Top Tech Jobs & Startup Jobs in Charlotte, NC

The Business Advisor will drive revenue growth and enhance partnerships in the Rentals marketplace by managing sales cycles, conducting meetings, and expanding industry knowledge.

The Senior Business Intelligence Manager will lead BI initiatives, define enterprise metrics, and ensure trusted data foundations for customer experience operations. Responsibilities include building BI datasets, designing dashboards, and collaborating with various teams to drive analytics solutions.

As a Business Intelligence Manager, you will lead data-driven decision-making through analytics, reporting, and data management to improve customer experience operations.

The Principal Data Scientist will analyze complex datasets, collaborate with teams to define metrics, mentor junior staff, and communicate insights to enhance Zillow Rentals' products and strategy.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

Lead and improve StreetEasy's product development operating system: own planning rhythms, decision pathways, cross-functional alignment, and PDLC standards. Drive predictable delivery, reduce friction from insight to shipped value, integrate AI/automation into workflows, and collaborate across Product, Design, Engineering, Data, and Marketing.

Lead vision and roadmap for Zillow Rentals' support tech stack, unifying Salesforce/Zendesk with AI/LLM agents. Drive buy-vs-build decisions, onboarding frameworks, KPIs (cost-per-resolution, CSAT, AI accuracy), and cross-functional alignment to improve operational efficiency and partner satisfaction.

Lead strategy and execution for Zillow's eventing/data platform, owning roadmap, standards, tooling, and adoption. Partner with engineering, data science, AI, and product teams to deliver event-driven capabilities, measure impact, and drive platform reliability and developer experience.

Lead the design and implementation of mortgage technology features, mentor engineers, and collaborate across teams to improve customer experiences.

Design, implement, monitor, and optimize scalable data pipelines and models at petabyte scale. Ensure reliability and production-grade deployments, automate repeatable processes, collaborate with product and analytics partners, mentor junior engineers, and drive engineering best practices and code quality.