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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong backend product engineering capabilities, particularly in TypeScript and Node.js, with a focus on event-driven architectures and workflow orchestration. Proficient in SQL and data analysis using Snowflake, with a practical understanding of AI integration for enhancing funnel and lifecycle services.
Highest-signal resume keywords
TypeScript/Node.js Backend EngineeringEvent-Driven ArchitectureSQL and Snowflake ProficiencyAI Integration and EvaluationFunnel and Cohort Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Product EngineeringEvent-Driven ArchitectureSQLCohort AnalysisFunnel AnalysisWorkflow OrchestrationAI IntegrationData AnalysisGuardrail MetricsProblem Definition and Solution Development
Soft Skills
Judgment in Evaluating AI OutputHigh Tolerance for AmbiguityCollaboration
Tools & Technologies
SnowflakeTemporalAWS Step FunctionsKafka
Industry Keywords
Identity VerificationKYB/KYCFraud and Risk ManagementFintechHigh-Growth Marketplace
Tech Stack
Tools & technologiesAWSJavaScriptKafkaNode.jsSQLTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Flexible working hours
- Remote-first culture
- Real opportunities for growth and learning
- Unlimited holiday allowance
- Opportunity to join during an exponential expansion phase
