Jobs at Klar

Owns relationships with activated B2B clients, driving product adoption, monetization, retention, upsell, and cross-sell opportunities. Monitors account health, prevents churn, manages portfolio KPIs, and partners with Risk, Product, Operations, and Revenue teams to resolve issues and improve products. The role serves as a strategic advisor to SME clients using Klar’s financial products.

Drive B2B revenue by prospecting, qualifying, demoing, and closing SME clients. Manage full sales cycle, maintain CRM records, collaborate with product/marketing/customer success, and meet sales quotas while shaping the new B2B pipeline.

Develop and maintain Klar’s cross-platform Flutter applications for Android, iOS, and Web. Collaborate with design, product, and backend teams to deliver secure, responsive experiences. Apply modular architecture, state management, testing, performance optimization, CI/CD, and code-quality practices. Use AI coding agents throughout the software development lifecycle, configuring reliable workflows for large codebases. Contribute to technical discussions, code reviews, platform integrations, analytics, and ongoing engineering improvements.

Own the end-to-end Mexico payroll cycle, including input validation, provider coordination, statutory compliance, reconciliations, funding support, audits, employee inquiries, and annual payroll processes. The role requires strong knowledge of Mexican payroll legislation, IMSS, INFONAVIT, IDSE, SUA, payroll CFDI, payroll taxes, accounting close, and external payroll providers such as ADP.

Manage full-cycle recruitment for business and technology teams, partnering with hiring managers to define hiring needs, source and interview candidates, select talent, and coordinate interviews. The role supports high-volume recruiting in a fast-paced startup environment and requires strong communication, organization, English proficiency, and knowledge of hiring tools and current recruitment trends.

Own end-to-end Customer Experience initiatives, including AI and automation pilots, process optimization, knowledge management, root-cause analysis, and support-flow improvements. Analyze operational data and KPIs to identify customer and efficiency opportunities, design scalable solutions, measure impact, and collaborate with Product, Operations, and Data & AI teams. The role is based in Mexico City with a hybrid office schedule.

Build and scale Klar’s data platform, including data lakes, lakehouses, streaming and batch pipelines, and real-time ingestion. Design AWS-based infrastructure using Iceberg, S3, Glue, Redshift, Athena, and Kafka. Establish data quality, governance, monitoring, and reliability practices while partnering with engineering, analytics, and business teams on AI/ML, fraud detection, reporting, reconciliations, and regulatory use cases.

Own end-to-end customer experience initiatives, using data, AI, and automation to improve customer journeys and operational efficiency. Analyze KPIs and customer behavior, optimize scalable processes, manage knowledge content, investigate complex cases, and implement solutions with Product, Operations, and Data & AI teams. The role requires project ownership, process design, stakeholder coordination, intermediate SQL and Python, Excel, and advanced English proficiency.

Manage and develop multiple microservices and supporting libraries for Klar’s event-driven investment platform. Own the lifecycle of savings accounts, rewards campaigns, taxation, and related financial products. Build high-throughput, financial-grade systems using Java and Spring Boot, integrate with other microservices, and ensure correctness, auditability, reliability, observability, and continuous delivery through test-driven development.