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New York, New York, United States
Remote only
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.
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.
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.
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.
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.
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
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 than waiting on a data team
Comfort using AI agents to build and test software and to draft and sanity-check analytical work, paired with the judgement to catch the subtle errors a reasonable-looking AI output can hide
High tolerance for ambiguity you're energised by problems that don't have an established playbook, not just ones with a clear spec
Practical fluency evaluating AI-generated output for fitness before it ships, whether that's copy, messaging, or a suggested root cause
Direct experience integrating with identity verification, KYB/KYC, or fraud and risk providers
Fintech-adjacent experience handling credit, payment, or other sensitive financial data responsibly
Experience in a high-growth marketplace or fintech environment with similar account lifecycle complexity
Familiarity with workflow/orchestration tooling such as Temporal, AWS Step Functions, or event-streaming platforms like Kafka
We're a collaborative, high-growth team that believes in empowerment over hierarchy. You'll have real ownership from day one, the chance to work on problems most companies don't even know they have yet, and a culture that takes learning and growth seriously — because we're scaling fast, and we need you to grow with us.
🏡 Flexible working hours and a remote-first culture
📈 Real opportunities for growth and learning
🌴 Unlimited holiday allowance
🚀 The chance to join during an exponential expansion phase
Nivoda is an equal opportunity employer. We're committed to building a diverse and inclusive team, and we welcome applications from people of all backgrounds, regardless of race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. Even if it seems you don't meet 100% of our musts, don't let that stop you from applying — we'd still love to hear from you.
Please submit your CV in English.
Join the Nivoda Talent Pool and we'll reach out when something that's a better fit comes up.
