A small piece of paper with numbers that have the power to change a life forever! Okay... let's replace the paper with an app and one person with 500,000+ monthly users. This is our business!

📌 Your Mission

As AI Business Systems Engineer (m/f(d) - Identify where technology can create the highest impact across the company — Marketing, Finance, HR/People, Product, Data, and beyond — build AI-powered systems that give us full control and outperform any off-the-shelf solution, and continuously improve them using AI as the primary development engine. The person does not write code manually — they direct AI tools as the developer while owning architecture, security, and production quality end-to-end.

✅ Your Tasks & Responsibilities

• Discovery & problem definition (ongoing): Shadow every team — Marketing, Finance, HR/People, Product, Data, and Operations — run structured interviews, map workflows, identify bottlenecks and failure modes, translate into problem statements and measurable success criteria.

• Solution design & proposal (project-based): Present solution options with effort/impact/risk tradeoffs; define architecture, security requirements, and rollout plan before building.
  

• Marketing Intelligence Platform (flagship): Full-stack marketing OS: Ingests all channel data (paid, SEO, Trends, etc.), analyzes performance, auto-generates/tests/creatives/decisions. Ties to user behavior for personalized funnel (w/ Data Sci). Self-improving.
  

• Customer Engagement Platform (flagship): Custom system: Lifecycle messaging/push/in-app flows integrated w/ Web/App data (w/ Data Sci personalization/segmentation). Lightweight SDK for frictionless event tracking + data ownership.
  

• AI-driven system maintenance (ongoing): Feed error logs, performance anomalies, and failure patterns back into AI workflows that diagnose, propose fixes, and apply them. Systems improve autonomously over time.
  

• Developer Enablement (ongoing): Support prod eng team w/ AI workflows/tooling/hands-on sessions: Own internal tracking SDK for frictionless Web/App event tracking. Bidirectional support; work adjacent to their roadmap.
  

• Security & reliability (ongoing): Secrets management, least-privilege access control, user data handling, audit logging, monitoring, alerting, and clear failure handling across all systems.
  

• Documentation (ongoing): Concise documentation per system — purpose, inputs/outputs, failure modes, how to modify — transferable and operable without the original author.
  
  

🎯 Your Goals in This Role

• Within 1 month: Marketing Intelligence Platform live — all major paid media channels connected, data normalized, AI-generated recommendations in active use by the marketing team. Monitored, documented.
  

• Within 3 months: Platform extended to all data sources. Campaign optimization running semi-autonomously — the system proposes, tests, and measures. Customer Engagement Platform live, handling the highest-impact engagement workflows. Both systems self-improving via AI diagnostic loops.
  

• Within 6 months: Both platforms operating largely autonomously. Marketing decisions informed end-to-end by the system — from data ingestion to creative generation to campaign execution. At least two additional high-impact systems live across Finance, HR/People, Product, or Data — based on own discovery and prioritization.
  
  

🚀 Your Key Competencies

Must-have

• Full-stack engineering: TypeScript/JavaScript, React or comparable frontend framework, production-grade component design — enough to define architecture, review AI output critically, and make sound technical decisions.
  

• Backend engineering: API design, server-side logic, authentication flows, database modeling — build and own production backend systems end-to-end.
  

• AI-native development: Uses AI coding tools (Claude Code, Cursor, or comparable) as the primary developer — not as autocomplete. Directs, reviews, and takes full accountability for everything AI produces. When AI gets it wrong, catches it, fixes it, and builds guardrails.
  

• AI model evaluation: Actively monitors new model releases across providers; evaluates rationally — capability, cost, latency, reliability; integrates when it makes sense. Never runs last quarter’s stack out of inertia.
  

• LLM workflow design: Designs LLM-powered workflows with validation, guardrails, and human-in-the-loop patterns. Builds AI-driven maintenance loops that feed logs and anomalies back into workflows that diagnose and improve live systems.
  

• Multi-agent orchestration: Directs AI agents across build, test, QA, and deployment — treats them as a managed team, not a single tool.
  

• Security discipline: Secrets management, least-privilege access control, user data handling, audit logging — especially for user-facing systems.
  

• REST API integration: Auth, rate limits, retries, error handling, edge cases.
  

• SQL: Querying, validation, transformation, data quality checks.
  

