
51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
Finance • Fintech • SaaS
Ledgy is a modern equity management platform designed to streamline equity workflows for private and public companies. It provides comprehensive solutions such as cap table management, equity plan automation, employee engagement, financial reporting, and compliance. Ledgy's platform gives users the ability to automate manual processes, manage data efficiently, and stay audit-ready across jurisdictions. It is highly focused on providing real-time insights and access, ensuring that employee and stakeholder communications are clear and effective. Ledgy is committed to offering robust security and compliance measures, making it a reliable choice for international teams looking to manage equity seamlessly and accurately.
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51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
Finance • Fintech • SaaS
Ledgy is a modern equity management platform designed to streamline equity workflows for private and public companies. It provides comprehensive solutions such as cap table management, equity plan automation, employee engagement, financial reporting, and compliance. Ledgy's platform gives users the ability to automate manual processes, manage data efficiently, and stay audit-ready across jurisdictions. It is highly focused on providing real-time insights and access, ensuring that employee and stakeholder communications are clear and effective. Ledgy is committed to offering robust security and compliance measures, making it a reliable choice for international teams looking to manage equity seamlessly and accurately.
• Lead a team of 4–6 platform engineers and set technical direction • Build and improve CI/CD and deployment pipelines for human and AI-agent workflows • Own GCP infrastructure, Terraform configuration, monitoring, alerting, and SLOs • Partner with the CISO to define and execute Ledgy's security strategy • Build AI infrastructure and agent platform capabilities, including MCP interfaces, agent identity and access models, audit logging, dry-run, and sandbox environments • Develop direct reports and support career growth through 1:1s and performance reviews • Shape platform strategy with the Head of Engineering and CTO • Define and execute an agent-ready platform roadmap • Drive improvements to pipeline reliability, deployment velocity, developer experience, and infrastructure reliability • Lead engineering initiatives influencing how the organisation ships software
• Strong vision for modern platform engineering with AI agents writing, testing, and deploying code alongside humans • Deep experience in CI/CD, DevOps, and infrastructure • Experience with observability, deployment automation, developer experience, and infrastructure-as-code • Security-minded approach to platform engineering, including AI-agent access to production systems and sensitive financial data • Experience developing engineers and supporting their growth • Comfortable remaining hands-on with Terraform, debugging pipelines, and shipping improvements • Actively use AI tools to multiply output • 3+ years of experience in Engineering Management • 6+ years of experience as a Software Engineer • Meaningful experience in platform, infrastructure, or DevOps roles • Preferred language/IDE for the live coding interview
• Flexible working hours • 25 days of vacation • Up to 40 days of remote work from outside your home country • Generous yearly learning & development budget • Competitive salary + benefits + equity • Hybrid work model of 2 days in the office per week for candidates based in London or Zurich
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