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

Design polished, high-fidelity visual interfaces across mobile and web, build and evolve the design system, create prototypes, and collaborate with designers, engineers, and product managers. The role emphasizes typography, layout, color, motion, reusable components, visual quality, and translating brand identity into product UI. The designer will also contribute to design culture and processes while working hands-on in a fast-moving environment.

The Financial Analyst will manage accounts payable from invoice intake through payment, including expense coding, payment cycles, AP aging, vendor schedules, reconciliations, accruals, and financial reporting. The role will investigate discrepancies, support month-end close, improve cross-functional purchasing processes, and automate finance workflows. Over time, the analyst will contribute to cash forecasting, budgeting, financial analysis, and finance systems projects.

The Product Director will lead the video product strategy and execution, collaborating with teams to enhance creators' video content creation and sharing experience.

As a Product Manager at Cantina, you will oversee the web product's roadmap, collaborate with global teams, and define user workflows for video editing.

Own the architecture, roadmap, and production operation of search and recommendation systems across discovery surfaces. Lead retrieval, ranking, personalization, relevance measurement, experimentation, OpenSearch infrastructure, signal pipelines, and candidate generation. Partner with Product, Data, ML, and Trust & Safety to balance relevance, freshness, safety, latency, and cold-start behavior. Establish engineering standards, instrumentation, rollout processes, and runbooks while mentoring backend engineers.

Build and productionize large-scale TTS and adjacent speech models end-to-end: model architecture, training, alignment, evaluation, data curation, distributed GPU scaling, latency/cost profiling, tooling, and safety/mitigation for speech systems.

Design, deploy, and scale low-latency inference infrastructure for generative audio models (TTS, ASR, voice conversion). Build high-performance inference engines, Kubernetes-based autoscaling, CI/CD pipelines, observability, and GPU optimization to bridge research and production for streaming and batch workloads.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

Build and ship state-of-the-art speech systems end-to-end: model architecture, training (pre-train/fine-tune/post-train), evaluation, tooling, data curation, production inference, and safety/abuse mitigation for voice conversion and related tasks.