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

The Senior Pre-Sales Solutions Engineer will drive technical pre-sales engagements, collaborate with sales teams, and create innovative solutions to meet customer needs while mentoring junior engineers.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The Associate General Counsel will negotiate and close enterprise agreements, provide legal guidance on various issues, and help scale the legal function in a rapidly growing AI startup.

The Staff Developer Advocate at Deepgram engages with the developer community, creates technical content, and builds reference apps to showcase Voice AI capabilities, driving thought leadership and community trust.

As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.

As a Solutions Architect at Deepgram, you will engage with customers to resolve technical challenges, build scalable solutions, and enhance support infrastructure. The role involves post-sales engagement, automation development, and collaboration with teams to improve customer experience and advocate for their needs.

Lead the product-led growth strategy for Deepgram's self-serve business, focusing on revenue growth, user experience, and cross-functional team alignment across marketing, product, sales, and engineering.

The Event Producer will oversee the execution of high-quality events in Deepgram's SF office, managing logistics, coordinating with various teams, and ensuring a seamless attendee experience.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.