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 at scale. This 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, reporting to our GTM organization.
What you'll do:
What you'll bring:
0-6+ years of experience in technical consulting, solutions engineering, or integration-focused project management.
Client facing experience required
Technical skills:
Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) - able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.
Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
Tools experience:
Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.
Excellent communication and stakeholder management skills, translating between technical and business audiences.
A growth mindset - constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.
Nice-to-haves:
Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).
Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).
Exposure to scripting (JavaScript/Python) for light customization and debugging.
What Success Looks Like:
$120,000 - $190,000 a year
This base range is not including a quarterly bonus (20 percent) and other benefits.
The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.
Why This Role is Unique
This is a role for builders, connectors, and enablers. You'll be at the intersection of AI innovation, customer experience, and scalable delivery - combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall's internal capability to deploy AI faster and smarter.
If you're motivated by making cutting-edge technology accessible and impactful - while continuously learning and helping others do the same - this is the perfect next step in your career.
| Location | San Francisco Office; Seattle Office, CA |
| Salary | $120,000–$190,000 Per Year |
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