Full Stack Software Engineer, GTM AI Automation

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, WhatsApp, and AI together into one seamless workspace.

About the Role:

We're looking for a Full Stack Software Engineer with a product mindset to join our Data team and help transform how Aircall goes to market. You'll partner closely with go-to-market teams — Sales, Marketing, Customer Success, Support, and Revenue Operations — to understand their workflows, identify high-leverage opportunities, and build AI-powered tools that automate processes and boost productivity.

You'll move quickly from prototype to production. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and shape entirely new categories of internal tooling powered by AI.

What You Will Do:

• Build AI-powered tools and applications that accelerate Aircall's go-to-market efforts — from lead enrichment and workflow automation to intelligent dashboards and internal assistants
• Work across the full product lifecycle: prototype, iterate, ship, and maintain production-grade solutions
• Embed with GTM stakeholders (Sales, Marketing, CS, Support, RevOps) to map workflows and prototype solutions
• Apply LLMs and AI APIs in novel ways to solve real-world GTM workflow problems — automating repetitive tasks, extracting insights from unstructured data, enabling smarter decision-making
• Create reusable code libraries, integrations, and MCP servers to enable consumption of AI-powered tooling across the GTM stack (Salesforce, Slack, Outreach, and more)
• Collaborate with the Data & Analytics team to pull customer usage, engagement, and pipeline data
• Measure and iterate: deploy, track adoption, refine based on user feedback
• Write documentation and runbooks for productionized solutions

What We Are Looking For:

• 2–4 years of experience as a software engineer, data engineer, analytics engineer, product engineer, or ML engineer
• Full-stack proficiency: Python (FastAPI/Flask) backend and JavaScript/TypeScript (React) frontend
• Hands-on AI/LLM experience is a must: you have built or prototyped LLM-powered workflows using APIs from OpenAI, Anthropic, or similar providers
• Familiarity with modern AI frameworks and patterns such as LangChain, LlamaIndex, or AutoGen, and architectures like RAG, vector databases, reranking, and agentic workflows
• Strong product sense and ownership mentality
• Excellent communication skills
• A builder's mindset with a bias toward action, experimentation, and shipping

Nice to Have:

• Prior GTM role experience or building tools for GTM teams at a B2B SaaS company
• Experience with modern GTM tools: Salesforce, Outreach, Clay, HubSpot, Slack APIs, Twilio
• Proven understanding of agentic AI systems — designing, developing, and deploying AI Agents and MCP servers
• AWS cloud production experience
• Former founder or early startup engineer (0→1)

Salary: $150,000–$220,000 USD annually (excluding equity and benefits). Location: San Francisco or Seattle Office. Hybrid.