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

As a Distributed Systems Engineer, you will design and operate distributed systems, handle production issues, and build innovative storage capabilities, balancing customer requirements and system performance.

The Lead Recruiter will build the talent function from scratch, manage the recruitment lifecycle, collaborate with hiring managers, and ensure a seamless candidate experience.

The Head of Community will manage UGLYCASH's online and in-person communities, create content, coordinate events, and influence product development through community feedback.

Design and execute high-throughput molecular assay development studies, write SOPs and Design History File documentation, perform NGS data analysis and interpretation, implement assays for production (automation, QC, LIMS), transfer and train CLIA operators, mentor lab staff, and collaborate across automation, bioinformatics, clinical, regulatory, and marketing teams.

The role involves collaborating with engineers and researchers to create impactful tools and systems in a high-velocity environment. Interns will enjoy ownership, flexibility, and the opportunity to work on AI-driven solutions.

The Account Manager will develop long-term client relationships, drive growth, and ensure alignment between client needs and organizational services through strategic planning and communication.

Lead commercial efforts as Founding Head of Sales, focusing on Go-to-Market strategy, closing Enterprise deals, and building a scalable sales team.

The Generative AI Engineer will develop AI-driven features for medical records, collaborating with teams to create systems extracting and generating clinical insights from EHR data, while ensuring accuracy and clinical relevance.

The role involves developing and executing new product features, collaborating with various teams, and influencing stakeholders, with a strong focus on B2B SaaS context.

Design, implement, and test features for an AI code review tool, while solving complex problems involving large codebases and LLM memory.