Your job is to make Waniwani's infrastructure invisible at scale.
We launched the first insurance app inside ChatGPT. Now hundreds of companies want to deploy their own AI-native storefronts through our platform. Every one of them needs its own MCP server, its own codebase, its own distribution. All running flawlessly, all interconnected, all managed by you.
The Company
Waniwani is building the AI distribution infrastructure for the $10T services economy. We enable companies to sell quote-based services (insurance, wealth, …) directly inside LLMs, where buying decisions are moving. Think Shopify, but for services. We're building the rails for AI-native commerce.
This is Day 1 of a platform shift. Our ChatGPT insurance launch triggered $26B in market cap losses for the world's largest brokers in 48 hours. The press called it "the industry's ChatGPT moment." We call it Day 1.
Why This Role Exists
We're past proof of concept. The product works. Now we need to run it for hundreds of customers simultaneously, each with their own MCP server, their own data pipelines, their own distribution dashboards, without the platform breaking a sweat.
This is a systems-level engineering problem. You'll own the architecture that lets Waniwani scale from dozens of deployments to thousands. Multi-tenant infrastructure. Multi-codebase orchestration. Real-time data flowing across hundreds of interconnected services. The kind of work where one bad abstraction costs you months, and one good one buys you years.
We expect 95% of your code to be written by AI. Your value isn't in typing. It's in knowing what to build, how to architect it, and when the AI got it wrong. You'll operate at the speed of someone who treats LLMs as a core part of their engineering workflow, not a novelty. The bottleneck is judgment, not keystrokes.
What You'll Actually Do
Own the multi-tenant platform. Architect and maintain the infrastructure that hosts hundreds of MCP codebases. Each isolated, each configurable, all observable from a single pane of glass (or MCP).Build the data backbone. Design the pipelines that aggregate statistics, analytics, and performance metrics across every deployed instance. Make the data real-time, reliable, and actionable.Ship the core app. Work hands-on in the main Waniwani application: a Next.js/TypeScript codebase with Drizzle ORM, React Query, and a modern component architecture. You'll build features that customers and internal teams use daily.Design for scale. Make architectural decisions that hold at 10x. Multi-codebase deployment strategies, database partitioning, caching layers, job queues. Whatever the problem demands.Automate everything. CI/CD pipelines, codebase provisioning, health monitoring, rollback systems. If a human has to do it twice, you build a system to do it forever.Instrument relentlessly. Logging, tracing, alerting. When something breaks at 2am across 300 instances, the system should tell you exactly where and why, before anyone notices.You'll work directly with the CTO. The architecture is yours to shape. The stack is TypeScript end-to-end.
This Role Is for You If
You've built and operated systems at real scale. You've dealt with multi-tenant architectures where tenant isolation actually matters. You've managed codebases that couldn't fit in one repo and data that couldn't fit on one machine.You're a senior engineer with 5+ years of production TypeScript. You've been the person on-call when things break and the person who redesigns systems so they stop breaking.You think in systems, not features. When something works for one customer, you make it work for a thousand.Native or bilingual English required. French is a plus.
Pluses
Experience with multi-tenant SaaS platforms (tenant isolation, provisioning, billing)Built or operated big data pipelines (Kafka, ClickHouse, BigQuery, or similar)Deep PostgreSQL knowledge: partitioning, query optimization, connection pooling at scaleInfrastructure-as-code experience (Terraform, Pulumi, or similar)Familiarity with MCP (Model Context Protocol) or LLM tool-use ecosystemsContributed to open-source infrastructure projectsExperience with Next.js, Drizzle ORM, or similar modern TypeScript stacksManaged deployments across multiple cloud providers or edge networksBuilt internal developer platforms or deployment automation
Why Waniwani
Ruthless execution. Execution is what differentiates average outcomes and startup failure from massive impact. You will learn to execute surrounded by relentless doers and extremely ambitious teammates.Ownership. You'll architect the entire platform infrastructure from the ground up.Category creation. You won't join a market. You'll contribute to defining a category.Global. We sell global from day 0: US, Australia, Middle East, Korea… with offices in Paris, San Francisco, New York, and remote across Europe.Real equity. Meaningful ownership at the earliest stage.Best prep for founding. If you want to start your own VC-backed venture, this is the best battlefield to train on.