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

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

The Senior Applied AI Engineer will build AI-driven interactive product demos, collaborating with design and engineering teams to create intelligent multimodal experiences.

The Visual Designer will enhance the product's visual quality, build a scalable design system, and ensure exceptional design standards are maintained.

The Mid Market Account Executive drives sales for midmarket companies, aiming to hit quarterly quotas through prospecting and effective sales communication. Responsibilities include utilizing various tools for customer outreach and collaborating closely with product teams to optimize sales processes.

The Strategic Account Manager will develop account plans, build relationships with data center customers, and drive specifications for automation solutions, leveraging deep industry knowledge and sales strategies.

The role involves overseeing statistical programming for oncology trials, providing guidance on regulatory submissions, managing cross-functional collaboration, and ensuring compliance with CDISC standards, while also leading programming teams and projects.

The Technical Account Manager at Variance will ensure enterprise clients maximize platform value through technical guidance, troubleshooting, and collaboration post-deployment.

Manage end-to-end payroll and timekeeping for a multi-state and international workforce. Ensure accurate, compliant payroll processing, reconciliations, year-end filings, vendor coordination, policy controls, and employee support while supervising a small payroll team and driving system/process improvements.

Lead fairness and solvency opinion engagements, manage client relationships, oversee execution of analyses and deliverables while driving practice growth on the West Coast.

As an ML Infra Engineer, you'll build and maintain training and inference frameworks, scale distributed workloads, and improve system observability. You'll apply state-of-the-art methods while collaborating with ML and Platform teams.