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Design, build, and operate a low-latency online feature store and supporting batch/streaming pipelines. Optimize Postgres schemas and real-time serving for ML models, improve scalability, reliability, and observability, mentor junior engineers, and partner with data science, analytics, product, and application teams to deliver production-grade MLOps solutions.

Design, build, and operate an online feature store and associated batch/streaming pipelines. Optimize Postgres schemas for real-time feature serving, ensure reliability and freshness for ML models, lead technical enhancements, partner with cross-functional teams, mentor junior engineers, and contribute to code reviews and system design.

This role is responsible for prospecting and converting financing applications, engaging with small business owners, and driving measurable sales results through lead conversion.

In this role, you will analyze portfolio performance, assess risk strategies, and report insights to management, aiding business growth.

The Senior Analyst, Portfolio Strategy will analyze pricing and credit strategies, manage portfolio risk, and support decision-making with data insights.

The Senior Analyst, Portfolio Strategy will provide insights to drive business growth, manage portfolio risk, and analyze pricing and profitability.

The Sales Development Representative engages with SMB owners to drive lead conversion by addressing their concerns and presenting funding options. They manage high call volumes, track lead activity in Salesforce, and collaborate with other teams to improve the sales funnel.

Lead sales analytics and reporting to drive revenue and efficiency. Build Tableau and Salesforce dashboards, analyze pipeline health, perform ad-hoc and pilot analyses, partner with sales leadership and cross-functional teams, administer compensation and CRM updates, and evaluate/implement AI-driven sales tools to optimize performance.

Lead and grow a team of analytics engineers to build an AI-ready, centralized data foundation. Hands-on duties include writing/reviewing SQL and dbt, designing semantic and dimensional data models, driving data quality, observability, testing, and CI/CD, partnering cross-functionally to deliver scalable data products, and recruiting and developing engineering talent.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.