Senior Engineering Manager - Advisor Audit (m/f/d)
As an Engineering Manager, you’ll help to elevate your team's technical standards by championing sustainable development, prioritising operational excellence, and fostering a quality-first mindset. You’ll strike a balance between ambitious technical goals and pragmatic delivery, ensuring that reliability, security, and long-term scalability are integral, not secondary. The Engineering Manager shall ensure that the team's purpose and accountability are tightly integrated with the organisation's strategic objectives, creating an environment where engineers can dedicate their focus to high-value work, consistently shipping value early and often. Whether engaging with the team, collaborating across the organisation, or in broader professional interactions, you’ll focus on building mutual understanding, aligning individuals around a shared purpose, establishing trust, and enabling action with empathy. In joining a newly formed team, you’ll be joining a dynamic environment in which ambiguity is not a hurdle, but an opportunity. You’ll have the confidence to navigate evolving priorities and shifting landscapes with a forward-looking perspective, and convert uncertainty into focused action, leveraging the energy of change to drive innovation. Your responsibilities will include:
- Delivery: Own outcomes and help the team deliver what matters.
- People: Build and grow a strong, motivated team.
- Technical Leadership: Guide technical decisions and be accountable for the implementation: you own technical outcomes, without centralising every technical decision personally.
- Architecture & DevOps: Bring strong technical judgement on testing, observability, incident response readiness, and security/privacy/data compliance ownership and embrace “you build it, you run it.”
- Agile: Help the team find the ways of working that work best for them.
- Collaboration: Work closely with Product, Design, EMs and the Domain Engineer.
- Customer Focus: Keep customer needs at the heart of decisions.
- AI: Use AI in practical ways to improve how we build software.
- Form the team and build relationships.
- Define the mission, vision and roadmap with the trio.
- Set up the team for successful delivery.
- Establish the team's ways of working.
- Start AI adoption within the team. 3-6 Months
- Deliver the first building blocks of the global accounting kernel.
- Establish a sustainable delivery rhythm.
- Move towards AI-native engineering practices. 6-12 months
- Continue delivering and evolving the accounting kernel to 9+ europeen countries.
- Build a strong, high-performing team.
- Further embed AI-native engineering practices. Senior EM focus only:
- Support other teams and domains.
- Contribute to the wider engineering organisation.
- Help set up or accelerate AI adoption across R&D.
About you
You're an experienced Engineering Manager who combines strong delivery, people leadership and technical capability. You're comfortable with ambiguity, change and making decisions without having all the answers. Must-Have Experience:
- 2+ years Engineering Management experience, ideally with experience in a second EM role.
- Strong technical background and ability to challenge technical decisions.
- Full SDLC and DevOps experience: testing, observability, incident response readiness, and security/privacy/data compliance ownership - "you build it, you run it."
- Strong and production-proven opinions on architecture, design, testing and cloud (AWS preferred).
- Strong Delivery Management experience: you own the roadmap, steer timeline conversations on metrics, drive forecasting, balance feature work against technical improvements, operations and maintenance.
- Strong People Leadership experience: run structured 1:1s, manage the career development, have direct performance conversations, establish an inclusive environment with high psychological safety.
- Comfortable with ambiguity and change.
- Strong Agile mindset, with experience in Kanban or similar.
- Customer-focused and able to connect technical work to customer problems.
- Active engagement with AI beyond experimentation - you have proven experience in using AI inside of software engineering/R&D. Youcan critically evaluate their impact
- Discovery experience working with Product and Design.
- Specific programming language experience such as TypeScript, React or Node.js is not mandatory. Nice to Have
- TDD and/or BDD experience.
- Accounting or FinTech background.
We offer
Job located in Berlin, Copenhagen, Your First 6–12 Months 0-3 Months