Top Tech Jobs & Startup Jobs

Build and scale a revenue data platform within a Microsoft Fabric lakehouse. Develop ELT pipelines, transform data into analytics-ready dimensional models, ensure data quality and observability, support historical/time-based revenue analysis, and collaborate with revenue, marketing, and finance teams. Mentor junior staff and establish platform standards, CI/CD, and governance to create a trusted single source of truth for revenue metrics.

Manage a portfolio of enterprise fitness clients to drive retention, satisfaction, and growth. Lead implementations, onboard and train customers, conduct business reviews, handle escalations, identify expansion opportunities, and collaborate with Sales, Product, and technical teams to deliver measurable value and improve customer experience.

Enable engineering teams to adopt AI tools by creating training, workshops, demos, reference implementations, documentation, and hands-on examples. Partner with platform, architecture, security, and engineering leadership to translate AI capabilities into developer workflows, define best practices, gather feedback, and improve internal AI developer experience.

The Manager of Financial Planning & Analysis leads financial strategy, oversees reporting and planning processes, and supports executive leadership with strategic insights for growth and operational excellence.

As a Front-End Developer Intern, you will design and build web applications, collaborate with teams, participate in code reviews, and maintain code quality.

Lead and scale the data engineering function: design and maintain Azure-based data warehouse and high-performance ETL pipelines, ensure data quality and governance, mentor the team, collaborate with stakeholders, and drive data strategy and innovation.

The Principal SRE will architect core platform capabilities, transform CI/CD into validation systems, establish observability patterns, and ensure system reliability and efficiency.

Lead a global data engineering and data product organization to define scalable enterprise data architecture, deliver financial and customer data products, modernize cloud and legacy data environments, enforce data governance and observability, and build high-performing teams to support analytics, BI, reporting, and AI-ready data foundations.

Participate in Scrum ceremonies, review user stories, design and implement test automation in TypeScript, create test plans, execute manual and regression tests, log and triage defects, and contribute to QA standards and test design documentation.

Lead payments performance monitoring, forensic billing and collections analysis, and BI to identify trends and recommend actions. Produce stakeholder reports, prioritize collection strategies with Product/Engineering/Finance, evaluate initiatives for revenue/cost/risk impact, and drive outcomes through technical leadership and strategic insight.