Engineering Manager; Product Features

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager (Product Features) in EMEA.

We are seeking an Engineering Manager to lead a high-performing team focused on delivering innovative product features across a cloud-based platform. In this role, you will bridge the gap between technical execution and product vision, guiding your team to build scalable, high-quality solutions that directly impact users and business outcomes. You will collaborate with stakeholders, define priorities, and ensure engineering best practices are followed while fostering a culture of accountability, learning, and continuous improvement.

This position emphasizes the adoption of AI-assisted development workflows, observability, and data-driven decision-making to optimize performance and user experience. You will coach engineers to grow technically and strategically, driving both team and product excellence in a fully remote, distributed environment.

• Lead and manage a team of software engineers delivering AI-powered product features, ensuring high-quality code and adherence to the Definition of Done (DoD).
• Plan and execute technical design reviews, backlog prioritization, and Scrum rituals for rapid iteration and long-term scalability.
• Collaborate with stakeholders to translate complex product challenges into actionable engineering solutions, owning delivery from concept to deployment.
• Monitor service performance using observability tools, define SLOs, conduct root-cause analysis, and optimize infrastructure costs.
• Mentor engineers on technical skills, product thinking, and AI-assisted workflows to improve developer experience and team productivity.
• Foster continuous learning through code reviews, cross-training, and documentation to reduce knowledge silos and build resilience.
• Drive operational efficiency, enforce engineering standards, and implement process improvements to enhance product quality.

• University degree in Computer Science, Software Engineering, or a related field.
• 3-5 years of experience leading teams of 5+ engineers in remote, agile environments.
• 5-10 years of full-stack development experience with modern cloud-native applications.
• Strong proficiency in Type Script, JavaScript, Node.js, Kafka, React, and Graph
  
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• Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) to monitor performance and troubleshoot issues.
• Familiarity with AI-assisted development tools (e.g., Copilot, Claude Code) and improving developer workflows.
• Prior experience in SaaS product development and performance optimization.
• Excellent communication, organizational, and mentoring skills, with a focus on data-driven decision-making and delivering impactful outcomes.
• Preference for candidates based in EMEA with remote work flexibility.

• Competitive salary and stock options program.
• Fully remote work with flexible paid time off, national holidays, personal days, and sick leave.
• $300 annual learning stipend for personal and professional development.
• Opportunity to work with a globally distributed, inclusive, and purpose-driven team.
• Culture of continuous learning, mentorship, and innovation with AI-powered workflows.
• Access to cutting-edge technology, observability tools, and cloud-based infrastructure for hands-on experimentation.
• Participation in company retreats and team-building events.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.