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

The Director, Sales will lead a Provider sales team, strategize sales initiatives, oversee performance metrics, negotiate contracts, and collaborate across teams to achieve revenue growth.

As a Business Intelligence Analyst, you will drive analytics, optimize processes, and generate insights to enhance customer success, developing dashboards and predictive models while collaborating with leadership and cross-functional teams.

The Product Manager will define product strategy, manage the product lifecycle, ensure regulatory compliance, and drive API product adoption in healthcare technology.

Lead the design and implementation of scalable AI solutions, shape GenAI strategy, influence stakeholders, and enhance operational efficiency in healthcare.

The Senior Product Manager will define product strategy, manage cross-functional teams, and enhance healthcare solutions through innovative API management and client collaboration.

As a Product Manager, you'll develop and commercialize a utilization management solution using LLMs, managing cross-functional teams and strategy while ensuring product-market fit and compliance with healthcare regulations.

The Senior Product Owner leads product roadmap execution for the Indicia UM suite, translating strategy into actionable initiatives, managing Agile teams, and ensuring high-quality delivery aligned with customer needs.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

The Senior Sales Executive will lead revenue growth in healthcare providers by developing strategies, managing relationships, closing sales, and meeting targets, while collaborating with account management.

As a Generative AI Engineer at MCG, you'll design and deploy applications leveraging large language models for healthcare, focusing on automation and efficient content creation. You'll collaborate with clinical editors and data scientists, engage in full-stack development, and continuously evaluate performance of AI tools.