Senior Manager of Software Engineering - ML / Agentic Treasury

What you'll do

• Directs, coaches, and oversees software engineers and influences team resources, budgets, and operations.
• Sets practices and measurable expectations for AI-assisted engineering and SDLC/TLM automation across teams, emphasizing validation, security, resiliency, and reuse.
• Coordinates delivery across teams, mitigates issues, and advises leadership on budget, technical approach, and operational efficiency.

What they ask for

• Formal training or certification in software engineering concepts, plus 5+ years of applied experience and 2+ years leading technologists.
• Hands-on system design, application development, testing, operational stability, and SDLC experience.
• Experience developing, debugging, and maintaining code in Java, Python, and SQL; experience with PostgreSQL and AWS.
• Experience using enterprise-authorized AI-assisted software development tools, evaluating outputs, and applying responsible AI practices; understanding of agile methods, CI/CD, application resiliency, and security.

Nice to have

• Knowledge of Databricks.
• Knowledge of ML frameworks including Scikit-Learn, PyTorch, and Pandas.

Pay

USD 175,750.00-$260,000.00 base salary

Tools

Java, Python, SQL, PostgreSQL, AWS, Databricks, Scikit-Learn, PyTorch

AI focus

Leads enterprise-authorized AI-assisted engineering and SDLC/TLM automation; uses AI-assisted development tools for coding, test creation, troubleshooting, or documentation, and guides safe use and validation of AI-generated outputs.