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

Lead and mentor a client-facing analyst team to design, implement, and scale prior-authorization decision automation for PaaS clients. Consult on strategic roadmaps, translate client requirements into technical blueprints, collaborate with product and engineering, optimize processes and analytics frameworks, build visualization reports from authorization and claims data, and ensure client KPIs and end-to-end automation success across the customer lifecycle.

Lead client-facing engagements to design, implement, and optimize prior-authorization decision automation for PaaS customers. Translate client needs into technical blueprints, collaborate with product and engineering, build dashboards and analyze authorization data, track KPIs, and drive continuous improvement and scale across the customer lifecycle.

As a Healthcare Analyst II, you will analyze healthcare data to optimize strategies, conduct quantitative analysis, and provide insights for clinical interventions, partnering with cross-functional teams.

Operate and maintain AWS-hosted MERN applications and large-scale data workflows. Manage serverless and Spark-based pipelines, perform incident response and on-call duties, engineer automation to eliminate operational toil, ensure HIPAA/SOC2/HITRUST compliance, build observability and lead blameless post-mortems.

Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead executive relationships with large health plan clients, own strategic account plans, identify and close expansion opportunities, drive cross-functional collaboration, advocate client priorities internally, and ensure successful delivery and exceptional client outcomes.

Lead end-to-end implementations for payer and provider customers, manage cross-functional teams, partner with sales and product to scope launches, track project schedules and risks, build repeatable playbooks, and nurture customer relationships to ensure successful deployments and expansion.

Partner with stakeholders to gather and document data requirements, translate needs into user stories and technical specs, perform SQL-based data analysis, source-to-target mapping, and validation, support data quality, lineage, and monitoring, serve as primary requirements contact, contribute to Agile ceremonies, assist change management and rollout, and maintain operational and client documentation.

Lead full‑stack engineering efforts to design, build, and operate production healthcare systems. Own epic-level features, mentor engineers, design for reliability and scalability, integrate with partners, and ensure launch readiness across backend (Java/Groovy), frontend (React/TypeScript), data (MongoDB), and event-driven pipelines (Kafka).