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

Lead Laurel's community and events strategy to drive enterprise pipeline: own event execution, launch a Customer Advisory Board, create buyer and user community foundations, produce content and ABM-aligned experiences, and measure ROI and influenced ARR.

Design end-to-end enterprise SaaS experiences for professional services firms, translate complex workflows into intuitive interfaces, lead research and prototyping, collaborate with product and AI teams, and drive scalable, user-centered AI-enabled design solutions.

Lead and evolve Laurel's brand system across marketing, product, sales, and content. Define visual identity and AI-first design pipelines, art direct campaigns, produce assets, manage external creatives, and partner with product and marketing to maintain high craft standards.

The Enterprise Customer Success Manager will own post-sales relationships with strategic customers, driving product adoption and renewal efforts, while collaborating with internal teams to ensure customer satisfaction and value realization.

The GTM Systems Owner manages Salesforce and integrates various tools for the GTM team, ensuring data integrity and seamless workflows while troubleshooting issues and building documentation.

In this role, you'll leverage AI in marketing to enhance workflows, build AI agents, automate campaigns, and coach teams on AI tools, aiming to boost productivity and effectiveness while tracking ROI on initiatives.

The Senior Commercial Counsel will manage legal transactions, negotiate enterprise deals, lead a deal desk, ensure compliance, and leverage AI to enhance legal processes.

Join our AI Ops & Strategy team to optimize workflows using AI, focusing on product, engineering, and operations, while empowering teams with tools and training.

As a Staff Software Engineer, you will architect and develop solutions, mentor junior developers, collaborate with teams, and enhance software performance and security.

As a Senior ML Data Scientist, you will build analytics foundations, evaluate ML models in production, and deliver actionable insights to enhance product capabilities.