Director, Forward Deployed Engineering & AI GTM
Aircallioinc · New York Office; San Francisco Office
About this role
**Aircall — Director, Forward Deployed Engineering & AI GTM Lead** Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We bring voice, SMS, WhatsApp, and AI into one seamless workspace. The **Director, Forward Deployed Engineering & AI GTM Lead** owns the technical execution, go-to-market effectiveness, and organizational adoption of **Aircall’s AI Communication Agent (AVA)**. You’ll lead and scale the **Forward Deployed Engineering (FDE)** team while staying closely engaged in customer-facing work to ensure consistency, quality, and impact across deployments. --- ### Key Responsibilities - Lead, coach, and grow the **Forward Deployed Engineering team** from **6 FDEs today to 20 by EOY ’26**, setting standards for technical excellence, execution rigor, and customer impact. - Stay closely involved in active customer engagements and strategic initiatives, providing technical guidance, solution direction, and senior-level support. - Drive disciplined **AI Agents go-to-market execution**, embedding operating practices across the team (pipeline hygiene, forecasting accuracy, and collaboration with Sales, AM, SE, Partners, and CEs). - Pilot data-backed operating models: define and track clear **input/output KPIs** (e.g., activity metrics, time-to-value, deployment quality, usage, and revenue impact) to improve accountability and adoption. - Maintain deep technical credibility: stay close to the product and real-world use cases; comfortable coding in at least one language and highly fluent with APIs, integrations, and modern system architectures. - Guide scalable AI Agent deployments, including integrations with **CRMs, help desks, and System-of-Truth platforms**. - Build and evolve playbooks, reference architectures, and deployment frameworks for repeatable, high-quality execution. - Lead cross-functional programs focused on AI Agents success across Product, Engineering, Marketing, Support, and GTM. - Represent field execution and customer needs with Product and Engineering to influence roadmap priorities and delivery decisions. - Drive internal enablement and upskilling across GTM teams so Aircall Voice Agent is understood, positioned well, and adopted effectively. --- ### Qualifications - **7+ years** experience in technical sales, solutions engineering, forward-deployed engineering, or professional services (people-management experience strongly preferred). - Strong entrepreneurial mindset (startup within a startup; former founder is a plus). - Strong technical foundation: hands-on APIs, integrations, and data-driven systems; ability to code in at least one language (e.g., **Python** or **JavaScript**). - Proven ability to lead execution in complex, cross-functional environments while staying close to the field. - Experience with overlay/specialist GTM models; strong understanding of sales cycles, forecasting, and execution best practices. - Ability to build scalable playbooks and operating models beyond ad hoc delivery. - Excellent communication and stakeholder management; can translate between technical and business audiences. - Strong interest in AI and applied automation (AI/conversational AI experience is a plus). - Experience with **CRMs, help desks, and System-of-Truth architectures** is highly desirable. --- ### What Success Looks Like - Agents are consistently deployed with high quality and clear business imp
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