Full Stack Software Engineer, GTM AI Automation at Aircall

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.