Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role

As a hands-on Engineering Manager of our agent and developer platform at Ledgy, you'll lead the team that makes everything else possible, the infrastructure, CI/CD pipelines, developer and agent tooling, security posture, and platform capabilities that thousands of employees worldwide depend on to experience equity ownership. You'll lead a team of 4–6 engineers building the foundation for Ledgy's next chapter: a platform where AI agents operate as first-class citizens alongside human engineers.

This is a good fit if you see DevOps, CI/CD, and platform engineering not as plumbing, but as one of highest-leverage investment a company can make - especially as AI agents become core contributors to how software is built and delivered. You'll also partner closely with our CISO to shape Ledgy's security strategy, particularly as AI transforms the threat landscape and our enterprise customers demand rigorous security practices. You'll report directly to the Head of Engineering and play a key role in scaling our platform and our engineering culture.

You'll Thrive in This Role If You

• Have a strong vision for what modern platform engineering looks like when AI agents are writing, testing, and deploying code alongside humans
• Bring deep experience in CI/CD, DevOps, and infrastructure - and opinions about how to make pipelines fast, reliable, and agent-friendly
• Are excited about building systems that scale: observability, deployment automation, developer experience, and infrastructure-as-code
• Have a security-minded approach to platform engineering - you understand that when AI agents have access to production systems and sensitive financial data, the security model needs to evolve, and you're eager to help define what that looks like
• Love developing people, watching engineers grow and tackle increasingly sophisticated challenges
• Want to remain hands-on - you're comfortable building with Terraform, debugging pipelines, and shipping improvements yourself, and you actively use AI tools to multiply your output
• Have 3+ years experience in Engineering Management and 6+ years as a Software Engineer, with meaningful time spent in platform, infrastructure, or DevOps roles

What You'll Own

• Team Leadership: Leading a team of platform engineers, setting technical direction, and creating an environment where people do the best work of their careers.
• CI/CD & Developer Experience: Our build and deployment pipelines - making them fast, reliable, and optimised for both human and AI-agent workflows. Think: how do we make it seamless for an agent to open a PR, get it reviewed, and ship it?
• Infrastructure & Observability: Our GCP infrastructure, Terraform configuration, monitoring, and alerting. You'll set SLOs and make sure we can see what's happening in production - including what agents are doing.
• Security Partnership: Working alongside our CISO to define and execute Ledgy's security strategy. This means helping prioritise what matters most for a regulated fintech serving enterprise clients - from supply chain security and access controls to the new challenges introduced by AI agents operating in production systems. You'll be the engineering leader who turns security strategy into implemented reality.
• AI Infrastructure & Agent Platform: Building the foundations that let both humans and AI agents operate effectively in Ledgy's systems. This includes an MCP interface that exposes our platform to AI tools, agent identity and access models (distinguishing human from agent actions in audit logs and permissions), dry-run and sandbox environments for safe experimentation.

Our tech stack:

We have a modern, cohesive stack that lets us move fast while maintaining quality:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions

What Your Journey Could Look Like

First 30 Days

• Build meaningful relationships with your direct reports and understand their career aspirations
• Get hands-on with our CI/CD pipelines, infrastructure, and deployment processes - identify the biggest friction points
• Understand how AI agents are already being used in our engineering workflows (Cursor, Claude Code, automated PRs) and where the gaps are
• Join the engineering leadership team and understand how we translate product vision into technical reality
• Meet with our CISO and understand Ledgy's current security posture, compliance requirements, and where the biggest gaps are

First 3 Months

• Own and drive improvements to pipeline reliability and speed - set measurable SLOs for build times, deployment frequency, and failure rates
• Define and begin executing a roadmap for making our platform agent-ready: what needs to change so that AI agents can contribute code safely and at scale?
• Have regular 1:1s with your reports and support them in their growth
• Shape platform strategy alongside the Head of Engineering and CTO
• Partner with the CISO to define a security roadmap that accounts for AI-specific risks - agent access controls, code provenance, data exposure through AI tooling - and begin executing on the highest-priority items

6–12 Months

• Be recognised as the technical leader who defines how Ledgy's platform scales - for both humans and agents
• Have delivered measurable improvements to developer experience, deployment velocity, and infrastructure reliability
• Lead meaningful career development conversations and conduct performance reviews
• Own engineering initiatives that influence how the entire organisation ships software
• Be a trusted partner to product and engineering leadership on technical direction

The Interview Process

1. Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
2. Live Coding (60 min): A problem-solving session using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore CI/CD, infrastructure, and scaling aspects based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
6. Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.