Nice-to-have

• Familiarity with paid media APIs (Meta, Google, TikTok) or marketing data pipelines
  

• Experience with customer engagement and tracking systems — event schemas, analytics pipelines, behavioral data

• Experience with GDPR-sensitive user data in consumer products
  

• Prior work in a product company with real scale

• Strong problem identification instinct — spots problems others have not yet articulated
  

• High ownership and accountability — ships, maintains, and improves; does not prototype and move on
  

• Structured thinking under ambiguity — scopes clearly, defines success criteria, executes without hand-holding
  

• Strong cross-functional communication — translates business pain into working systems; output understandable to non-technical stakeholders; aligns before building
  

• Reliability mindset — monitoring, failure handling, self-improving systems
  

• Documentation discipline — creates systems others can operate
  
  

🏆 Your Impact in This Role

• Full ownership and control over our most critical systems — marketing intelligence and customer engagement — with solutions tailored precisely to how we operate and designed to outperform any generic alternative
  

• Full-stack marketing operating system that turns data across all channels into autonomous campaign decisions and creative output
  

• Personalization at scale: individual-level engagement and marketing decisions informed by behavioral data, built in collaboration with Data Science and Analytics
  

• Company-wide leverage: high-impact systems across Marketing, Finance, HR/People, Product, and Data — discovered, built, and operated by one person using AI as the development engine
  

• Higher execution velocity across all teams through AI-powered automation
  

• Raised AI development capability across the existing engineering team

🎓 Your Background – Education & Experience

• 5–8+ years in software engineering, systems engineering, growth engineering, or similar high-output builder roles — with demonstrated experience shipping production systems to real users.
  

• Academic background in a technical field — Computer Science, Software Engineering, Mathematics, or comparable — that provided a solid foundation in engineering concepts, data structures, system design, and software quality. Demonstrably equivalent professional training accepted.
  

• Proven ability to design clean, maintainable systems: modularity, testing, code quality, performance, security — not just prototypes.
  

• Startup/scale-up experience strongly preferred.
  

• Has fully transitioned to AI-driven development: uses Claude Code, Cursor, or comparable tools as the primary developer. No longer writes code manually. Can review, validate, and take full ownership of every line AI produces.
  

• Candidates who rely on AI to generate code without understanding architecture, security, and maintainability are not a fit.

🎁 What we offer you:

Remuneration & work-life balance:

• Competitive salary and trust-based working hours.

• Private health insurance.

• Generous training budget.

• Extraordinary team events.

• Meal benefit.

Communication & trust:

• Open, honest and direct communication. Your ideas are welcome!

• A feedback meeting every quarter to help us grow together.

• We encourage innovation and are open to new ideas that push the boundaries.

Modern working:

• Everything you need for your daily work: MacBook, monitor, headphones and more.

Individual training:

• One training day per month and a generous training budget for your personal development.

Buddy program:

• An experienced team member will support you from day one to help you get started.

The team

• We are a colorful bunch from different nations and backgrounds. We don't distinguish by religion, gender, age, marital status... For us, the focus is on what you can do!

🪴Our values:‍

MAKE IT HAPPEN 💪🏼

• Drive results - Own the problem, the goal, and the outcome through self-organization and decisions backed by data

• Speak up with courage - Challenge ideas and raise issues directly when it matters

• Getting things done - Be pragmatic, keep momentum, and bring the energy

• Deliver quality impact - Ship solutions that move our mission and strategic goals forward

WIN TOGETHER 💚

• Communicate openly and respectfully - Be transparent, assume positive intent, and set aside own ego when interacting with others

• Help others win - Proactively share knowledge, time, and strengths in an interdisciplinary set-up

• Work across cultures - Learn from others’ perspectives and actively refine own style for trust-based collaboration in a diverse team

• Bring team spirit - Create moments of joy and belonging that fuel big outcomes together

SHAPE THE FUTURE  🚀

• Experiment to learn - Run tests, measure outcomes, treat mistakes as an invitation to learn and adapt insights into action

• Spot opportunities - Stay close to customers and market trends to identify what’s next

• Build user-first innovation - Deliver trustworthy, data-driven solutions and services that set the bar

• Grow yourself - Challenge and reflect on the way you work, seek feedback, and keep developing your skills
  
  
  👉 Sound like you?  📩 https://nextlottogmbh.teamtailor.com/