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

Serve as the first contact for inbound prospects: make ~150 outbound calls daily, respond quickly to leads, qualify needs, schedule advisor appointments, follow up, rebook missed meetings, and maintain accurate HubSpot CRM records while meeting activity goals and participating in coaching.

This role involves submitting applications and maintaining candidate information for future job openings at Sumeru Equity Partners.

Manage the full cycle of federal contract acquisition, ensuring compliance, conducting price analysis, and overseeing contract administration with no assistance.

Six-month unpaid, full-time apprenticeship to edit, repurpose, and publish a founder's daily B2B SaaS content across YouTube Shorts, X, Reddit, and Substack. Responsibilities include video editing (Descript), platform-native formatting, publishing with optimized metadata, monitoring engagement, and iterating to maximize reach. Exclusivity and regional eligibility required.

The role involves developing and improving TTS/Voice Generation models, training, fine-tuning, evaluating speech models, and collaborating across research, engineering, and product teams in a fast-paced startup environment.

The Enterprise Account Executive will manage full-cycle enterprise deals, targeting mid-market to enterprise DTC brands, executing end-to-end sales processes, conducting demos, and consulting with stakeholders.

The Global Accounts Director will drive new client acquisition, expand relationships with existing customers, and manage complex enterprise sales cycles, focusing on SaaS solutions for large enterprises.

As a Senior Software Engineer, you will design and develop user-facing products and back-office tools while collaborating with diverse teams to solve complex problems with innovative solutions.

Lead definition and evolution of cloud data architecture and analytics platform using a lakehouse approach. Design secure, scalable AWS data platforms, medallion data layers, data modeling standards, ETL/ELT and streaming pipelines, governance, observability, and AI/ML enablement. Drive tool selection, cross-team architecture reviews, mentor engineers, and enforce data security, compliance, and operational excellence across the organization.

The AI Data Specialist role involves data collection, evaluation, annotation, and labeling for AI-generated content in English.