Jobs at Satispay

The Data Analyst will lead data architecture designs, develop AI workflows, create visualization tools, enhance decision-making, and collaborate with stakeholders.

As a Backend Software Engineer, you'll design, build, and scale mission-critical consumer features while collaborating cross-functionally. Responsibilities include improving payment mechanics and ensuring system reliability.

Own bank and product reconciliations across 30+ accounts and 5 legal entities, post treasury journal entries in SAP, resolve discrepancies, support month-/year-end closings and audits, document and improve reconciliation processes, and contribute to controls and ERP configuration to reduce manual effort.

Own and execute end-to-end vendor payments using ERP and banking platforms, resolve payment exceptions and unmatched invoices, maintain and improve payment workflows, document processes, and coordinate with Accounting, Procurement, Controlling and Treasury to ensure accurate, timely payments and audit readiness.

Design and build scalable backend systems for digital payments. Own feature lifecycle from intake to production, perform technical analysis, implement robust solutions, ensure quality and incident resolution, document work, and mentor peers while aligning service-level technical vision with the roadmap.

Lead finance analytics within Growth & Marketing: build P&L and cash‑flow models, investor reporting, dashboards, ETL/data models, unit-economics analyses, and AI-assisted workflows. Partner with Finance, Product, Marketing and senior leadership to translate financial data into actionable insights and scalable self-service assets.

Lead product launches and go-to-market strategies to drive B2B user acquisition and retention. Coordinate cross-functional teams (Product, CRM, RevOps, Performance, Creative), plan acquisition channels, run retention campaigns with CRM, measure program effectiveness, and iterate for continuous improvement.

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.

Support growth and adoption of the Welfare product by managing sales collateral, assisting employer acquisition channels, contributing to brand activations, coordinating B2B events, and rebuilding the Product Enthusiast advocacy program with tracking and automation.

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.

As an Executive Assistant, coordinate executive operations, manage calendars, travel logistics, internal culture, and administrative tasks, ensuring efficiency and discretion in a high-pressure environment.

The Payments Partnership Manager will develop and manage partnerships, negotiate deals, coordinate with internal teams, and analyze partnership performance.