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

As a Machine Learning Engineer, you'll own the design, development, and operation of production-grade ML systems in clinical workflows, ensuring model accuracy, reliability, and integration into patient-facing applications.

The Research Scientist will design and develop innovative machine learning models to improve clinical intelligence, driving research from concept to validated results while collaborating with clinicians and engineers.

Hands-on finance role supporting FP&A, budgeting, forecasting, vendor and spend management, invoicing, and finance operations. Build models, analyze performance, produce reports and dashboards, improve processes, and help scale the finance function while partnering with leadership and external finance partners.

The Product Manager will define product strategy, collaborate across teams to address healthcare challenges, and ensure successful product outcomes through metrics and customer feedback.

The Software Engineer will design and build backend systems and data pipelines for healthcare, integrate AI models, and ensure end-to-end feature delivery.

The Frontend Engineer will develop and architect the user interface and frontend architecture of a new AI-enabled clinical system, focusing on UX architecture and intuitive design to enhance patient care.

As a Site Reliability Engineer, you will manage the production environment, focusing on infrastructure design, automation, and optimizing deployment pipelines to ensure high availability.

Lead clinical sales support, customer implementations, account growth, and product feedback for a pharmacy intelligence platform. Serve as the pharmacy subject matter expert in demos, diligence, executive meetings, workflow discussions, and clinical quality reviews. Translate pharmacy expertise into customer guidance, product recommendations, reusable sales materials, and implementation processes while ensuring accuracy, patient safety, compliance, and effective communication with clinical, operational, commercial, and technical stakeholders.

Lead end-to-end healthcare SaaS implementation projects from kickoff through go-live and stabilization. Coordinate customer IT, clinical, operational, engineering, product, and integration teams; manage project plans, milestones, risks, documentation, KPIs, and technical requirements. Serve as the primary customer contact, drive accountability, support workflow adoption and change management, resolve integration blockers, and ensure smooth transition to support and customer success.