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Build and ship reliable, scalable software features for Ledgy’s equity management and financial reporting platform. The role involves contributing across the stack, collaborating with engineers, product managers, and designers, owning well-scoped projects, participating in code reviews and architecture discussions, and translating complex equity workflows into maintainable user experiences. Engineers will work with data models, automation, reporting, tax workflows, integrations, and scalability while growing toward senior-level ownership.

Lead and coach a feature-team engineering group while remaining hands-on through code reviews, architecture decisions, and selective coding. Set technical and product direction, partner with Product and Design, develop engineers, and promote responsible AI-assisted engineering. Teams may focus on compensation plans, AI systems, or tax capabilities. The role requires strong attention to correctness, user impact, and complex financial domains.

Design and build scalable software systems for an equity management and financial reporting platform. Engineers collaborate with product managers and designers, develop robust full-stack features, work with complex financial data and compliance requirements, participate in architecture discussions and code reviews, and help shape technical direction. Responsibilities may span core equity logic, reporting, AI systems, or tax capabilities, with opportunities to mentor engineers and own key platform features.

Lead and coach a feature-team of engineers while remaining hands-on through code reviews, architecture discussions, and selective coding. Set technical and product direction, partner with Product and Design, and guide delivery of compensation, tax, savings, or AI platform features. Promote responsible AI-assisted engineering, develop team capabilities, improve product quality, and manage performance and career development.

Lead and coach a feature-team of engineers while remaining hands-on through code reviews, architecture discussions, and selective coding. Set technical and product direction, partner with Product and Design, and deliver compensation, savings, tax, or AI-powered product capabilities. Promote responsible AI-assisted engineering, support execution and team development, and ensure correctness in financially consequential domains.

Design and build scalable software systems for an equity management and financial reporting platform. Responsibilities include developing core equity, reporting, AI systems, or tax capabilities; contributing to architecture and data model decisions; implementing reliable workflows and integrations; collaborating with product managers, designers, and engineers; participating in code reviews; and mentoring other engineers.

Lead and coach a feature-team engineering group while remaining hands-on through code reviews, architecture discussions, and selective coding. Set technical and product direction, collaborate with Product and Design, and guide engineers building compensation, savings, tax, or AI capabilities. Promote responsible AI-assisted development, improve delivery and product quality, and support performance management and career development.

Design and build scalable software systems for an equity management and financial reporting platform. Collaborate with engineers, product managers, and designers to deliver robust features, data models, workflows, integrations, and user experiences. Depending on the team, work may involve equity transactions, financial reporting, AI systems, or tax capabilities. Participate in architecture discussions, code reviews, system design, and mentoring while maintaining tested, reliable solutions for critical business operations.

Design and build scalable software systems for an equity management and financial reporting platform. Collaborate with engineers, product managers, and designers to deliver reliable features across core equity, reporting, AI systems, and tax domains. Responsibilities include architecture, complex data transformations, workflow scalability, testing, code reviews, technical ownership, and mentoring engineers.

Lead and coach a feature-team of engineers while remaining hands-on through code reviews, architecture discussions, and selective coding. Set technical and product direction, partner with Product and Design, and guide development of compensation, savings, tax, or AI features. Establish delivery rhythms, improve complex domain areas, support career development, and promote responsible AI-assisted engineering practices.