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

The Senior Solutions Consultant works with clients to understand their needs, develop workflows, implement technology solutions, and ensure client satisfaction through effective project management and communication.

The role involves developing client relationships and generating revenue through selling Pharmacovigilance Solutions, attending conferences, negotiating contracts, and coordinating with internal teams.

Manage day-to-day GL functions (leases, equity, fixed assets, taxes, intercompany), prepare journal entries and reconciliations, support month-end close, assist audits, implement accounting standards, and drive process improvements.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As Director of Global Business Travel, you will define and execute TMC strategies, manage enterprise relationships, and drive revenue growth for Wenrix.

The Data Platform Engineer will manage, automate, and optimize ClickHouse infrastructure, focusing on scaling and performance for high volumes of data. Responsibilities include dynamic provisioning, query optimization, and using automation tools, while ensuring optimal hardware usage for workloads.

The Enterprise Account Executive is responsible for driving revenue growth through managing accounts, developing client relationships, and executing sales strategies including upselling and contract renewals.

As a Client Manager, you will manage employer relationships, drive product adoption and engagement, and serve as a consultant for mental health solutions.

As a Senior Client Manager, you will manage employer relationships, drive product adoption, and ensure client retention for Modern Health's mental health platform. You will collaborate with HR leaders and use data insights to improve service delivery.

Lead the identification and acquisition of new partnerships, handle negotiations, and collaborate across teams to drive growth and revenue.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

Lead data initiatives, develop machine learning models, conduct analysis to improve programs, and collaborate with cross-functional teams to drive results for health insurance enrollment.