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

As Principal Product Manager, AI, you will define and execute the AI strategy at Drata, leading the development of AI-native experiences, collaborating with cross-functional teams, and driving the AI product vision while mentoring other product managers.

The Senior Platform AI Engineer will develop production infrastructure for AI features, focusing on server architecture, agent orchestration, and AI model lifecycle management. The role requires building efficient systems and collaborating with various engineering teams to optimize workflow and enhance deployment processes.

The Senior Applied Research Engineer will focus on improving AI systems through experimentation and research, collaborating with engineering teams to implement findings into production systems.

Lead and expand Drata's strategic partnerships with cloud service providers like AWS, focusing on partnership strategy, co-selling, and revenue generation.

The Head of Product, Assurance at Drata leads product strategy, execution, and team development for key product lines, influencing customer outcomes and business performance while managing cross-functional partnerships.

The Senior AI Product Engineer will develop AI features integrated into products, focusing on user experience, full-stack development, and collaboration with AI engineers, product managers, and design teams.

The Staff Software Engineer leads technical initiatives, designs scalable systems, mentors teams, and collaborates on product roadmaps to enhance reliability and security.

The Head of Pricing will design and implement innovative pricing strategies for AI-native software, lead the shift from traditional subscriptions to dynamic monetization, and collaborate across teams to enhance product pricing frameworks.

As a Senior Data Engineer, you will automate processes, optimize data handling, build data products, and govern data while mentoring junior engineers.

The Applied Research Engineer will enhance AI systems through research and experimentation, focusing on information retrieval and reasoning strategies, collaborating with engineering teams to transition validated methods into production.