Jobs at Aircall

Lead regional forward-deployed engineering for AI voice and messaging agents. Build, configure, deploy, and debug customer solutions while coaching FDEs and developing playbooks and deployment frameworks. Own regional adoption and revenue targets, partner with sales and customer teams, enable internal stakeholders, influence product roadmaps, and lead cross-functional initiatives. The role requires strong technical depth, commercial judgment, executive communication, strategic problem-solving, and hands-on experience delivering integrations or agent solutions.

Own end-to-end delivery of low-code AI solutions for customers, including discovery, workflow design, CRM and communication-tool integrations, AI Agent configuration, deployment management, and performance optimization. Lead cross-functional projects, create reusable frameworks, train internal teams and partners, support outbound adoption campaigns, and influence product strategy. The role also owns regional revenue targets and collaborates with GTM, Product, Engineering, Sales, and Customer Success to scale AI adoption.

Develop scalable AI applications for Aircall’s customer communications platform, focusing on agent context, infrastructure, MCP, and agent memory. Collaborate with backend, frontend, infrastructure, product, and leadership teams on requirements analysis and system design. Build secure, scalable, highly available, and performant backend systems using Python, TypeScript/Node.js, or Java. Apply LLMs, AI frameworks, RAG architectures, and potentially AWS services in production.

Drive product analytics across feature adoption, usage, pricing, customer health, and experimentation. Partner with product, engineering, and business leaders to identify opportunities, deliver actionable insights, improve self-serve analytics and governance, and strengthen data pipelines and analysis quality. The role requires communicating complex findings clearly and working from Aircall’s San Francisco office two days per week.

Own the architecture, roadmap, data integrity, and automation of Aircall’s marketing technology stack. Lead HubSpot and Salesforce administration, attribution modeling, lead scoring, routing, integrations, data structures, and marketing-to-sales handoffs. Partner with Marketing, Sales, GTM Systems, Data Science, Growth, and AI Automation teams to improve funnel efficiency, reporting, campaign velocity, and self-service capabilities. Serve as the technical decision-maker for marketing operations systems and processes.

Build evaluation infrastructure for Aircall’s AI voice, chat, and messaging agents. Responsibilities include designing benchmarks and metrics, training and fine-tuning TTS, ASR, and speech-to-speech models, developing automated regression and release gates, calibrating LLM-as-judge systems, analyzing failures, monitoring production quality and drift, and evaluating voice-specific scenarios such as accents, noise, barge-in, DTMF, latency, and tool failures.

Own technical strategy and long-term AI adoption for strategic enterprise accounts. Lead discovery, solution design, integrations, AI Agent configuration, and complex cross-functional deployments using APIs, scripting, low-code tools, and CRM automation. Partner with account managers to drive expansion pipeline, advise senior stakeholders, develop reusable frameworks, mentor engineers, and influence product roadmaps through customer insights.

Leads and scales the Forward Deployed Engineering team while overseeing customer-facing AI Agent deployments, technical integrations, go-to-market execution, operating KPIs, reusable playbooks, and cross-functional alignment. Partners with Sales, Product, Engineering, Marketing, Support, and Account Management to improve deployment quality, adoption, revenue impact, and product evolution. Requires strong technical fluency with APIs, integrations, modern architectures, and coding, alongside experience in technical sales, solutions engineering, forward-deployed engineering, or professional services.