Finance and Business Operations Strategic Partnerships
LovableVisit Lovable website
AI platform for creating, deploying, and managing full-stack software through natural-language interaction.
Maintainer signals as of 9/25/2026
Stockholm, Sweden
Funding history
About Lovable
Lovable lets people describe an idea in plain language and collaboratively build production-grade software. Its platform includes hosting, authentication, payments, integrations, security features, and deployment infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the financial architecture for strategic partnerships across hyperscalers, LLM providers, and the broader AI ecosystem. Build business cases, pricing frameworks, partnership P&Ls, unit-economics models, scenario analyses, and scalable partner operations workflows.
Requirements
- 8+ years of relevant experience.
- Experience structuring complex technology partnerships, including usage-based pricing, compute commitments, revenue shares, referral and reseller programs, co-sell motions, and product integrations.
- Expert Excel modeling skills.
- Strong analytical skills.
- Comfort with SQL, HEX, BI tools, or equivalent.
- Experience using AI tools and agents to automate work.
- Bachelor's degree.
- Background in investment banking, private equity, venture capital, or management consulting combined with operational experience in strategic finance, partnerships finance, or deal operations at a high-growth AI or technology company.
- Experience structuring or evaluating partnerships with hyperscalers, LLM providers, or major platform companies.
Responsibilities
- Build and own partnership models and business cases covering pricing, unit economics, margins, compute costs, and scenario analyses.
- Evaluate partnerships based on incrementality and long-term value creation.
- Design and operationalize partner onboarding, billing, revenue-share, attribution, invoicing, and reporting processes.
- Own accurate, auditable, and scalable contract-to-cash workflows.
- Support deal pricing and structuring through term-sheet negotiation.
- Prepare executive-ready recommendations, tradeoffs, guardrails, and redlines.
- Identify recurring contract risks and build internal deal frameworks.
- Use AI agents and automation to replace manual processes with scalable infrastructure.
