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

The Senior People Business Partner will guide HR strategies, support talent management, enhance organizational performance, and oversee employee development initiatives.

The Staff Infrastructure & Automation Engineer will design and operate cloud-based infrastructure, enhance product reliability, collaborate with teams, and coach engineers while utilizing innovations in AI and analytics.

The Senior Business Analyst will represent US Market workers' compensation insurance, support product development, and collaborate on feature design and implementation while ensuring customer needs are met.

The Pricing Solution Consultant will engage with clients to provide pricing solutions, support the sales cycle, and demonstrate software capabilities. They will leverage technical and business skills to address client challenges and collaborate with internal teams.

Join a team focusing on end-to-end ML Ops for the insurance sector. Develop and deploy ML solutions, build infrastructure, and solve business challenges using advanced technologies.

The Senior Solution Architect drives sales strategy, collaborates with clients and teams, and leads software evaluations to achieve sales goals. Requires extensive experience in software sales and strong strategic planning.

The Pricing Sales Executive drives the market success of Guidewire's PricingCenter by leading sales initiatives, engaging with clients, and collaborating on a strategy for pricing and analytics products.

As a Technical Account Manager, you will build relationships with cloud customers, guiding them through implementation to optimize their use of Guidewire's solutions. Responsibilities include customer advocacy, service management, and operational support, requiring strong communication and project management skills.

The Workday Technology Manager will lead technical management of the Workday platform, oversee integrations, support optimization efforts, and manage a team of Workday professionals while driving continuous improvement initiatives and compliance audits.

As a Senior Machine Learning Platform Engineer, you'll architect a scalable ML platform, collaborating with teams to ensure compliance, optimize performance, and guide best practices in ML workflows.