Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead the Core Analytics team, manage data engineering standards, design analytics architectures, and mentor team members while ensuring data integrity and analytics effectiveness.

The Director of Data Science will lead data science strategy, develop teams, and ensure ML systems meet clinical needs in healthcare.

Lead design and analysis of experiments to evaluate ML models, build monitoring dashboards, investigate model performance and data drift, estimate opportunity size, and measure models' contributions to company KPIs while partnering with data scientists and product stakeholders.

The Implementation Lead will oversee revenue cycle management implementations, collaborate with teams, ensure data accuracy, and enhance healthcare operations.

The Senior Product Manager will strategize and enhance SmarterDx's core product, engage with users, define metrics, and lead cross-functional teams.

The Senior Manager, Customer Success will manage customer relationships, drive solutions, and ensure client success in health tech implementations.

Lead and scale a remote revenue cycle solution engineering team to deliver secure, scalable integrations (HL7, FHIR, APIs, DB extracts) with large health systems (Epic, Cerner). Partner with Product, Engineering, Implementation, and Customer Success, manage complex deployments, drive architecture and tooling improvements, and provide hands-on escalation support and metrics for integration performance.

The Senior Product Analyst will analyze data to inform product strategy, develop analytics solutions, and communicate insights through visualizations, collaborating with cross-functional teams.

Lead design and delivery of advanced reports and dashboards for Customer Success leadership. Collaborate with data engineering and product teams to ensure data integrity, automate reporting, and present actionable insights that measure AI impact on hospital performance and revenue.

The Staff Site Reliability Engineer will lead the reliability of production systems by defining SRE practices, improving observability, and ensuring fault-tolerance in cloud environments.