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.
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.
Optimization solutions in practice
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Implement optimization models (e.g. planning, scheduling, allocation) as part of real production systems
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Translate functional analyses into concrete technical implementations under guidance
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Help ensure solutions are reliable, understandable, and usable by end users
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Learn how to balance model quality with real-world constraints like data quality, runtime, and operational robustness
Production-ready implementations
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Build client-specific layers on top of Superlinear’s Autonomous Enterprise OS
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Integrate data sources, APIs, and workflows into deployed solutions
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Contribute to testing, documentation, and monitoring to ensure reliable deployments
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Learn best practices for building maintainable systems that can scale
Working closely with clients and the team
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Collaborate with Deployment Strategists, other engineers, and product teams
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Participate in discussions with client stakeholders to understand operational needs
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Communicate progress, limitations, and trade-offs clearly
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Learn how enterprise environments actually work and how decisions get made
Learning, feedback & growth
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Contribute to code reviews and learn from feedback
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Share lessons learned from deployments with the team
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Gradually take ownership of larger workstreams as your experience grows
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Build deep understanding of Superlinear’s platform and deployment patterns
Essential Experience
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Master’s degree in Applied Mathematics, Operations Research, Computer Science, or a related field
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Around 2 years of experience in software engineering, applied optimization, or a similar role (including relevant internships)
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First experience implementing analytical or optimization solutions in practice
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Interest in real-world operational problems and decision-making systems
Technical Skills That Matter
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Basic to solid understanding of optimization techniques (e.g. LP, MILP, heuristics)
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Good Python skills and willingness to grow as a software engineer
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Familiarity with writing clean, tested code
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Interest in APIs, data pipelines, and modern development workflows
Mindset & Approach
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Hands-on and eager to learn by doing
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Comfortable asking questions and seeking feedback
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Pragmatic: focused on getting things to work in the real world
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Curious about how businesses operate and how technology can improve them
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Motivated by impact, not just technical elegance
Bonus Points
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Internship or project experience in optimization or decision-support systems
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Exposure to industrial or operational contexts (logistics, manufacturing, mobility, etc.)
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Experience working in a team-oriented or client-facing environment
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Interest in growing toward a more senior or specialized role over time
As a Forward Deployed Engineer (Optimization), your work directly impacts how organizations plan, schedule, and operate. You’ll help turn analytical ideas into systems that people actually use—reducing friction, improving coordination, and unlocking hidden capacity.
This role gives you a rare opportunity to learn optimization in the real world, not just on paper, and to grow into a strong engineer who understands both technology and operations.
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Impact: Work on optimization solutions used in real, high-stakes environments
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Ownership: Real responsibility from day one, with support and guidance
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Growth: Strong learning curve and clear path to more senior responsibilities
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Collaboration: Work closely with a tight-knit team in our Brussels office (next to Central Station)
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Benefits: Comprehensive health insurance, group insurance, meal/eco vouchers, full transportation coverage, internet allowance, and additional Superlinear holidays
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Tools: MacBook Pro, GitHub Copilot, and the best tools to do your job effectively
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Team: Learn from experienced engineers in optimization, AI, and enterprise systems
If you’re excited to work on real systems, grow your skills fast, and see your work make a difference, we’d love to hear from you.
Join us in building optimization solutions that power the next generation of intelligent enterprise systems.
