Senior Engineering Manager, Shine

• 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
• 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

Desirable

• 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
• 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
• 0-3 Months
• 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

• We usually respond within three days
• Screening call with Talent Acquisition (45 mins): An initial conversation covering your background, motivations, expectations, and an overview of the role
• Hiring Manager Interview (60 mins): A deep dive into your leadership journey, people management approach, and delivery execution
• Technical Interview (60 mins): A technical discussion focusing on your technical depth, engineering standards, and architectural experience
• Architecture & Delivery Case (75 mins): A practical case study session evaluating system design, delivery management, and handling ambiguity in trade-off decisions
• Meet the Trio (30 mins): A strategic alignment conversation with key leadership partners focusing on cross-functional collaboration
• Personality Assessment Feedback (30 mins): A collaborative review of your workplace personality questionnaire to discuss communication preferences and working styles
• Meet the Team (30 mins): An informal session with your future team members and peers to explore team cohesion, daily collaboration, and culture fit
• Contact: Elvira Barsehian