About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, AI Product Development based in Austria.
Responsibilities
- Lead and mentor a team of senior software engineers, fostering ownership, accountability, collaboration, technical excellence, and continuous improvement.
- Partner with Product, Design, Operations, and other stakeholders to translate business requirements into scalable technical solutions and high-impact product outcomes.
- Influence product direction by challenging assumptions, advocating for user-focused decisions, and helping teams prioritize meaningful outcomes.
- Design, review, and evolve scalable architectures while breaking complex initiatives into actionable technical plans.
- Drive the adoption of AI-assisted and agentic development workflows to improve engineering productivity, code quality, testing, and delivery.
- Guide development of modern full-stack applications using technologies such as TypeScript, React, Next.js, shadcn/ui, Supabase/Postgres, APIs, and cloud services.
- Provide technical leadership across frontend, backend, data, distributed systems, and AI-enabled capabilities.
- Lead code reviews, architecture reviews, and technical design discussions while maintaining strong engineering standards.
- Improve CI/CD, testing, observability, reliability, security, and operational practices across the engineering organization.
- Monitor engineering metrics and delivery indicators to identify risks, improve predictability, and support data-driven decision-making.
- Lead modernization initiatives, technical debt reduction, automation, and broader platform evolution efforts.
- Remain hands-on when needed, contributing to architecture, implementation, debugging, technical investigations, and proof-of-concept development.
- Promote effective asynchronous communication and collaboration across globally distributed teams.
Requirements
- 8+ years of professional software engineering experience building and supporting production systems.
- Previous experience leading engineering teams, mentoring developers, and taking accountability for technical delivery.
- Hands-on experience integrating AI capabilities such as LLMs, AI agents, RAG systems, or AI-powered workflows into products or engineering processes.
- Strong experience with modern web development using TypeScript, React, and Next.js.
- Proven ability to design scalable APIs, distributed systems, and cloud-native applications.
- Strong knowledge of relational databases, particularly PostgreSQL or MySQL.
- Experience with CI/CD automation, testing strategies, monitoring, observability, and production operations.
- Demonstrated ability to balance technical leadership with hands-on execution and delivery accountability.
- Experience modernizing systems and improving engineering effectiveness through automation, tooling, and process improvements.
- Strong architectural judgment and the ability to evaluate trade-offs involving scalability, maintainability, cost, reliability, and delivery speed.
- Strong communication and stakeholder-management skills, with the ability to collaborate effectively across product and technical functions.
- Comfort working in a fast-paced, remote-first environment with globally distributed teams.
- A coaching-oriented leadership style and commitment to developing engineers and creating a high-performing technical culture.
Conditions
- Fully remote opportunity with the flexibility to work from anywhere.
- Competitive salary aligned with your experience and unique skill set.
- Career advancement and professional development opportunities.
- Flexible working arrangements designed to support work-life balance.
- Opportunity to work on modern AI-enabled products and engineering workflows.
- Exposure to full-stack development, cloud-native systems, distributed architectures, and emerging AI technologies.
- Collaborative environment with globally distributed teams.
- Meaningful opportunities to influence engineering practices, architecture, and product direction.
- Inclusive and respectful workplace culture focused on trust, diversity, and individual achievement.