Head of Engineering

StackFuel

Head of Engineering leading technical teams for StackFuel's AI-focused product vision. Responsible for platform development and cross-functional collaboration with stakeholders in Germany and the UK.

Posted 7/28/2026full-timeBerlin • 🇩🇪 GermanyLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software development and technical leadership, with a focus on building scalable SaaS/platform architectures and implementing AI engineering strategies. Proven ability to drive team performance and stakeholder engagement in both German and English.

Highest-signal resume keywords

AI Engineering StrategySaaS/Platform ArchitectureTeam LeadershipGDPR ComplianceStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI IntegrationSystem IntegrationCI/CDCloud ArchitectureAPIsMonitoringDelivery and OutcomesTechnical ImplementationArchitecture Decisions

Soft Skills

CommunicationStakeholder ManagementLeadership Style

Industry Keywords

GDPRAZAVEdTechStartup EnvironmentScale-Up Environment

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

As Head of Engineering, you will be jointly responsible with our Managing Director for the technical implementation of StackFuel’s product vision.
Translate the product vision into a technical platform and integration roadmap, including architecture decisions.
Establish a strong delivery and outcome-driven culture.
Develop and implement an AI engineering strategy.
Actively drive internal AI adoption within Engineering.
Build a scalable, GDPR-/AZAV-compliant platform architecture.
Provide technical leadership across 2–3 team leads.
Work closely with other stakeholders.

Requirements

What you’ll need

At least 8 years of experience in software development, including a minimum of 3 years in leadership responsibility for engineering teams.
Proven track record of delivery and outcomes: you can demonstrate how you led a team to higher throughput, shorter time-to-market, and clearer results.
Experience building and scaling engineering teams in dynamic startup or scale-up environments.
Deep technical experience with modern SaaS/platform architectures (cloud, APIs, system integration, CI/CD, monitoring).
Practical experience in AI engineering (e.g., LLM integration, coding agents, AI-assisted development workflows) and a clear mindset for AI-driven development.
Nice to have: experience in regulated environments (e.g., GDPR, EdTech, AZAV).
Strong communication and stakeholder management skills in German and English.
A leadership style that combines high expectations with enablement.

Benefits

Comp & perks

You’ll find a solution-oriented, data-driven working approach, an open feedback culture, and strong team spirit.
Take ownership from day one, actively contribute your own ideas, help shape processes sustainably, and significantly influence our operations.
We work in a hybrid model and are typically in the office in Berlin 3 days per week.
You can work up to 10 days per year from anywhere within the EU, EEA, and Turkey.
Regular team interaction, seasonal celebrations, and a well-stocked kitchen create a lively working environment.
Complete our online training to expand your technical skills and develop into an expert in data and AI.