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Forward Deployed Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Aircall
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, Whats App, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post‑call work, and AI Assist Pro delivers real‑time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world‑class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution‑focused, with visible impact, fast decisions, and real growth.

How we work at Aircall

We’re customer‑obsessed, data‑driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast‑moving environment where trust and impact matter, you’ll feel at home here.

About the Team

Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real‑world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross‑functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands‑on role at the intersection of technical consulting
, project leadership
, and AI adoption strategy
. You don’t need to be a full‑time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates.

About the Role

As a Forward‑Deployed Engineer, you’ll own the end‑to‑end delivery of technically sound, low‑code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling
, building reusable frameworks
, and leading cross‑functional initiatives that improve how Aircall deploys AI s is a hands‑on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption.

Please note, this is not a software engineering role. This is a hybrid, revenue‑driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership.

What you’ll do
  • Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.
  • Design, build, and deploy integrations using low/no‑code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (Hub Spot Workflows, Salesforce Flow) with API connectors.
  • Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.
  • Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.
  • Manage complex, cross‑functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.
  • Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.
  • Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.
  • Run global, targeted…
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