Software Engineer, Revenue Science

OverviewWho is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.Location: United States (Remote, with quarterly onsite team sessions)Company Stage of Funding: Publicly Traded / Growth-Stage FintechOffice Type: Digital-First RemoteSalary: $142,000 – $196,600 base + Bonus + EquityWebsite: Description: We’re representing a leading AI-powered lending platform that partners with financial institutions to expand access to affordable credit. By combining machine learning, decisioning engines, and flexible configuration tools, the company delivers smarter pricing, better borrower experiences, and improved risk management for its partners.The Revenue Science team builds the infrastructure that optimizes borrower offers — balancing customer appeal, lender requirements, and capital availability. This role provides the opportunity to work on high-impact backend systems that directly influence revenue growth and borrower access to affordable credit.What You Will DoAs a Software Engineer on the Revenue Science team, you will:Collaborate with product, analytics, ML, and capital markets teams to drive smarter pricing and efficient capital deployment.Design, build, and maintain real-time services powering fee computation and offer filtering.Identify opportunities to optimize marketplace performance and lender alignment.Develop scalable, reliable systems that support experimentation and rapid market adaptation.Ensure the security, performance, and availability of pricing platforms.Participate in code reviews, testing, and deployments to deliver high-quality, maintainable code.Ideal Background3–5 years of professional experience in backend or full-stack software development.Hands-on experience with distributed systems and APIs.Proficiency in one or more of the following: Kotlin, Python, Ruby on Rails, PostgreSQL.Experience deploying applications in a cloud-native environment (AWS, GCP, or Azure).Familiarity with microservices and real-time data pipelines (Kafka, Spark, or similar).Strong collaboration and communication skills to work effectively with cross-functional teams.PreferredBackground in fintech, particularly in revenue optimization, pricing, or capital markets.Familiarity with integrating machine learning models into production systems.Experience working on internal tools to improve team efficiency.Demonstrated ability to thrive in varied environments — both collaborative and independent, remote and pensation and BenefitsBase Salary: $142,000 – $196,600Equity & Bonus: Performance-based bonus + equity participationHealth: Comprehensive medical, dental, and vision coverage (with HSA contributions)Retirement: 401(k) with 100% company match up to $4,500Additional Benefits:Employee Stock Purchase Plan (ESPP)Life and disability insuranceGenerous holiday, vacation, sick, and safety leaveParental, family care, and military leave programsAnnual wellness, technology, and ergonomic stipendsSocial activities including ERGs, book clubs, fitness groups, and volunteeringCatered lunches and snacks when working in officesThis role is ideal for an engineer who thrives on building distributed systems, wants to optimize real-time decision engines, and is excited to work on critical infrastructure powering smarter lending at scale. #J-18808-Ljbffr

Created: 2025-09-18