Engineering Manager
We are looking for a talented Engineering Manager to join a dynamic German startup (heavily AI-driven). This is NOT a traditional engineering manager role. We don't want process-heavy management, micromanagement, or someone who needs to review code. We want a servant leader who creates the environment for senior engineers to thrive!
The Role
You'll manage 9+ senior engineers organized in 3 semi-autonomous pods. Your job is to enable, not control - remove blockers, foster ownership, scale the team, and free up the CTO to focus on strategy and sales.
How We're Different
AI-first development:
- Engineers code primarily with Claude Code (agentic AI coding)
- We believe AI amplifies engineering capability, not replaces it
- You don't need to use AI tools yourself, but you must understand they're core to how we work
- Old-school "AI is a crutch" mindset won't work here
Product-driven engineers:
- CTO defines WHAT to build (which clients, which integrations, business priorities)
- Engineers define HOW (technical approach, architecture, implementation, create their own tickets)
- Engineers own outcomes, not just tasks
- You facilitate, you don't dictate
Startup:
- small team people, fast-growing, things aren't set in stone
- We try things, learn, iterate quickly
- A lot of interviews!
- Light process, high trust, high autonomy
- If you need structure and predictability, this isn't for you
Autonomous pods:
- 3 pods: Core Platform, Content/Integrations, B2B Client Integrations
- Pods self-organize their daily work
- You coordinate across pods, you don't manage within them
What You Actually Do
People management (40%):
- 1-on-1s with 9 engineers (bi-weekly or weekly)
- Performance coaching, career development, growth paths
- Build and maintain team culture (autonomy, ownership, collaboration)
- Live and breath our core values: ownership, transparency, simplicity
- Handle interpersonal conflicts and team dynamics
- Manage Staff Engineer/Tech Lead who's brilliant technically but occasionally difficult interpersonally
- Create psychological safety and high-performance environment
Hiring & scaling (30%):
- Scale team from 9 to 16 engineers over next 6-12 months
- Run hiring process (sourcing, interviews, offers)
- Hire senior product-minded engineers who thrive with autonomy
- Screen for AI-first mindset and ability to work with agentic coding tools
- Build diverse, high-performing team
Coordination & delivery (20%):
- Attend 2-3 pod dailies to understand what's being built and spot blockers
- Translate CTO's high-level priorities into business context engineers need
- Weekly cross-pod sync to surface dependencies and conflicts
- Track delivery without micromanaging
- Remove blockers (vendor credentials, unclear requirements, cross-pod conflicts)
- Weekly status to CTO: what's shipping, what's blocked, what needs decisions
Culture & process (10%):
- Foster autonomy and product-mindset in engineers
- Keep process lightweight - add only what serves the team
- Protect team from unnecessary meetings and bureaucracy
- Scale culture as team grows (autonomy + ownership + AI-first)
- Challenge and improve what's not working
You ARE Responsible For:
- Team health, performance, and growth of 9+ engineers
- Hiring and scaling to 16 engineers
- Daily coordination and cross-pod alignment
- Delivery tracking (projects ship on time with quality)
- Removing blockers and enabling autonomy
- Translating CTO's priorities into context engineers understand
- Maintaining high-trust, low-process culture as team scales
- Making operational decisions (who works on what, pod structure, etc.)
- Weekly reporting to CTO
You Are NOT Responsible For:
- Code reviews or technical decisions (Staff Engineer + engineers own this)
- Deciding WHAT to build (CTO owns product strategy and priorities)
- Technical architecture (Staff Engineer + engineers decide)
- Writing specs or creating tickets (engineers do this)
- Implementing heavy process or ceremonies
- Sales or client relationship ownership (CTO owns this, you support)
You're a Great Fit If:
Must-haves:
- 5+ years managing engineering teams (10-20+ engineers, senior teams preferred)
- CRITICAL: Servant leader mindset - You enable and remove blockers, you don't control or micromanage
- CRITICAL: Startup experience - You've worked in fast-moving, chaotic environments where things change quickly
- CRITICAL: Product-driven culture experience - You've managed engineers who own outcomes and make decisions, not just execute tasks
- Comfortable with AI-augmented development - You understand AI coding tools are the future, even if you don't code yourself
- High autonomy environment - You've fostered independence and ownership instead of creating dependency
- Scaling experience - You've grown teams from 10 to 30+ while maintaining culture
- Technical credibility - You don't code anymore, but you understand engineering well enough to have credibility with senior engineers
- Comfortable with brilliant but difficult people - You can manage a technically strong but interpersonally rough tech lead
- Low-process advocate - You add process only when it serves the team, not because "that's how it’s done”
Nice-to-haves:
- B2B SaaS or integration/API product experience
- Travel/tourism industry knowledge
- Experience with distributed/remote teams
- Hired and managed engineers from multiple countries/cultures
Red Flags - You Won't Work Here If:
- You want to review code or make technical decisions (that's not your job)
- You believe in heavy process (Scrum ceremonies, status reports, strict planning)
- You think AI coding tools make engineers lazy or produce bad code
- You need predictability and structure (startup chaos will frustrate you)
- You want to shield engineers from clients/stakeholders (we want direct communication)
- You micromanage or need to know every detail of what engineers are doing
- You came from big tech and expect corporate structure/resources/process
- You're uncomfortable giving engineers autonomy to make decisions
- You need engineers to ask permission before acting
- You're uncomfortable with ambiguity and making decisions with incomplete information
Required languages
| English | C1 - Advanced |