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You will design and implement quantitative financial engines for booking forecasts and pricing while executing product strategy for payment workflows. You will also stress-test unit economics and marketplace liquidity models to prepare the company for launch.
Solpace is the sovereign operating system for independent electronic music, nightlife culture, and underground dancefloors.
We are building the digital infrastructure that returns financial sovereignty, data intelligence, and creative power to artists, independent venues, and fans across Europe.
Today, independent clubs and creators are squeezed by extractive ticketing platforms charging 10 to 15 percent fees, and streaming services paying fractions of a cent per play. We are building the sovereign alternative.
Predictive Booking & Yield Forecasting: Data-driven models predicting ticket demand across European cities based on local listener density, genre compatibility, and competing events.
Margin-Guarded Promoter Marketing: Algorithmic ad-spend models governed by an automated Net Margin Engine that caps promoter risk and protects event budgets.
Marketplace Economics & Smart Splits: Multi-party automated payout architectures (Stripe Connect, Smart Splits) ensuring artists, labels, venues, and sound crews get paid instantly at checkout with 0 percent creator commission.
Tour Routing Optimization: Spatial listener clustering formulas helping independent artists and booking agencies plan profitable, sustainable European tours.
Quantitative & Financial Engines: Designing, validating, and implementing the mathematical models behind our B2B booking forecasts, affiliate incentives, and transparent pricing tiers.
Product Strategy & Workflow Execution: Translating complex payment workflows and predictive data into intuitive, fast interfaces for club managers, labels, and promoters.
Commercial & Analytical Readiness: Stress-testing unit economics, marketplace liquidity models, and investor materials as we prepare for launch and acceleration.
Background: Top quantitative or engineering university (e.g. KTH Industrial Engineering / IndEk, Engineering Physics / Teknisk Fysik, Frankfurt School of Finance, University of Mannheim, TU Berlin, RWTH Aachen) in Optimization, Applied Mathematics, Financial Engineering, or equivalent product background.
Comfort with code and data: Ability to write Python, SQL, or TypeScript scripts to model logic, combined with a deep understanding of marketplace dynamics.
Music & nightlife passion: Genuine curiosity about club culture, live events, or electronic music.
Substantial Co-founder Equity stake (standard vesting with cliff).
Flexible commitment: ~10 hours/week alongside finishing studies, master's thesis, or day job, transitioning into full-time.
Strong foundation from day zero: working codebase, clean architecture, and real audio pipelines, not just a pitch deck.
Location: Stockholm, Berlin, or Remote across the European Economic Area (EEA).
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