate at the intersection of Engineering Productivity, Security, IT, Legal, and Business Operations to ensure AI solutions are secure, compliant, and deeply integrated.

Operational Edge: Your work won't just be experimental; it will directly influence Aircall’s operational strategy by building the next generation of AI-augmented workflows.