Director, Forward Deployed Engineering & AI GTM Lead - New York

Aircall•New York Office, NY

56d•$160,000 - $200,000

About The Position

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 . This role leads and scales the Forward Deployed Engineering (FDE) team while remaining closely engaged in customer-facing work to ensure consistency, quality, and impact across all deployments. Operating at the intersection of Applied AI, technical delivery, and go-to-market execution, this leader works across Sales, Account Management, Product, Engineering, Marketing, and Support to ensure AVA is successfully positioned, implemented, and scaled. The role plays a critical part in shaping how Aircall brings AI to market - translating field execution into repeatable models, and customer learnings into product and GTM evolution.

Requirements

7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services roles, with prior people-management experience strongly preferred.
Strong entrepreneurial mindset, as this is a startup within a startup (even better if former founder)
Strong technical foundation, including hands-on experience with APIs, integrations, and data-driven systems; ability to code in at least one language (e.g., Python or JavaScript).
Demonstrated ability to lead execution in complex, cross-functional environments while staying close to the field.
Experience working within overlay or specialist GTM models, with strong understanding of sales cycles, forecasting, and execution best practices.
Proven ability to build scalable playbooks and operating models that move teams beyond ad hoc delivery.
Excellent communication and stakeholder management skills, translating between technical and business audiences.
Strong interest in AI and applied automation; prior experience in AI, conversational AI, or adjacent domains is a significant plus.
Experience with CRMs, help desks, and System-of-Truth architectures is highly desirable.

Responsibilities

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.