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Key skills for this role
Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7–8 by H1 ‘26, setting clear 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 where needed.
Drive strong AI Agents go-to-market execution by embedding disciplined operating practices across the team, including pipeline hygiene, forecasting accuracy, and effective collaboration with Sales, AM, SE, Partners, and CEs.
Pilot the team using data-backed operating models, defining and tracking clear input and output KPIs to assess performance, drive accountability, and accelerate AI Agent adoption (e.g., activity metrics, time-to-value, deployment quality, usage and revenue impact).
Maintain deep technical credibility by staying 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 the design and delivery of scalable AI Agent deployments, including integrations with CRMs, help desks, and System-of-Truth platforms.
Build and evolve playbooks, reference architectures, and deployment frameworks that enable repeatable, high-quality execution as the team scales.
Lead cross-functional programs focused on AI Agents success, coordinating efforts across Product, Engineering, Marketing, Support, and GTM teams.
Represent field execution and customer needs in close partnership with Product and Engineering, influencing roadmap priorities and delivery decisions.
Drive internal enablement and upskilling across GTM teams, ensuring Aircall Voice Agent is clearly understood, well-positioned, and effectively adopted.
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Agents are consistently deployed with high quality and clear business impact across customers.
The FDE team scales effectively with shared standards, reusable frameworks, and predictable execution.
Go-to-market execution for Agents is disciplined, data-driven, and improving quarter over quarter.
Cross-functional teams operate with strong alignment around AI Agents' priorities, launches, and roadmap decisions.
Field learnings continuously inform product evolution and GTM strategy, strengthening Aircall’s leadership in applied AI.
Aircall is an AI-powered customer communications platform that unifies voice, omnichannel messaging, and AI automation for sales and customer support teams. Founded in 2014, the platform provides AI virtual agents, conversation intelligence, revenue intelligence, and native integrations with Salesforce, HubSpot, Zendesk, and 250+ tools — enabling over 22,000 businesses globally to manage every customer conversation, automate workflows, and turn interactions into revenue.
Visit company websiteJobs and hiring trendsDirector · 7+ years experience
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