Senior Fullstack Engineer, Growth

Posted 1hrs ago

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Job Description

Senior Fullstack Engineer building onboarding, lifecycle, and checkout systems for Nivoda’s global jewellery marketplace. Improving activation, conversion, and retention through event-driven services and experimentation.

Responsibilities:

  • Own and evolve backend services behind onboarding, verification, activation, and the sign-up-to-purchase funnel
  • Design and build event-driven, workflow-orchestrated systems that continuously evaluate account states and trigger actions
  • Integrate with identity verification, KYB/KYC, and fraud/risk providers
  • Ensure integrations are resilient, well-monitored, and fail safely
  • Handle credit and payment data responsibly in personalization and reactivation logic
  • Design and run experiments with guardrail metrics
  • Write SQL and work directly in Snowflake or similar warehouses for cohort and funnel analysis
  • Diagnose time-to-activation, time-to-churn, and other funnel problems
  • Define problems without established playbooks and develop solutions
  • Use AI agents to accelerate building and testing funnel and lifecycle services
  • Review and verify AI-assisted analytical queries and generated output before use
  • Evaluate AI-generated messaging, reactivation copy, and churn-cause suggestions critically
  • Collaborate with Product, Data, and Risk in the Growth Pod

Requirements:

  • 4–7 years of experience
  • Strong backend product engineering experience, most likely in TypeScript/Node.js
  • Ownership of funnel-critical, production services
  • Hands-on experience with event-driven architectures and workflow orchestration
  • Genuine experimentation rigor, including guardrail metrics and distinguishing real results from noise
  • Strong SQL and warehouse fluency, including Snowflake or similar
  • Confidence performing cohort and funnel analysis independently
  • Comfort using AI agents to build and test software and draft and sanity-check analytical work
  • Judgement to catch subtle errors in AI-generated output
  • High tolerance for ambiguity
  • Practical fluency evaluating AI-generated copy, messaging, or root-cause suggestions
  • Nice to have: experience with identity verification, KYB/KYC, fraud and risk providers
  • Nice to have: experience handling credit, payment, or sensitive financial data
  • Nice to have: experience in a high-growth marketplace or fintech environment
  • Nice to have: familiarity with Temporal, AWS Step Functions, Kafka, or similar tooling
  • CV must be submitted in English

Benefits:

  • Flexible working hours
  • Remote-first culture
  • Real opportunities for growth and learning
  • Unlimited holiday allowance
  • Opportunity to join during an exponential expansion phase