Top Tech Jobs & Startup Jobs

Leads product vision, strategy, roadmap, and lifecycle for a fintech funding platform. Oversees product management and operations teams, drives funding automation and credit underwriting initiatives, partners cross-functionally on delivery and compliance, and embeds responsible AI practices. Uses analytics, experimentation, customer research, and performance metrics to improve conversion, retention, funding velocity, and satisfaction. Requires extensive product leadership experience, fintech or regulated-platform expertise, Salesforce experience, and strong executive communication skills.

Leads product vision, strategy, roadmap, lifecycle execution, and a growing product organization for a fintech funding platform. Partners with Engineering, Sales, Operations, Marketing, Risk, Compliance, and Finance to deliver funding automation, credit underwriting, and data-driven customer experiences. Establishes product practices, metrics, experimentation, customer feedback loops, and responsible AI development while ensuring regulatory alignment and measurable business outcomes.

Leads product vision, strategy, roadmap, execution, and team scaling for a fintech funding platform. Partners with Engineering, Sales, Operations, Marketing, Risk, Compliance, and Finance to deliver funding automation, underwriting, and customer-facing products. Establishes product practices, metrics, experimentation, customer insight programs, and responsible AI integration while driving measurable business outcomes in a regulated environment.

Design, build, and optimize secure Amazon Connect contact-center solutions on AWS. Responsibilities include configuring routing, IVR, chatbots, AI self-service, outbound campaigns, Contact Lens analytics, CRM and AWS integrations, infrastructure automation, CI/CD, monitoring, security, compliance, documentation, and tier-3 support. The engineer will also perform root-cause analysis, optimize contact-center KPIs, and help develop technical roadmaps.

Lead end-to-end development, deployment, monitoring, and governance of production risk-based pricing and credit models. Perform EDA, feature engineering, model validation, A/B testing, and partner with DevOps/Product/Engineering to ship ML services and maintain model lifecycle, using modern AI/LLM tooling to accelerate work.

The VP of Credit & Business Intelligence will oversee credit policy and analytics for SMB financing, focusing on AI/ML model implementation, risk management, and team leadership in analytics strategy.

Analyze business financing applications, review credit card processing statements and credit reports, assess deal risk, process at least 10 deals daily ($100k+), start collections on defaults, and maintain loss rate under 5%.

Lead end-to-end development, validation, deployment, and monitoring of production risk and credit models for a fintech pricing engine. Perform EDA, feature engineering, A/B testing, and partner with DevOps, Product, and Engineering to ship ML solutions, ensure model governance, and communicate results to stakeholders using modern AI/LLM tools.

Lead end-to-end development, deployment, and governance of production risk and pricing models for real-time decisioning. Perform EDA, feature engineering, model building, validation, monitoring, A/B testing, and partner with DevOps/Product/Engineering to ship scalable ML services. Employ modern AI/LLM tooling and produce clear analyses for stakeholders.

Lead credit policy and analytics for small business and embedded finance products. Develop, validate, and implement AI/ML decisioning models; manage portfolio KPIs, forecasting, BI reporting, and analytics infrastructure; partner with Product, Engineering, and Operations to productionize strategies; leverage Open Banking, credit bureaus and fraud sources to optimize underwriting and customer experience; mentor analytics team and drive executive analytics prioritization.