Job Opportunities API

Enterprise productivity across Europe is under pressure. As complexity increases through geopolitical shifts, labour constraints, and tighter operational interdependencies, many organisations observe that AI and optimization efforts improve local efficiency but fail to deliver structural, enterprise-level gains.  At Superlinear, we work on this gap through enterprise orchestration: enabling better system-level decision-making across people, processes, and machines in environments where siloed optimization no longer works. In our earliest pilots with leading European enterprises, we observe that moving from local optimization to coordinated, enterprise-wide decisions can unlock significant latent capacity. Productivity gains in the range of 10–30% are achievable by reducing systemic friction rather than adding infrastructure.  The 500 largest European enterprises represent roughly €14 trillion in economic output. Enabling even a fraction of them to structurally improve productivity would have impact beyond individual companies.  This is a long-term effort that requires rigor, restraint, and people who care deeply about their craft, take responsibility for outcomes, and are comfortable working on complex, high-stakes systems. This role offers the opportunity to contribute meaningfully to the foundations of enterprise orchestration in Europe’s most critical organisations . That's why we are hiring a Forward Deployed Engineer with a focus on Optimization.   The Role As a Forward Deployed Engineer, you’ll work hands-on on the deployment of optimization-driven decision systems in real client environments. You’ll be closely involved in implementing, integrating, and running solutions that help organizations make better operational decisions. You’ll work at the intersection of optimization, software engineering, and enterprise systems , supported by more senior engineers and deployment leads. This role is ideal for someone with a first professional experience who wants to grow into a strong delivery-oriented engineer. What You’ll Build Optimization solutions in practice Implement optimization models (e.g. planning, scheduling, allocation) as part of real production systems Translate functional analyses into concrete technical implementations under guidance Help ensure solutions are reliable, understandable, and usable by end users Learn how to balance model quality with real-world constraints like data quality, runtime, and operational robustness Production-ready implementations Build client-specific layers on top of Superlinear’s Autonomous Enterprise OS Integrate data sources, APIs, and workflows into deployed solutions Contribute to testing, documentation, and monitoring to ensure reliable deployments Learn best practices for building maintainable systems that can scale Working closely with clients and the team Collaborate with Deployment Strategists, other engineers, and product teams Participate in discussions with client stakeholders to understand operational needs Communicate progress, limitations, and trade-offs clearly Learn how enterprise environments actually work and how decisions get made Learning, feedback & growth Contribute to code reviews and learn from feedback Share lessons learned from deployments with the team Gradually take ownership of larger workstreams as your experience grows Build deep understanding of Superlinear’s platform and deployment patterns Essential Experience Master’s degree in Applied Mathematics, Operations Research, Computer Science, or a related field Around 2 years of experience in software engineering, applied optimization, or a similar role (including relevant internships) First experience implementing analytical or optimization solutions in practi