About Nivoda Nivoda is the operating system for the global jewellery industry. We connect diamond and gemstone suppliers directly with jewellery retailers across more than 70 countries, replacing a slow, offline, relationship-gated way of trading with a single digital marketplace. We're already powering over $300M in annual transactions, inside an industry worth more than $350B globally and we're still early. Jewellery is one of the last major global industries to go digital, and we're the ones building the rails it will run on. Our Mission Diamond and gemstone trading has run for decades on fragmented networks, manual processes, and who-you-know relationships which locks smaller and newer businesses out, and leaves even the biggest players losing time and margin to inefficiency. We started Nivoda to fix that: to give any jewellery business, wherever it is and whatever size it is, the same access, pricing transparency, and ease of trading as an industry giant. Our mission is to make buying and selling diamonds and gemstones radically simpler, everywhere in the world. The Growth Pod You'd be joining the Growth Pod, the team responsible for everything that happens between a business discovering Nivoda and becoming one of our most valuable customers: sign-up, onboarding, verification, activation, and the ongoing work of keeping accounts engaged instead of letting them slip away. We're a small, high-ownership team inside an engineering org that moves fast and expects you to bring judgement, not just code. You'll work closely with Product, Data, and Risk, and you'll have a real say in how we solve problems that don't yet have a playbook. About the Role We’re hiring a Senior Engineer for the Growth Pod to own both the backend systems and the front-end experiences that turn a new sign-up into an active, paying customer — the services and screens that decide whether a business converts or falls out of the funnel. The problems worth solving here span Sign-up/Onboarding, Discovery, and Checkout: you’ll build the sign-up, onboarding, verification and checkout experiences that decide whether a business converts, and the services behind them that keep each account moving from activation to repeat purchase. You’ll own a flow end to end, from the screen a new jeweller sees to the data that tells us whether it worked. Our tech Stack • Frontend: React / Next.js • Backend: TypeScript/Node.js, GraphQL API gateway, Nx monorepo + PNPM • Platform & Data: OpenSearch fed via CDC from PostgreSQL plus Spark/EMR/Glue ingestion jobs. PostgreSQL (OLTP) → Snowflake (dbt-modeled, medallion raw/curated/presentation layers). Jenkins (“Nivoda Build”) + GitOps for deploys. AWS (EMR, Glue, DMS, Kubernetes-based deploys) • Analytics: Segment/Mixpanel • Auth: Keycloak · SSO: Okta • Observability: Grafana for logs/traces. What would you be doing? Customer Facing Experience • Build and ship React/Next.js interfaces for sign-up, onboarding, verification, discovery and checkout. • Partner with Design and Product to turn funnel insights into UI changes, and test them. • Own front-end performance, accessibility and analytics instrumentation for the funnel. • Build reusable components in our design system (MUI) that represent the Nivoda brand. Core Funnel & Lifecycle Systems • Own and evolve the backend services behind onboarding, verification, activation, and the broader sign-up-to-purchase funnel, most likely in TypeScript/Node.js given our stack • Design and build event-driven, workflow-orchestrated systems that evaluate account state continuously — activation, slipping, winback, lapsed, churned — and trigger the right action automatically, rather than relying on batch scripts Identity, Risk & Trust • Integrate with third-party identity verification, KYB/KYC, and fraud/risk providers, and make sure those integrations are resilient, well-monitored, and fail safely • Handle credit and payment data responsibly as part of personalization and reactivation logic, with full awareness of what’s at stake if that logic is subtly wrong Experimentation & Analysis • Design and run experiments properly — including defining guardrail metrics and knowing when a result is real versus noise — for things like referral incentives, reactivation offers, and onboarding changes • Write your own SQL and work directly in the warehouse (Snowflake or similar) to run cohort analysis, diagnose time-to-activation and time-to-churn, and get to the bottom of funnel problems without waiting on a data team • Take on problems that don’t have an established playbook — like a credit utilization gap or a signup-to-purchase conversion decline — and help define the problem, not just solve a given brief Building with AI • Use AI agents to accelerate building and testing funnel and lifecycle services, with extra care reviewing anything that touches credit, payment, or verification logic • Use AI to help draft and sanity-check your own analytical queries, while owning full responsibility for verifying results before they inform a real decision • Evaluate AI-generated output - personalized messaging, reactivation copy, churn-cause suggestions — critically, rather than shipping whatever the model produces uncritically What do we need from you? • Years of Experience: 4 - 7 years • Strong full stack product engineering experience, with real ownership of customer-facing, production features, from UI to service • Deep experience with React/TypeScript and modern front-end practices (state management, performance, accessibility, testing) • Genuine experimentation rigor: you've designed experiments properly, you understand guardrail metrics, and you know when a result is real versus noise • Experience with, or appetite for, and workflow orchestration — workflow engines or event pipelines that evaluate state continuously and trigger actions automatically • Strong SQL and warehouse fluency (Snowflake or similar), and the confidence to do your own cohort and funnel analysis rather th