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

Technical lead for backend SaaS identity analytics: design and implement scalable Java/Go microservices, produce estimates and POCs, lead technical design and code reviews, and collaborate with architecture and principal engineers.

The role involves technical pre-sales responsibilities, collaborating with teams, conducting technical workshops, and providing feedback to product management while demonstrating SailPoint's AI solutions to potential clients.

The Senior Resource Manager will oversee staffing allocations, optimize resource utilization, and support project delivery, while fostering employee development and operational efficiency.

Manage and coach a sales engineering team, improve sales methodology, collaborate with sales directors, and enhance training programs to achieve business goals.

The VP of Engineering for the Enterprise Platform will lead engineering teams, define platform architecture, and drive innovation for identity security solutions at SailPoint.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

Design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems. Collaborate with teams to optimize AI pipelines and drive innovation.

The Enterprise Account Executive at SailPoint will sell Identity Security Solutions, exceed revenue quotas, and develop business plans. Responsibilities include managing customer relationships, collaborating with marketing, and leading sales cycles with a focus on customer service and competitive positioning.

The RVP Enterprise Sales leads a sales team focusing on exceeding revenue goals, managing personnel, providing support, and fostering client relationships.

Lead execution of strategy and roadmap for non-human (machine/agent) identity security products. Collaborate with engineering, design, marketing, sales and other product teams to define requirements, prioritize backlog, run discovery with customers, measure adoption metrics, support go-to-market, and represent the product at events. Drive product launches and continuous improvement for enterprise SaaS offerings.