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

Build and lead FreedomCare’s enterprise leadership development system. Responsibilities include creating a leadership philosophy and competency model, assessing capability gaps, designing leadership pathways and onboarding standards, managing programs, budgets, vendors, technology, governance, and adoption, and measuring behavioral and business impact. The role partners with Talent Acquisition, Learning and Development, HR business partners, executives, and operational leaders to improve leadership effectiveness, succession coverage, mobility, retention, and organizational performance.

Manages the company knowledge base, SharePoint sites, LMS, learning pathways, compliance tracking, and training reports. Develops and maintains process documentation, job aids, communications, infographics, and e-learning materials using instructional design principles. Supports LMS troubleshooting, integrations, training sessions, content governance, and collaboration with subject matter experts and cross-functional teams to improve learning accessibility, engagement, and effectiveness.

Engages prospective home-care patients and caregivers through inbound and outbound calls, social media, and website inquiries. The role nurtures prospects, explains FreedomCare programs, collects and validates enrollment information, follows up with interested individuals, and supports the intake process. Success requires meeting individual and team performance targets while delivering empathetic customer experiences. The position is remote, Monday through Friday, and serves Arizona customers.

Provide high-touch support to senior leaders: manage complex calendars, coordinate meetings and travel, develop executive presentations, draft communications, track action items, implement efficiencies, use productivity and AI tools, handle confidential information, and support cross-functional initiatives and special projects.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Analyze large, complex datasets to generate actionable insights; build SQL queries and data pipelines; develop predictive models (regression, clustering, forecasting); create and maintain dashboards; ensure data quality and governance; collaborate with stakeholders to translate findings into business recommendations and document work.

Analyze large datasets, build SQL queries and data pipelines, develop predictive and statistical models, create dashboards, ensure data quality/governance, and translate insights into actionable recommendations for Marketing, Product, Operations, and Workforce teams.