JOIN OUR MISSION

Shape the Future of Applied AI with Us!
At Quantagonia, our founders have built and scaled successful companies, including achieving Unicorn status. But throughout their journey, they saw a recurring problem: while optimization has the potential to solve huge planning challenges, it has always been too complex and out of reach for most businesses.
That’s why we created DecisionAI—to make real-time, AI-powered optimization accessible for everyone. We’re tackling the biggest challenges of our time, from cutting kilometers and costs in logistics to solving complex distribution puzzles, mastering scheduling challenges, and enabling fascinating production optimizations.
This is your chance to bring your theoretical knowledge into real-world action and see the results of your work on the greatest playground of all: the real world.

REQUIREMENTS

• Strong foundation in mathematical optimization concepts and algorithms, with enthusiasm to learn and grow.
• Experience with at least one open-source or commercial solver (e.g. CBC, Gurobi or CPLEX) and writing optimization models in e.g. PuLP.
• Familiarity with programming languages like Python and C++.
• Currently pursuing a BSc or MSc in Computer Science, Mathematics, or a related field.
• Passion for using math and technology to solve the world’s most pressing problems.

ABOUT US

At Quantagonia, we’re on a mission to make AI-powered optimization accessible to everyone. Founded by experienced entrepreneurs, we’re solving real-world planning challenges with technology that’s as impactful as it is easy to use. Join us in shaping the future, working with a team that values your ideas and drives innovation every day—on-site in Frankfurt or Munich, with room for flexibility

• Build and implement cutting-edge optimization models for problems that truly matter—think workforce scheduling, global supply chains, and energy-efficient production.
• Collaborate on refining and improving our next-generation algorithms to adapt to complex, dynamic business needs.
• Work closely with engineering and business teams to create interactive tools that bring optimization into the hands of decision-makers.