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

The Manager, Commercial Analytics & Insights role focuses on analyzing healthcare data to derive actionable insights that inform brand strategy and enhance business performance. Responsibilities include data analysis, KPI tracking, and cross-functional collaboration with marketing, sales, and patient access teams.

Seeking a Technical Sales Lead with an engineering background to manage sales processes, support clients, and leverage technical solutions.

As a Senior Full Stack Engineer, you will develop data visualization features, scale applications, and collaborate with product teams while taking ownership of high-impact projects in a fast-paced environment.

Lead and grow the Account Management team to drive retention, expansion, and satisfaction for mid-market and enterprise customers. Build scalable processes, tooling, and data-driven programs; manage escalations; partner cross-functionally with Sales, Product, and CS to improve outcomes and support growth.

Crescendo Health seeks a Senior/Staff Full-Stack Engineer to lead product development, focusing on both frontend and backend systems while driving team processes and culture.

As a Sales Assistant, you'll support day-to-day operations in the store, assist with order processing, inventory, and client communication, while gaining hands-on experience in a creative environment.

Act as a judgment layer for founders, handling communications, GTM/BD ops, executive assistance, content and video ops, knowledge-graph maintenance, and extending agent automation to reduce manual work. Operate in-person in San Francisco with founder-level intensity and a focus on systems, taste, and automation.

Design and validate signal processing algorithms for cardiac and pulmonary sounds, optimize and deploy machine learning models, and integrate with embedded systems.

The Industry Manager leads development in energy resilience, identifies market opportunities, and collaborates across teams to optimize energy solutions in various environments.

The role involves building and optimizing display technologies for AI antibody design, data generation for AI model training, and characterizing proteins, requiring strong collaboration and technical skills.