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

Design and build low latency, scalable model inference stacks for foundation models. Collaborate with research and product teams for robust infrastructure.

Provide technical, post-sales support for Cartesia's AI platform: triage and resolve API/SDK/integration issues, reproduce bugs, write runbooks and guides, participate in incident response and on-call rotations, and collaborate with product and engineering to improve reliability and customer experience.

Lead and grow a data team responsible for web-scale multimodal data infrastructure, SOTA pre-training datasets, and data-centric modeling; set technical direction, partner with research, and hire and mentor engineers and researchers.

The GTM Associate will drive outbound pipeline generation, develop account strategies for Fortune 500s, and contribute to GTM strategy while exceeding targets.

Identify, engage, screen, and manage world-class technical candidates for research, ML engineering, platform and product roles. Build talent maps and pipelines using academic conferences, publications, open-source communities and creative sourcing channels. Craft personalized outreach, deliver strong candidate experience, and partner with recruiting and hiring managers on strategic hiring initiatives.

Own post-sales for a large portfolio of startup and SMB customers: drive onboarding, product adoption, retention and expansion. Build scalable onboarding, education, and lifecycle programs, monitor customer health, create playbooks and enablement content, and partner with Sales, Product, Engineering, and Marketing to improve the customer journey and product based on feedback. Use automation and AI to scale operations.

This role involves leading data strategy and managing a team to build and maintain multimodal datasets, ensuring data quality and pipeline efficiency.

As a Forward Deployed Engineer, you'll lead customer deployments and translate AI solutions into high-performance systems, with autonomy in crafting these solutions.

As a Researcher, you will focus on advancing post-training methods and systems for multimodal models, including preference optimization and evaluation frameworks.

As Evaluations Lead, you will design evaluation frameworks for AI models, develop metrics and studies, and ensure assessment of intelligent behavior nuances.