Engineering Manager (Hands-on)

At Ledgy, we’re on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. In 2026, we aim to be the leading provider for European IPOs and reporting for share-based payments. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users.

We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board.

We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages.

About the Role

As a hands-on Engineering Manager of one of our feature teams at Ledgy, you'll lead the engineers who build the features that help companies offer, manage, and communicate compensation and savings vehicles: from equity plans to pensions, carry, and beyond. Your team works on the products employees and companies use to make sense of complex compensation structures, while you stay close enough to the work to help the team make strong technical and product decisions.

You’ll combine hands-on engineering leadership with thoughtful team development. The role is about staying close enough to the work to guide decisions, while creating the conditions for engineers to lead within their areas. AI-assisted engineering is a critical part of that leadership: you’ll help the team use AI tools deliberately, with strong judgment about when they accelerate delivery, improve quality, or require human oversight.

We hire remotely across the UK, Spain, Germany, Poland, and Romania. For candidates based in London, we use a hybrid model with 2 days in the office per week.

Teams we’re hiring for:

Share & Fund Plans — Expands the product beyond classic equity compensation into broader ownership and executive compensation. The team focuses on flexible share and fund plan support, including deferred compensation, carry, pensions, savings plans, SAYE, SIP, ESPP, and related vesting flows — helping Ledgy become the single source of truth for every customer’s compensation schemes.

AI Systems — Develops Ledgy’s AI foundations and product experiences, from AI agents and AI-assisted workflows to the platform capabilities that help other teams embed AI safely in their domains. The team works in a new and evolving product area, balancing rapid iteration with reliable execution, evaluation tooling, and responsible automation.

Tax — Ensures taxes are correctly reflected throughout equity operations, especially moments such as exercising, selling, mobility, and other taxable events. As a future team, Tax will build end-to-end product capabilities across the stack, helping customers manage complex tax and compliance requirements accurately across jurisdictions.

What You'll Do

Lead and coach a team of engineers, including regular 1:1s, feedback, and performance conversations

Set technical and product direction with your team, rather than defining every answer yourself

Stay involved in execution through code reviews, architecture discussions, and selective hands-on contributions

Partner with Product and Design to turn complex domain needs into clear, usable product experiences

Model responsible AI-assisted engineering practices and help the team apply them in day-to-day work

You'll Thrive in This Role If You

Have 2+ years in Engineering Management and 6+ years as a Software Engineer, with meaningful time in product-focused or domain-heavy roles

Enjoy developing people and creating an environment where engineers can do their best work

Prefer leadership roles where you can stay technically engaged rather than manage from a distance

Use AI tools in your own engineering work and think critically about their strengths, limitations, and responsible use

Are energised by features that have a direct, visible impact on end users

Care deeply about correctness in domains where getting things wrong has real financial consequences