Director of Engineering

Accountabilities

• Lead, scale, and develop multiple engineering teams across the Core Experience and AI product domains, including direct management of Engineering Managers.


• Define and evolve the organizational structure to support scale, clarity, and high ownership across a growing multi-team engineering area.


• Set technical direction and architectural strategy, ensuring teams make sound, scalable, and maintainable technical decisions.


• Partner closely with Product, Design, and cross-functional leaders to translate company strategy into clear technical priorities and execution plans.


• Drive delivery excellence by ensuring teams ship high-quality, impactful user-facing products at speed while maintaining long-term technical health.


• Guide and support the development of AI-native product capabilities, including the use of LLMs and AI systems in customer-facing features.


• Establish strong engineering practices, frameworks, and operating models that improve execution, alignment, and accountability across teams.


• Coach and mentor engineering leaders, fostering a high-performance culture centered on ownership, collaboration, and continuous improvement.


• Represent the Core Experience engineering organization within broader leadership discussions and contribute to overall product and technical strategy.


• Ensure engineering efforts are consistently aligned with business outcomes, user value, and long-term platform scalability.

Requirements

• Several years of experience leading multiple engineering teams and managing Engineering Managers in a high-growth or scale-up environment.


• Proven ability to define technical strategy across broad product areas and translate it into actionable execution plans and measurable outcomes.


• Strong technical background with the ability to actively contribute to architecture discussions and engineering decision-making.


• Extensive experience in product engineering, delivering user-facing features in fast-paced SaaS or platform environments.


• Demonstrated success in coaching and developing engineering leaders and building high-performing, accountable teams.


• Hands-on experience with AI-native products or AI-powered systems, including exposure to LLM-based applications and product integration.


• Strong understanding of distributed team leadership, with experience managing remote or geographically dispersed engineering organizations.


• Ability to balance execution speed, product quality, and long-term maintainability in complex engineering environments.


• Experience working in high-growth, scaling companies and navigating organizational complexity during periods of rapid expansion.


• Strong product sense and ability to collaborate effectively with Product and Design to make high-impact trade-offs.


• Nice-to-have: experience with developer tools, workflow automation, or open-source ecosystems.


• Nice-to-have: familiarity with TypeScript, Node.js, or modern JavaScript ecosystems.

Benefits

• Competitive compensation with equity participation, enabling ownership in the company’s success.


• Generous vacation policy (30 days in Europe, plus public holidays) and strong emphasis on work-life balance.


• Remote-first working model across Europe with flexibility and autonomy in how and where you work.


• Comprehensive health, wellness, and retirement benefits aligned with local country standards.


• Annual learning and development budget to support courses, coaching, events, and professional growth.


• Unlimited AI tooling budget to support productivity, experimentation, and innovation.


• Financial security benefits including insurance coverage and pension or retirement contributions depending on location.


• Open and transparent company culture with strong emphasis on knowledge sharing and alignment.


• Regular hackathons, team events, and international off-sites fostering collaboration and innovation.


• Monthly contribution to open-source projects to encourage community engagement and ecosystem support.

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