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

Sell luxury home staging services through consultative, territory-based sales. Prospect and nurture leads, conduct on-site walkthroughs and presentations, prepare bids, manage contracts in Salesforce/DocuSign, maintain client communication, close deals, and support post-sale staging processes while meeting company SOPs and sales targets.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform, ensuring smooth, secure, and effective client deployments while collaborating across teams and building automation tools.

Lead design and scaling of legal AI evaluation frameworks and benchmarks, build and maintain datasets, audit and score AI legal outputs, define metrics focused on reasoning and citation accuracy, and collaborate with engineering to translate legal errors into model fine-tuning feedback.

Solicit resumes from candidates when no current role fits; collect applications for future opportunities and contact applicants if a suitable opening arises.

The Junior-Midlevel Developer will build and enhance Dumroo.ai's AI-powered education platform, collaborating on software components, data pipelines, and machine learning features.

The role involves developing APIs, building internal tools, and collaborating with teams to enhance system performance while solving engineering challenges.

Remote Client Success Manager owns 20–40 Amazon client accounts end-to-end: onboarding, strategy, weekly performance analysis, and retention. Coordinate daily with PPC strategists, execute structured processes, log changes, escalate issues quickly, and maintain 2-hour business-hour responsiveness. Operate in a fast-paced agency environment using Amazon and analytics tools to drive profitability and prevent churn.

Act as a Customer Support expert by sharing insights on software vendors, guiding procurement evaluations, and advising on product strategy.

Own end-to-end product development for AI/ML revenue cycle solutions: define vision and roadmap, write specs and user stories, prioritize backlog, work closely with data scientists and engineers, drive agile delivery, ensure quality, and measure product performance with stakeholders.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.