Top Tech Jobs & Startup Jobs in Raleigh-Durham, NC

Own end-to-end analytics modeling for a business domain: build and maintain dbt models and business marts on Snowflake, develop the BI semantic layer, define consistent metrics, create self-serve data products, and partner with Finance, Sales, Marketing, CS, and RevOps. Validate upstream data with the Data Platform team and translate ambiguous business questions into production-ready data models.

Own the full sales cycle for mid-market accounts: prospect, qualify, present, negotiate, and close. Build pipeline via outbound outreach, maintain CRM, collaborate cross-functionally, and consistently meet activity and revenue targets while developing industry expertise and client relationships.

Investigate and settle complex workers' compensation claims with minimal supervision. Determine coverage, liability, and compensability; manage investigations, appraisals, reserves, payments, and subrogation; coordinate litigation strategy with legal counsel; prepare client and management reports; mentor and train new hires.

Lead and grow distributed QA teams, define QA strategy and automation-first practices, build and maintain test automation frameworks for web/mobile/API, integrate automated tests into CI/CD, manage test planning and release readiness, track quality metrics, and evaluate emerging testing technologies including AI-assisted testing.

Manage data collection and market research for telecom and datacenter suppliers, support RFP/RFQ creation, build vendor partnerships, coordinate cross-functional evaluation and contracting, track supplier performance and market trends, and provide data-driven recommendations to inform network expansion and procurement strategy.

Own integrated execution across the data-to-reporting value stream: maintain unified schedules, dependencies, risks and readiness; drive Jira and Agile delivery hygiene; facilitate cross-team collaboration from requirements through UAT; manage critical path, release planning, and leadership reporting to ensure data/reporting launch readiness.

Senior individual contributor owning AI/ML products end-to-end: discover opportunities, define roadmaps, make build-vs-buy decisions, lead vendor evaluations and cross-functional delivery, monitor KPIs and operational signals, and drive continuous improvement and adoption.

Lead and develop Analytics and Data Engineers across domain squads, focusing on coaching, career development, performance management, staffing, and cross-functional alignment to deliver data product outcomes while improving squad health and operational efficiency.

Manage and grow franchise customer accounts by coordinating internal and external stakeholders, delivering product expertise and support, monitoring territory performance, coaching customers on best practices, and resolving operational issues to drive sales and satisfaction.

Build and maintain unit-level financial models, support budgeting/forecasting and month-end close, deliver KPI reporting and variance analysis, partner with business leaders, and support strategic finance including M&A deal modeling, due diligence, and post-merger integration.