Top Tech Jobs & Startup Jobs

Lead and scale Brigit's IT Operations: manage day-to-day support, own IAM/SSO (Okta), maintain VPN and security tooling (SIEM, IDS/IPS, firewalls), drive audit readiness (SOC, PCI, SOX), improve incident response, document processes, and partner cross-functionally on security and compliance.

Lead Brigit's product organization across product management, design, and research. Own product vision, roadmaps, and outcomes (acquisition, conversion, engagement, monetization). Build and scale cross-functional teams, drive data-informed experimentation, and partner with engineering, data, and marketing to optimize product velocity and business metrics in a regulated consumer fintech environment.

Own FP&A functions including strategic modeling, budgeting, forecasting, reporting, cash flow management, and unit economics. Partner cross-functionally to deliver insights to leadership, improve finance processes, automate work, and support hiring and mentorship of analysts.

Build and scale consumer finance web and mobile features end-to-end using React/React Native and Java services on Google Cloud. Improve performance, design GraphQL/REST APIs, optimize SQL schemas, integrate third-party services, implement risk and transaction algorithms, automate testing and CI/CD, and enhance internal tools to support millions of users.

Build and scale consumer-facing mobile and web applications and backend services. Own features end-to-end across frontend and backend, optimize databases and queries, integrate third-party APIs, implement algorithms for risk and transaction evaluation, improve reliability and CI/CD, and contribute to testing, monitoring, and internal tools to support customer operations.

Responsible for scaling the consumer finance platform, improving API performance, integrating with third-party APIs, and enhancing user experience for millions of users.

Senior fullstack engineer to build and scale Brigit's consumer finance platform. Own end-to-end features across frontend (React/React Native/TypeScript) and backend (Java/REST/SQL), optimize database and APIs for high scale, integrate 3rd-party services, implement risk and transaction algorithms, improve CI/CD, testing, monitoring, and internal tooling to support millions of users.

Lead development, deployment, and monitoring of underwriting, risk, fraud, and payments ML models. Own full modeling lifecycle, feature engineering, validation, A/B testing, cross-functional collaboration, and mentor junior data scientists.

Design, build, validate, deploy, and monitor ML models (credit risk, fraud, transaction timing). Create training datasets, run A/B tests, analyze customer behavior, and collaborate with Engineering, Product, and Analytics to deliver end-to-end data science solutions.

Lead and own end-to-end ML modeling for underwriting, fraud, and payments: build, validate, deploy, monitor models; create training datasets; run A/B tests; analyze customer trends; establish feature and model best practices; and mentor junior data scientists while collaborating with Engineering, Product, and Business teams.