Jerry. ai

car ownership

EngineeringManager,CoreProductEngine(Backend)

CA$230–280k Toronto, Ontario, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Engineering Manager, Core Product Engine (Backend) at Jerry. ai. Skills: Core Backend Team ownership, Orchestrating complex, multi-step transactions, Building custom orchestration layers, Asynchronous state management, Real-time system reliability, Fault-tolerant framework development, AI-first approach for internal tools. Owning the most critical part of the "last mile" for insurance policy purchases. Building custom orchestration layers”

What You'll Achieve.

Scale across dozens of new categories with minimal manual intervention; Grow from 5M to 50M users

Industry & Context.

car ownership
Problems you'll solve

Solving difficult problems; 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 Nest.js, Experience with React, Experience with GraphQL, Experience with AWS (ECS/EKS, Lambda), Experience with asynchronous state management, Experience with real-time system reliability, Experience with system design for 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 AI-first approach

What You'll Do.

Owning the most critical part of the "last mile" for insurance policy purchases

Building custom orchestration layers

Evolving current automation systems to a robust

fault-tolerant framework

Deeply learning the technical and business sides of the core product

Leading incremental refactoring of existing automation systems

Designing and implementing new standards

Pairing with engineers to ensure new systems are predictable and testable

Shifting towards using an AI-first approach to build the next generation of internal tools

How You'll Work.

Team & Collaboration

Reporting directly to co-founder/CTO; Working with likeminded peers; Pairing with engineers

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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