Top Tech Jobs & Startup Jobs

The Startup Account Executive at Mercor will build relationships with venture-backed tech companies, manage the sales cycle, and understand buyer needs. Responsibilities include driving new business, managing rapid sales cycles, and developing solutions tailored for startups.

As a Mid-Market Account Executive at Mercor, you'll drive new business and manage the sales cycle for mid-sized companies, focusing on contingent workforce solutions. Your role involves prospecting, conducting discovery calls, and negotiating with VP-level decision makers to ensure successful account launches.

As a Strategic Project Associate, you'll drive project execution for AI labs, manage domain experts, and collaborate with teams to generate significant revenue.

The Research Program Manager will coordinate the development and release of AI benchmarks, handle project management, communications, and marketing efforts, ensuring smooth processes and strong community engagement.

Lead and scale Mercor's People Operations: build HR systems and processes, manage the employee lifecycle, ensure global compliance, run reporting and analytics, oversee benefits, and partner with leadership, finance, and legal to support a high-growth international workforce.

As a Software Engineer, you'll architect and scale distributed systems, mentor junior engineers, and influence product decisions for AI development projects.

As a Software Engineer, you'll design and build backend systems, collaborate with teams to deliver features, write maintainable code, and solve customer problems that impact AI companies.

As an Infrastructure Engineer, you'll design and maintain cloud infrastructure, build automation workflows, manage CI/CD pipelines, and improve system reliability while collaborating with product and research teams.

The Data Engineer will build and maintain data pipelines, ensuring data quality, reliability, and usability for the Data Science and Engineering teams. Responsibilities include processing data from various sources and improving pipeline performance.

Analyze data to enhance product performance, design A/B tests, build dashboards, and improve data quality. Engage in LLM evaluations and communicate findings effectively.