Jerry. ai
Car ownership management
TechLeadManager,CoreProductEngine(Backend)
Neural analysis suggests this role is
optimal for Lead candidates.
“Tech Lead Manager, Core Product Engine (Backend) at Jerry. ai. Skills: Backend architecture, Automation systems, System reliability, Scalability, Fault tolerance, AI-first approach. Evolve current automation systems to a robust, fault-tolerant framework. Handle external interface changes gracefully”
What You'll Achieve.
Grow from 5M to 50M users
Industry & Context.
Solving difficult problems; High-stakes puzzle of asynchronous state management; Navigating internal and external interfaces with precision; Hunting for edge cases in complex business logic; Understanding why a script failed
What They're Looking For.
Must Have
Experience with TypeScript, Experience with GraphQL, Experience with AWS (ECS/EKS, Lambda), Experience with asynchronous state management, Experience with real-time system reliability, Experience with fault-tolerant framework design, Experience with external interface changes, Experience with scaling across new categories, Experience with decoupled, scalable architecture, Experience with predictable and testable systems, Experience with AI-first approach for internal tools, Experience with offline, asynchronous jobs, Experience with decoupling, state management, and failure retry logic for async systems
Nice to Have
Founded a company, Lead architect at an early stage startup, Experience with Nest.js, Experience with React, Experience with AI/ML
What You'll Do.
Evolve current automation systems to a robust
fault-tolerant framework
Handle external interface changes gracefully
Scale across dozens of new categories with minimal manual intervention
Learn technical and business sides of the core product
Lead incremental refactoring of existing automation systems
Design and implement new standards
Pair with engineers to ensure new systems are predictable and testable
Shift towards using an AI-first approach to build the next generation of internal tools
Transition legacy automation systems into a more decoupled
scalable architecture
How You'll Work.
Team & Collaboration
Pairing with engineers; Working with likeminded peers
Full Job Description
The technical challenge: More than 80% of Americans own a car and see it as a fundamental necessity, yet the experience of owning one is stuck in the 90s. Every part of the user journey (shopping for a car, insurance, repairs, etc) is complicated, fragmented, expensive and time-consuming. At Jerry.ai http://Jerry.ai, we are building the first mobile app to manage it all. Our insurance marketplace is our core product today, and our ability to automate the end-to-end shopping experience is our core differentiator. The Core Backend Team owns the most critical part of that, the "last mile", where we orchestrate complex, multi-step transactions with external systems to finalize insurance policy purchases. Because the industry lacks modern APIs, we build custom orchestration layers that navigate internal and external interfaces with precision. It is a high-stakes puzzle of asynchronous state management and real-time system reliability. Your challenge will be to evolve our current automation systems to a robust, fault-tolerant framework that can handle external interface changes gracefully and scale across dozens of new categories with minimal manual intervention. Why you will (or won’t) like working here: - Ownership: You’ll report directly to our co-founder/CTO, who is actively involved in product implementation. There is no red tape, no slow-moving processes, and no layers of approvals needed. If you have an idea, you can pitch it, build it, and see it live in days. - Stellar team: We have a very high bar for talent, as a result, we have a small but mighty team that can move fast and accomplish a lot. You will work with likeminded peers who are equally passionate and who care intensely about what they do. - Hands-on: Many of our TLMs are ex-founders, they like getting their hands dirty and solving difficult problems. You will spend 80% of your time doing hands-on technical work (e.g. transitioning our legacy automation systems into a more decoupled, scalable architectur
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