VP Product & Engineering

Role Overview

• You will own the technical vision and execution of our transformation into a product-led consulting company.
• You will bridge our successful consulting projects and scalable, AI-powered solutions, and grow our current technical team from 7–9 to 15+ experts.
• You will work directly with the founders, have full decision authority over tech stack, hiring and the product roadmap — and actively shape twomynds as a technical leader.
• Develop solutions instead of one-off projects: identify recurring patterns in client engagements and transform them into productized, AI-powered solutions (e.g., AI-driven marketing attribution, predictive analytics, NLP-based analyses).
• Develop and pilot our first scalable solution from concept to market-ready product.
• Define the technical roadmap that combines state-of-the-art AI technologies (LLMs, ML automation, GenAI) with practical business applicability.
• Scale and lead the technical team: grow our technical team from 7–9 to 15+ experts (Data Scientists, ML Engineers, Data Engineers, Analytics specialists).
• Establish technical excellence: from modern MLOps practices to production-ready AI systems.
• Create a culture that combines innovation with pragmatic delivery — "shipped beats perfect."
• Combine innovation and delivery: set standards for reusable ML models, AutoML frameworks and GenAI integration in client projects.
• Make technology decisions: cloud infrastructure (AWS/Azure/GCP), ML platforms, data stacks and AI tools.
• Balance rapid, bespoke client delivery with long-term, scalable product development.
• Strategic partnership & thought leadership: shape product strategy with the founders — which AI opportunities do we address as products? Where do we allocate resources? Support pre-sales and strategic client engagements with deep AI and tech expertise. Represent twomynds externally as an AI and tech thought leader (conferences, content, employer branding).

Requirements

• 5+ years of professional experience, including at least 2 years in technical team leadership (leading teams of 5–10+ people) — you have successfully hired, developed and retained technical and AI talent.
• Strong AI expertise and real project experience: you have deployed AI/ML into production (not only prototypes) and understand modern AI technologies such as ML/AI, LLMs, GenAI, NLP as well as ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
• Background in consulting or product companies: you either know the consulting environment and have built productized solutions there, or you have developed AI products in tech companies.
• Pragmatic delivery mindset: "shipped beats perfect" — you deliver working MVPs, avoid over-engineering, and move quickly in ambiguity without sacrificing quality.
• Desired: consulting-to-product experience: you understand how to extract reusable, scalable solutions from custom projects.
• Scale-up experience in companies with 20–100 employees.
• Cloud & MLOps: familiar with cloud platforms (AWS/Azure/GCP), MLOps, data engineering and analytics stacks (modern data stack).
• Strong communication skills: you can translate AI complexity for business stakeholders and are confident at C-level.
• Languages: fluent German (C1+) and good English.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• PyTorch
• Scikit-Learn
• Tensorflow

Benefits

• Career development towards broader leadership roles (CTO, COO) as we scale.
• Learning & development budget, mentoring and individualized career paths.
• Budget for conferences, training and AI research.
• Opportunities for thought leadership (conferences, content, personal branding).
• Competitive, market-aligned VP-level compensation.
• Equity participation — you build it, you benefit.
• Permanent employment contract.
• Flexible working hours and high remote flexibility (1x office day per week in Cologne/Bonn).
• Modern work models that fit your life.
• Regular team events, workations and team offsites.
• Urban Sports membership and public transport subsidy.