Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build Mercor's go-to-market infrastructure and internal products: CRM integrations, marketing and onboarding tooling, dashboards, and AI agents. Deploy production-grade automations using frontier language models and workflow orchestration, instrument funnel metrics, and partner with Marketing, Operations, and Engineering to scale reliable, observable systems that increase GTM velocity and reduce repetitive work.

As a Backend Engineer, you'll build backend services for candidate-job matching and marketplace workflows, focusing on APIs, data models, and operational systems.

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.

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

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.

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.

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.