Co-founder — Product, Quant & Business Architecture
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- Germany
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- Remote
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Solpace is an independent Stockholm-based music technology startup supported by KTH Innovation. We exist to return financial power, direct fan ownership, and creative autonomy to the artists, clubs, and dancers who live the culture—replacing corporate streaming pennies, 30% store cuts, pay-to-reach algorithms, and ticketing monopolies.
We fuse sonic & multimodal AI, data-driven booking & yield forecasting, 0%-commission music & DJ-set commerce with instant multi-party Smart Splits, automated promo video & margin-guarded Meta/CRM distribution for artists and organisers, and offline-resilient live event infrastructure into one platform.
We are looking for a Product & Quant Co-founder to bridge technology, quantitative modeling, and marketplace economics alongside our founder (KTH IndEk Computer Engineering & ML, CS at SU) and shape our B2B decision tools, pricing, and predictive engines from day zero.
What We Have Built So Far
Core platform under active development in a clean TypeScript/Python monorepo (React, Next.js, React Native, Node.js/Express, Python/FastAPI, PostgreSQL/pgvector, SQLite, Redis, BullMQ, MeiliSearch, Stripe Connect, Docker, Caddy).
Live public website with interactive product demos (including Yield & Taste Forecaster, Tour Planner & Routing Engine, and Smart Splits) and waitlist at solpace.org.
Supported by KTH Innovation in Stockholm for venture development and commercialisation, with ongoing outreach across Stockholm and European nightlife scenes.
What You Will Build & Co-Own
Predictive Demand & Margin Engines: Design, validate, and implement the math behind our Spatial Yield Forecasting (matching artist sound profiles against local listener density and competing events), automated ad-spend Net Margin risk guards, and ticket-velocity estimation for promoters.
Marketplace Incentives, Routing & Pricing: Model constrained tour routing optimization, 100% face-value waitlist clearing, friend-price referral rewards, affiliate incentives, Stripe Connect Smart Splits economics, and transparent tiered B2B pricing.
Product Strategy & B2B Decision Tools: Translate complex data, closed-loop attribution (listening -> ticket -> door/bar revenue), and multi-party payment workflows into intuitive decision tools and dashboards for organisers, venues, labels, and artists.
Commercial & Incubator Readiness: Build data-backed business cases, unit economics, and investor materials as the founding team scales through KTH Innovation, Nordic incubator tracks (such as SSE Business Lab), and pre-seed/seed fundraising.
Technical Stack: Python (NumPy, SciPy, pandas, scikit-learn, optimization) for modeling, and SQL / React / Next.js / TypeScript for shipping interactive B2B tools.
Who You Are
Studying or graduated from a quantitative engineering, mathematics, CS, or economics program (e.g. KTH IndEk, Teknisk Fysik, Applied Math, or equivalent) — or an experienced product manager, data scientist, quantitative analyst, or marketplace/pricing builder in Stockholm who loves solving complex optimization and unit-economics problems.
Passionate about the intersection of technology, quantitative modeling, product design, and marketplace economics.
Comfortable prototyping in Python (NumPy, SciPy, pandas, scikit-learn) and querying/building with SQL or TypeScript while thinking critically about unit economics and user incentives.
Strong plus for hands-on experience in one or more of: scikit-learn / demand forecasting (or PyTorch), spatial demand & constrained routing optimization, dynamic pricing / referral & waitlist incentives, or A/B experimentation & attribution modeling.
Genuinely interested in music, nightlife, or live events, and eager to co-own a company from the ground up.
What We Offer
Substantial Co-founder Equity: True founding ownership in Solpace (equity-based founding role at pre-seed stage; no corporate bureaucracy).
Direct Analytical & Product Mandate: Own our marketplace economics, quantitative forecasting engines, and B2B product strategy from day one.
Flexible Setup: Works alongside studies, thesis, or current commitments in Stockholm (hybrid at KTH Teknikringen / Sveavägen), transitioning into full-time as we scale.
Interested?
Skip the formal cover letter. Apply with a short note and a link to a model, optimization problem, or product you have built—plus one thought on how you would stress-test our Yield Forecasting & spatial catchment assumptions.
