Senior Fullstack Engineer, Growth

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership and enhance backend services related to onboarding, verification, activation, and the sign-up-to-purchase process.

• Design and construct event-driven systems that orchestrate workflows to continuously assess account statuses and initiate actions.

• Integrate with providers for identity verification, KYB/KYC, and fraud/risk management.

• Ensure that integrations are resilient, well-monitored, and capable of failing safely.

• Manage credit and payment data responsibly in personalization and reactivation strategies.

• Design and conduct experiments with established guardrail metrics.

• Write SQL queries and work directly within Snowflake or similar data warehouses for cohort and funnel analysis.

• Diagnose issues related to time-to-activation, time-to-churn, and other funnel-related problems.

• Identify problems that lack established solutions and create effective resolutions.

• Utilize AI agents to expedite the creation and testing of funnel and lifecycle services.

• Review and validate AI-assisted analytical queries and generated outputs prior to their application.

• Critically assess AI-generated messaging, reactivation copy, and suggestions for churn causes.

• Collaborate with the Product, Data, and Risk teams within the Growth Pod.

⛳️ Requirements

• 4–7 years of relevant experience.

• Strong backend product engineering background, particularly in TypeScript/Node.js.

• Proven ownership of production services that are critical to the funnel.

• Hands-on experience with event-driven architectures and workflow orchestration.

• A genuine commitment to experimentation, including the use of guardrail metrics to differentiate genuine results from noise.

• Proficient in SQL and data warehousing, including experience with Snowflake or similar platforms.

• Confidence in conducting cohort and funnel analysis independently.

• Comfortable utilizing AI agents for software development and drafting as well as validating analytical tasks.

• Ability to identify subtle errors in AI-generated outputs.

• High tolerance for ambiguity in work processes.

• Practical understanding of evaluating AI-generated messaging, copy, or root-cause analysis suggestions.

• Nice to have: experience with identity verification, KYB/KYC, fraud and risk providers.

• Nice to have: experience managing credit, payment, or sensitive financial data.

• Nice to have: experience within a high-growth marketplace or fintech sector.

• Nice to have: familiarity with tools such as Temporal, AWS Step Functions, Kafka, or similar technologies.

• CV must be submitted in English.

🏝️ Benefits

• Flexible working hours.

• Remote-first culture.

• Genuine opportunities for growth and learning.

• Unlimited holiday allowance.

• Opportunity to join during a phase of exponential expansion.