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

Senior individual contributor who builds centralized analytics (Power BI), delivers insights for underwriting and distribution, standardizes surety marketing content, drives operational efficiency and automation, and leads cross-functional strategic initiatives to improve decision-making and execution.

Design and build responsive, high-performance front-end interfaces for AI-driven finance workflows. Translate complex data into clear visualizations, balance automation with human control, collaborate with backend and AI teams, and own frontend architecture and design system standards.

The Kernel Optimization Engineer will develop high-performance software solutions by optimizing deep learning operations and designing new machine learning kernels for the Cerebras hardware system.

Sell company solutions to large accounts, build and manage enterprise customer relationships, develop pipeline, negotiate and close deals, meet revenue targets, and coordinate with internal teams to ensure account success.

Serve as the school's primary front-office contact, manage daily operations including attendance tracking, substitute coordination, master calendar and room reservations, support event logistics, maintain confidentiality, and assist with scheduling, reporting, and visitor/phone management.

Run CAIS’s daily social presence: translate technical AI safety research into clear social copy, own content calendar and publishing strategy, engage and seed comment conversations, build an amplifier network of creators/clippers, perform social listening, and create a social playbook and scalable stack.

The Senior Finance Manager will oversee accounting operations, manage monthly close and FP&A tasks, and build finance processes and team. They will ensure compliance and report to the CFO.

ClearView Healthcare Partners offers a general application opportunity for individuals interested in healthcare strategy consulting roles in the future.

Own the full mid-market sales cycle for an AI-native requirements platform: prospect, qualify, demo, negotiate, and close deals with engineering-led customers. Build and manage a high-volume pipeline, work with product and engineering to relay feedback, represent Flow at events, and refine GTM strategy and pricing.

Lead product growth for buyer features—own GTM strategy, drive feature adoption, define metrics, partner with Product and Analytics, brief Lifecycle Marketing, run experiments, track post-launch performance, and build product growth roadmaps to increase platform engagement and retention.