Forward Deployed Engineer, Aircall

• 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
• 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

• 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
• 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

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment
• Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us