Senior Fullstack Engineer, Growth

Nivoda is hiring a Senior Engineer for its Growth Pod to build backend systems and front-end experiences that guide businesses from sign-up to active, paying customers. The role owns onboarding, verification, activation, and purchase-funnel systems, while using data and experimentation to improve conversion and customer lifecycle outcomes.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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
• 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