Senior Fullstack Engineer

Senior Software Engineer – Growth Pod

We are 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.

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 event-driven, always-on backend systems that track thousands of accounts through activation, slipping, winback, lapsed, and churned states in real time, and the seamless front-end moments that educate customers, represent our brand, and move them toward a purchase. This isn't a role where you ship a spec and move on: you'll be expected to dig into the data yourself to work out what's actually going wrong when conversion isn't where it should be. You'll also work with identity verification and risk providers and with sensitive credit and payment data, so judgement and rigor matter here as much as raw engineering skill.

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 backend product engineering experience, most likely in TypeScript/Node.js, with real ownership of funnel-critical, production services
• Hands-on experience with event-driven architectures and workflow orchestration — workflow engines or event pipelines that evaluate state continuously and trigger actions automatically
• Genuine experimentation rigor: you've designed experiments properly, you understand guardrail metrics, and you know when a result is real versus noise
• 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

Nice to have

• 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

Our culture and what we offer

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.

Our current benefits

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

Equal Opportunity

Compensation: $190-250k base (based on seniority, location and performance) + equity.