Job Description

We are seeking an experienced Engineering Manager to own engineering execution across multiple product teams contributing to a shared platform. You will drive engineering excellence, foster a culture of collaboration, and guide your teams in building cutting-edge solutions. A critical dimension of this role is enabling your teams to work in an AI-native way - establishing processes, tooling, and training so that engineers increasingly leverage AI coding agents (Claude Code, Codex, etc) as their primary development instruments. You must understand AI-augmented engineering deeply enough to set your teams up for success. This is not a pure people-management role - we need someone who can get their hands dirty with architecture decisions, debug production issues, and jump into code when the situation demands it.

Key Responsibilities and Duties:

• Multi-team leadership: Own engineering execution across several product teams contributing to a shared platform. Align priorities, resolve cross-team dependencies, and ensure consistent engineering standards

• AI-native engineering adoption: Improve and roll out processes for specification-driven, agent-augmented development workflows. Amend standards for context engineering and AI-assisted code review. Track adoption metrics and identify where additional support is needed

• Tooling and enablement: Evaluate, select, and provision AI coding tools for the teams. Manage tool budgets, token usage, and ensure engineers have the best available AI development environments

• Training and upskilling: Design and run training programs that help engineers transition from traditional to AI-augmented development methods

• Integration architecture: Contribute to system boundary definitions, API contracts, and integration architecture across platform components. Ensure teams build cohesive, interoperable services

• Hiring and team building: Drive the engineer hiring process in alignment with budget. Manage onboarding and performance evaluation of both internal and outsourced engineers

• Capacity planning: Own engineering capacity planning - forecast resource needs, adjust team composition to product priorities, and balance workload across teams

• Establish and enforce development best practices, including quality gates for AI-generated code (verification, testing, review standards)

• Monitor engineering KPIs - including AI adoption and delivery velocity metrics - optimize processes, and drive improvements in product quality and team efficiency

Requirements

• Experience: 7+ years of software development experience, with 3+ years leading cross-functional teams of 6+ members. Experience managing multiple teams or products simultaneously

• Leadership: Proven track record of managing and mentoring engineering teams, driving hiring, onboarding, and performance management for both in-house and outsourced engineers

• AI-Augmented Engineering Awareness: Understanding of how AI coding agents change engineering workflows. You don’t need to be a daily power-user, but must understand specification-driven development, context engineering, and agent-assisted delivery well enough to set standards, evaluate output, and coach your teams

• Technical depth: Strong hands-on background in Python, Django, TypeScript, React, PostgreSQL. Able to contribute to architecture decisions, review technical designs, and step into code when needed

• Architecture & Process: Proficient in system design, integration architecture, and API boundary definition. Solid experience with Agile frameworks, CI/CD pipelines, and DevOps practices

• Capacity and resource planning: Experience with engineering capacity planning, budget-aligned hiring, and adjusting team composition to evolving product needs

• Communication: Fluent in English. Able to act as liaison between engineering, product, design, and other departments. Strong written and verbal communication skills

Benefits

We believe great work starts with feeling valued and supported. That’s why we are building an thoughtful, competitive benefits and perks to help you thrive — professionally and personally — through every step of your Career with us. You will be eligible for:

• Salary from 5,000 EUR to 8,500 EUR per month (before Taxes)
• A Birthday Gift

After Probationary Period

• Health Insurance
• Health Recovery Days (which can be taken as you need)
• Paid Study Leave
• Funding for the purchase of Vision Glasses after one (1) year of service

Join us in Building a Cleaner, Smarter Future — one quality process improvement at a time.