Forward Deployed Engineer, Aircall

• 5–8 years in technical consulting, solutions engineering, or integration-focused project management
• 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
• Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce)
• Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring
• 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

Desirable

• 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
• 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 (HubSpot 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 outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team
• Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking
• Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas
• Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform
• Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings
• Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners
• Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies
• What Success Looks Like:
• Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes
• Shortened time-to-first-value and increased automation adoption across SMB customers
• Reusable frameworks, models, and templates actively used by peers and partners
• Strong collaboration with Engineering and Product to enhance platform capabilities
• Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence
• Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions