VP of Product & Engineering leading the technical vision and execution for twomynds, a Data & AI consulting firm transitioning to Product-Led Solutions. Overseeing team scaling and product development.
Responsibilities
You are responsible for the technical vision and execution of our transformation into a product-led consulting company.
You will build the bridge between our successful consulting projects and scalable, AI-based solutions and grow our technical team from today’s 7–9 people to 15+ experts.
You will work directly with the founders, have full decision-making authority over tech stack, hiring and the product roadmap — and actively shape twomynds as a technical leader.
Develop solutions instead of projects
Identify recurring patterns in client engagements and transform them into productized, AI-powered solutions (e.g., AI-based marketing attribution, predictive analytics, NLP-powered analyses).
Develop and pilot our first scalable solution from concept to market-ready product.
Define a technical roadmap that combines state-of-the-art AI technologies (LLMs, ML automation, GenAI) with practical business applicability.
Scale and lead the technical team
Establish technical excellence: from modern MLOps practices to production-ready AI systems.
Create a culture that combines innovation with pragmatic execution — "shipped beats perfect".
Connect 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, AI tools.
Master the balance between fast, bespoke client delivery and long-term, scalable product development.
Strategic partnership & thought leadership
Shape the product strategy with the founders: which AI opportunities do we address as products? Where do we allocate our resources?
Support pre-sales and strategic client projects with deep AI and technical 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 of technical team leadership (managed 5–10+ people).
Strong AI expertise and hands-on project experience: you have deployed AI/ML in production (not just prototypes) and understand modern AI technologies such as ML/AI, LLMs, GenAI, NLP and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).
Consulting or product-company background: you either know the consulting world and have built productized solutions there, or you have developed AI products at tech companies.
Pragmatic delivery mindset: "shipped beats perfect" — you deliver functioning MVPs, not over-engineered monuments, and move quickly in ambiguity without sacrificing quality.
Preferred: 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 the C-level.
Languages: fluent German (C1+), good English.
Benefits
Training and development budget
Mentoring & individual career paths
Budget for conferences, trainings and AI research
Opportunities for thought leadership (conferences, content, personal branding)
Flexible working hours and high remote flexibility (1x office day per week in Cologne/Bonn)
Permanent employment contract
Equity participation — you help build the company and you benefit from it
Regular team events, workations and team offsites
Urban Sports membership and public transport subsidy
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