Top Tech Jobs & Startup Jobs

As a Software Engineer, Applied AI, you'll architect and implement integrations and scalable solutions for enterprise clients, focusing on technical requirements and business goals.

The Growth Partnerships Lead will identify, build, and scale partnerships, manage negotiations, and work closely with internal teams and stakeholders to drive business development initiatives.

As a Technical Recruiter at Mercor, you'll manage full-cycle hiring for technical roles, collaborating closely with senior leaders to enhance recruiting processes and systems.

The Senior Growth Lead at Mercor will manage candidate pipelines, optimize sourcing channels, and drive growth outcomes, working closely with teams across the company.

Build systems for Mercor's hiring engine, including pipelines for indexing, sourcing, scoring, and conversion. Work with ML and backend technologies.

Lead a customer-facing applied AI engineering team to deliver production-grade, cloud-native AI systems. Translate customer workflows into scalable agentic solutions, oversee deployments, evaluation and continual-learning loops, hire and mentor engineers, remove blockers, and coordinate with Sales, Product, Research, and Platform teams to ensure reliable, scalable enterprise deployments and measurable commercial outcomes.

The Enterprise AI Lead will manage relationships with clients, develop commercial strategies, drive initiatives across teams, and present to executives, requiring strong communication and problem-solving skills.

Own product-line P&Ls, lead forecasting, budgeting, and financial modeling. Partner with GMs and product leaders to guide capital allocation, pricing, and strategic decisions. Improve reporting, dashboards, and processes to scale finance operations.

The Program Manager oversees quality programs, develops automated solutions, manages a team of quality specialists, and ensures high-quality human data deliverables.

Own end-to-end data delivery and operations for RL training environments: scope projects, manage distributed contributor teams, meet throughput and quality targets, partner with engineers to unblock pipelines, drive process improvements, and deliver high-pressure client requests on tight timelines.