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

The Customer Experience Manager at Sesame will build and lead the support function, design scalable support systems, mentor a team, and drive product improvements through customer insights.

Lead data collection and annotation initiatives for audio data at Sesame. Collaborate with teams to gather requirements, manage resources, and ensure quality delivery of data.

The Backend Infrastructure Engineer at Sesame will develop secure, scalable infrastructure, focusing on voice interface, automation, and systems design for efficient service delivery.

Design and build core infrastructure for ML training, develop audio processing pipelines, and set technical direction for the team.

As an iOS Engineer, you will build the Sesame app for wearable devices, collaborating with design and firmware teams to create a seamless user experience while maintaining code quality and performance.

Support two senior founders with high-level executive assistance: manage complex calendars, anticipate and resolve operational issues, prepare meetings and materials, coordinate domestic and international travel, act as primary liaison, handle confidential information, drive strategic initiatives, and improve processes across the organization.

Lead Sesame’s creative vision across campaigns, editorial, social, experiential, web, and product. Concept, write, and art direct work; run a small in-house content studio; manage external agencies and production partners; develop brand collaborations; and align creative across product, hardware, and marketing channels.

Build and maintain production data pipelines and infrastructure to prepare multimodal conversational, voice, sensor, and telemetry data for ML training and evaluation. Implement dataset versioning, lineage, quality monitoring, and tooling to enable reproducible, discoverable datasets and cost/performance-optimized large-scale processing while enforcing data governance and privacy.

The Hardware NPI Program Manager oversees the hardware development for consumer electronics from concept to mass production, ensuring cross-functional collaboration, managing schedules, budgets, and risks, while communicating with stakeholders.

As an ML Scientist, you'll develop and improve ML models, work on the ML stack, and innovate new approaches in NLP, Speech, and Computer Vision.