Full Stack Software Engineer, GTM AI Automation

Aircall•San Francisco, CA

86d

About The Position

Aircall is seeking a Full Stack Software Engineer with a product mindset to join their Data team. This role will focus on transforming Aircall's go-to-market strategy by partnering with Sales, Marketing, Customer Success, Support, and Revenue Operations. The engineer will identify opportunities and build AI-powered tools to automate processes and enhance productivity. The position involves working closely with GTM stakeholders, moving quickly from prototype to production, and owning end-to-end outcomes for new categories of internal tooling powered by AI. This is an opportunity for engineers who want to be close to users and make a significant impact at the intersection of engineering, data, and business operations.

Requirements

2–4 years of experience as a software engineer, data engineer, analytics engineer, product engineer, or ML engineer working on user-facing systems.
Full-stack proficiency: comfortable building end-to-end applications with Python (FastAPI/Flask) on the backend and JavaScript/TypeScript (React) on the 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. You understand prompt engineering, model integration, and how to ship AI features into production.
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: you take initiative, move quickly, and care deeply about whether your work is actually used and useful.
Excellent communication skills: you're comfortable working directly with non-technical end users, gathering requirements, doing lightweight design, and presenting solutions.
A builder's mindset with a bias toward action, experimentation, and shipping.

Nice To Haves

Prior experience in a GTM role (Sales Ops, Marketing Ops, RevOps, Sales, or Marketing) or significant experience building tools for GTM teams at a B2B SaaS company.
Experience with the modern GTM tools ecosystem: Salesforce, Outreach, Clay, HubSpot, Slack APIs, Twilio, etc.
Proven understanding of agentic AI systems, including designing, developing, and deploying AI Agents and MCP servers.
AWS cloud experience — you've deployed and operated production applications on AWS and understand how to design for scalability and reliability.
Former founder, or early engineer at a startup who built a product from 0 to 1.
Curiosity about the rapidly evolving AI landscape: different models, paradigms, and tools being used in the wild.

Responsibilities

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 that GTM teams rely on daily.
Embed with GTM stakeholders (Sales, Marketing, CS, Support, RevOps) to deeply understand their pain points, map workflows, and rapidly 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, and 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 and leverage it within your tooling.
Measure and iterate: deploy solutions, track adoption and impact against pre-defined metrics, and continuously refine based on end-user feedback.
Write documentation and runbooks for productionized solutions so others can maintain and debug them.