About the Role

As a hands-on Engineering Manager of our agent and developer platform at Ledgy, you'll lead the team that makes everything else possible, the infrastructure, CI/CD pipelines, developer and agent tooling, security posture, and platform capabilities that thousands of employees worldwide depend on to experience equity ownership. You'll lead a team of 4–6 engineers building the foundation for Ledgy's next chapter: a platform where AI agents operate as first-class citizens alongside human engineers.

This is a good fit if you see DevOps, CI/CD, and platform engineering not as plumbing, but as one of highest-leverage investment a company can make - especially as AI agents become core contributors to how software is built and delivered. You'll also partner closely with our CISO to shape Ledgy's security strategy, particularly as AI transforms the threat landscape and our enterprise customers demand rigorous security practices. You'll report directly to the Head of Engineering and play a key role in scaling our platform and our engineering culture.

You'll Thrive in This Role If You

• Have a strong vision for what modern platform engineering looks like when AI agents are writing, testing, and deploying code alongside humans
• Bring deep experience in CI/CD, DevOps, and infrastructure - and opinions about how to make pipelines fast, reliable, and agent-friendly
• Are excited about building systems that scale: observability, deployment automation, developer experience, and infrastructure-as-code
• Have a security-minded approach to platform engineering - you understand that when AI agents have access to production systems and sensitive financial data, the security model needs to evolve, and you're eager to help define what that looks like
• Love developing people, watching engineers grow and tackle increasingly sophisticated challenges
• Want to remain hands-on - you're comfortable building with Terraform, debugging pipelines, and shipping improvements yourself, and you actively use AI tools to multiply your output
• Have 3+ years experience in Engineering Management and 6+ years as a Software Engineer, with meaningful time spent in platform, infrastructure, or DevOps roles

What You'll Own

• Team Leadership: Leading a team of platform engineers, setting technical direction, and creating an environment where people do the best work of their careers.
• CI/CD & Developer Experience: Our build and deployment pipelines - making them fast, reliable, and optimised for both human and AI-agent workflows. Think: how do we make it seamless for an agent to open a PR, get it reviewed, and ship it?
• Infrastructure & Observability: Our GCP infrastructure, Terraform configuration, monitoring, and alerting. You'll set SLOs and make sure we can see what's happening in production - including what agents are doing.
• Security Partnership: Working alongside our CISO to define and execute Ledgy's security strategy. This means helping prioritise what matters most for a regulated fintech serving enterprise clients - from supply chain security and access controls to the new challenges introduced by AI agents operating in production systems. You'll be the engineering leader who turns security strategy into implemented reality.
• AI Infrastructure & Agent Platform: Building the foundations that let both humans and AI agents operate effectively in Ledgy's systems. This includes an MCP interface that exposes our platform to AI tools, agent identity and access models (distinguishing human from agent actions in audit logs and permissions), dry-run and sandbox environments for safe experimentation.

Our tech stack:

We have a modern, cohesive stack that lets us move fast while maintaining quality:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions

What Your Journey Could Look Like

First 30 Days

• Build meaningful relationships with your direct reports and understand their career aspirations
• Get hands-on with our CI/CD pipelines, infrastructure, and deployment processes - identify the biggest friction points
• Understand how AI agents are already being used in our engineering workflows (Cursor, Claude Code, automated PRs) and where the gaps are
• Join the engineering leadership team and understand how we translate product vision into technical reality
• Meet with our CISO and understand Ledgy's current security posture, compliance requirements, and where the biggest gaps are

First 3 Months

• Own and drive improvements to pipeline reliability and speed - set measurable SLOs for build times, deployment frequency, and failure rates
• Define and begin executing a roadmap for making our platform agent-ready: what needs to change so that AI agents can contribute code safely and at scale?
• Have regular 1:1s with your reports and support them in their growth
• Shape platform strategy alongside the Head of Engineering and CTO
• Partner with the CISO to define a security roadmap that accounts for AI-specific risks - agent access controls, code provenance, data exposure through AI tooling - and begin executing on the highest-priority items

6–12 Months

• Be recognised as the technical leader who defines how Ledgy's platform scales - for both humans and agents
• Have delivered measurable improvements to developer experience, deployment velocity, and infrastructure reliability
• Lead meaningful career development conversations and conduct performance reviews
• Own engineering initiatives that influence how the entire organisation ships software
• Be a trusted partner to product and engineering leadership on technical direction

The Interview Process

1. Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
2. Live Coding (60 min): A problem-solving session using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore CI/CD, infrastructure, and scaling aspects based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
6. Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.