Aircall

4 months ago

Director, Forward Deployed Engineering & AI GTM Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead and scale Aircall's Forward Deployed Engineering (FDE) team to deliver AI Communication Agent deployments, guiding technical delivery, GTM execution, and field feedback. Own cross-functional programs with Sales, Product, Marketing, and Support; stay close to customer engagements; translate field learnings into repeatable playbooks and product/roadmap evolution; code in at least one language and maintain strong API/integration credibility.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7–8 by H1 2026, 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.

Pay and Benefits

Salary: USD 160,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services, with prior people-management experience preferred.
•Strong technical foundation 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.

Experience:7+ yearsAISaaSEnterprise software

Skills:CommunicationStakeholder managementLeadershipProblem-solving

Tech Stack:PythonJavaScriptAPIsIntegrationsCRMsSystem-of-TruthCloud architectures

Company Brief

Aircall

Provides a cloud-based phone system and call center platform for businesses, offering VoIP, call routing, analytics, integrations with CRM and helpdesk tools to support sales and customer support teams.

Industry: Telecommunications

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: Paris, France

Founded: 2014

Website LinkedIn

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Aircall

4 months ago

Director, Forward Deployed Engineering & AI GTM Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7–8 by H1 2026, 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.

Pay and Benefits

Salary: USD 160,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services, with prior people-management experience preferred.
•Strong technical foundation 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.

Experience:7+ yearsAISaaSEnterprise software

Skills:CommunicationStakeholder managementLeadershipProblem-solving

Tech Stack:PythonJavaScriptAPIsIntegrationsCRMsSystem-of-TruthCloud architectures

Company Brief

Aircall

Industry: Telecommunications

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: Paris, France

Founded: 2014

Website LinkedIn