Director of Forward Deployed Engineering & AI GTM Lead, Aircall
$160-200k
+ Annual bonus (60/40 split) + Equity
3 days a week in office
AI-powered communications platform
Be an early applicant
AI-powered communications platform
501-1000 employees
Be an early applicant
$160-200k
+ Annual bonus (60/40 split) + Equity
3 days a week in office
501-1000 employees
Company mission
To empower every professional to have rich conversations, so they can focus on closing deals and delighting customers.
Role
Who you are
- We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision
- If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in
- 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
What the job involves
- 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
- 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
- What Success Looks Like:
- 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
Our take
Call centres have been a mainstay of sales teams for decades, with the human touch delivering an impression conversion rate of about 30% for inbound calls. However analogue call centres are physical infrastructure-heavy and unable to take advantage of the flexibility afforded by remote and hybrid ways of work. Aircall exists to change that, providing a cloud-based call centre infrastructure that allows sales teams to work from their home offices.
Aircall isn't the only company in this space, and it faces heavy competition from Cloudtalk, another cloud-based call centre solution. However Aircall stands out in the market by its use of open APIs and webhooks, making integration with existing productivity and helpdesk tools much easier, and its superior call quality. Aircall has developed a significant customer base with these strengths, with over 20,000 companies using its platform.
The company has raised significant funding in recent years, highlighting the confidence investors have in their offering. With a rapidly expanding presence in the US, European, UK and Australian markets and the recent addition of AI voice agents to handle business calls 24/7, Aircall is clearly set on innovating at scale.
Steph
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$120m
SERIES D
May 2020
$65m
SERIES C
Total funding: $225.6m
Company HQ
NoMad, New York, NY
Leadership
Scott Chancellor
(CEO)Prior to joining Aircall as CEO in 2023, Scott was CEO of Humu and Chief Product/Technology Officer at Apptio. He also spent 7 years at Amazon Web Services as a Director and General Manager of AWS Insights.
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