Senior Software Engineer

Overview

Own AlphaSense's Excel plugin strategy, building an Excel add-in that brings AI-driven market intelligence into the workflow of financial professionals.

What you'll do

• Architect and build a production-grade Excel plugin that integrates AlphaSense's AI capabilities while respecting Excel's performance and stability requirements.
• Navigate Excel's object model, calculation engine, and event system to create features that feel native while accessing cloud-based intelligence.
• Build plugins that work across Excel 2016, 2019, and Office 365, handling corporate proxies, SSO, offline scenarios, and IT restrictions.
• Optimize operations so they feel instantaneous, managing memory carefully and ensuring the plugin never slows down Excel.
• Translate between financial users' needs and technical possibilities, creating intuitive interfaces for sophisticated AI capabilities.
• Establish desktop development best practices and mentor the team on testing, deployment, and monitoring strategies for Office plugins.

What you'll need

• 5+ years building production software, with significant experience in desktop applications or Office add-ins.
• Deep expertise in C#, .NET and modern development practices.
• Strong understanding of asynchronous programming, state management, and event-driven architectures.
• Experience with enterprise software deployment, updates, and version management.
• Track record of building performant applications with excellent error handling and recovery.
• Excellence in debugging complex integration issues and memory/performance optimization.
• Strong testing philosophy adapted to desktop environments.
• Ability to mentor teams and establish development best practices.

Nice to have

• Production experience with C#, VSTO, or COM add-ins.
• Knowledge of Excel's calculation engine, object model, and common power-user patterns.
• Knowledge of AWS.
• Understanding of financial modeling, data analysis workflows, or trading systems.
• Experience with web development technologies.
• Familiarity with financial data formats (XLSX, CSV, JSON) and transformations.
• Background in building offline-capable applications with sync mechanisms.
• Experience with WebSocket, real-time data feeds, or streaming architectures.

Details

• Location: Remote - Canada.
• Compensation range: $132,000 to $181,700 CAD.