Top Tech Jobs & Startup Jobs

Partner with the GM of Growth to drive strategy, OKRs, and execution across product, growth, marketing, and operations. Lead cross-functional initiatives, remove blockers, run hiring and go-to-market workstreams, and act as a trusted, flexible strategic partner and proxy for the GM.

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

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.

As an Engagement Manager, you will manage key customer relationships in AI, lead commercial processes, and collaborate cross-functionally to ensure client satisfaction and growth.

As a Backend Engineer, you'll develop backend infrastructure for contract workflows and identity management, ensuring secure and scalable operations.

As a Software Engineer on Applied AI, you will build and operate scalable systems for data generation and model evaluation, collaborating closely with AI researchers and customers to deliver high-impact solutions.

Own full-cycle technical recruiting for software, ML, infrastructure, and leadership roles. Partner with engineering leaders to define headcount and hiring processes, build top-of-funnel sourcing, design predictive assessments, coach interviewers, optimize funnel metrics, and represent Mercor externally. Operate from the NYC office and drive speed, quality, and employer branding.

Identify and prospect enterprises with valuable data assets, run high-volume outbound campaigns (email, phone, LinkedIn), generate qualified meetings for Partnerships, develop account strategies, research markets and competitors, and collaborate cross-functionally to transition opportunities and scale playbooks.