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The Sales Director will drive revenue growth, manage client relationships, and lead complex sales processes for Siepe's SaaS and services platform.

As a Senior Software Engineer, you will architect the UI for the Order Management System using Angular, define system behaviors, and ensure high-quality performance for financial applications.

The Senior Software Engineer will modernize a SaaS platform for compliance workflows, focusing on AI-assisted development, .NET APIs, and testing rigor.

The role involves managing Linux and Windows OS in AWS and Azure, troubleshooting networking issues, and automating infrastructure with Infrastructure as Code tools.

As a Senior Software Engineer, you'll design and validate Angular components for CLO compliance, orchestrate AI for code execution, and ensure high performance and maintainability in enterprise web applications.

The Lead Project Manager oversees client projects from onboarding to delivery, ensuring alignment with client goals and Siepe's standards, collaborating with various teams, and managing communication and documentation.

The Client Solutions Lead translates client requirements into solutions, manages reporting needs, and coordinates with teams to ensure client satisfaction and retention.

Lead and grow a Professional Services engineering team delivering custom data-centric solutions. Own end-to-end technical delivery, estimation, testing, performance tuning, and client-facing reporting. Standardize safe, repeatable AI workflows and ensure data quality, validation, and operational safety across projects.

Lead technical delivery of integrations between Solvas, Middle Office systems, and the client Portal. Design, build, and operate ETL/ELT pipelines, ensure data consistency, quality, reconciliation, and performance tuning of SQL Server objects. Mentor engineers, establish monitoring/runbooks/incident response, partner with product and operations, and evaluate modern data platforms (Databricks, Snowflake) and AI tools to improve scalability and delivery.

Lead and scale FP&A: build forecasting and budgeting frameworks, develop financial and long-range models, analyze revenue, margins, and SaaS metrics, support CFO and board reporting, automate reporting and dashboards, and partner cross-functionally to drive data-driven decisions.