Top Tech Jobs & Startup Jobs

Lead design and evolution of a Lakehouse data platform integrating Redshift, serverless analytics, and streaming. Own dbt, CI/CD, Airflow orchestration, feature store and ML pipelines. Build ingestion (Fivetran/custom Python), streaming transformations, observability, security/compliance, and mentor junior engineers.

Lead a 5–8 engineer backend team to deliver scalable distributed systems and APIs. Translate product goals into technical roadmaps, ensure reliable delivery, collaborate with Product and Design, hire and mentor engineers, and communicate progress and risks to leadership.

Lead real-time transaction surveillance: review and resolve alerts, handle complex escalations, feed detection improvements to Product/Data, optimize workflows, mentor junior analysts, ensure compliant documentation, and research financial crime typologies to create detection rules.

The Executive Assistant will manage the executive's calendar, organize meetings and travel, oversee internal operations, and prepare essential materials, ensuring seamless coordination within the Product and Engineering organization.

Lead end-to-end recruiting for complex corporate functions (Governance, Legal, Compliance, Finance, HR), own executive-level searches, source passive candidates, manage offers and negotiations, partner with hiring managers, oversee external search firms, improve candidate experience, and contribute to TA strategy and projects.

Own end-to-end recruiting for Sales and Customer Operations: source proactively, manage interviews and ATS (Ashby), partner with hiring managers, maintain data quality, and report on hiring metrics and funnel performance.

As a Fraud Data Analyst, you will architect real-time defense strategies against payment fraud, develop precision rules, optimize decisioning stacks, and report performance metrics to senior leadership while ensuring a frictionless user experience.

As a Fraud Data Analyst, you will design real-time fraud strategies, develop rules to combat fraud, optimize decision-making, and collaborate with teams to enhance user experience and report performance metrics.

As a Fraud Data Analyst, you'll develop strategies to combat payment fraud, optimize real-time decision-making, and present performance insights to leadership.

The Fraud Data Analyst designs real-time fraud detection strategies, optimizes decision-making tools, analyzes payment fraud, and presents data-driven insights to leadership.