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

The Machine Learning Engineer is responsible for designing, training, and optimizing ASR models for mobile devices, handling multilingual data, and collaborating on deployment with engineering teams.

Manage day-to-day office operations, budgets, and vendor relationships. Foster employee engagement through events and cultural initiatives. Ensure compliance and support office setups.

Manage product strategy for third-party integrations, ensuring data flow, improving user value, and executing against success metrics while collaborating cross-functionally.

As a Talent Acquisition Intern, you'll support recruiting for junior roles, manage pipelines, scheduling, and assist in employer branding and operations.

As a Frontend Engineer at Plaud, you will create innovative solutions using modern front-end technologies, with ownership of design decisions and development processes, contributing to both front-end and back-end tasks.

The role involves owning core lifecycle phases, defining strategy, leading experiments, analyzing data, and guiding specialists to improve user outcomes.

The role involves designing AI workflows, monitoring market and brand metrics, ensuring messaging compliance, managing influencer relationships, and analyzing competitor media. It incorporates project management and requires strong analytical and communication skills.

The Human-Computer Interaction Designer will create prototypes for AI wearable devices, collaborating with engineering teams to ensure functionality and design feasibility while iterating on concept designs.

Lead product analytics for the Teams product: define and run analyses, design metrics and experiments, build dashboards, and translate insights into product recommendations across cross-functional and cross-region teams.

Monitor and analyze growth metrics across acquisition, activation, engagement, and retention. Build and maintain dashboards and reports, support design and validation of growth experiments, identify drivers of metric changes and anomalies, and collaborate with cross-regional analytics stakeholders to ensure analytical consistency.