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

The Technical Account Manager will manage the technical relationship with enterprise customers, drive successful product launches, troubleshoot technical issues, and identify expansion opportunities.

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

Lead full-cycle recruiting for technical roles, collaborate with hiring managers, manage talent pipelines, and enhance recruitment processes and employer branding.

Embed with enterprise customers to design, build, and deploy production-grade voice AI systems. Own end-to-end deployments across cloud, VPC, and on-prem environments, troubleshoot integrations and performance, prototype scalable solutions, and translate customer needs into platform improvements.

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.

Build low-latency, scalable model inference and serving infrastructure for SSM foundation models. Translate research into production, develop high-parallel data processing and evaluation pipelines, and ensure performance, reliability, and observability for large-scale distributed systems.

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.