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

Lead technical delivery for Life Insurance and Annuity engagements: design solutions, architecture reviews, produce technical docs, guide onshore/offshore teams, enforce code quality, drive automation and AI tool adoption (GitHub Copilot, Claude Code) and integrate systems and APIs.

Lead go‑to‑market and close enterprise deals for AI/GenAI healthcare solutions across payers, providers, PBMs, and life sciences. Own revenue targets, shape solutions with architects and product teams, run POCs and demos, craft proposals and pricing, and present ROI/value to CXO stakeholders.

Design and implement reinforcement learning models and sequential behavioral models to optimize collections and treatment strategies. Build scalable ML pipelines (Databricks), run simulations and offline policy evaluation, and collaborate with stakeholders to deploy adaptive decisioning systems under uncertainty.

Hands-on AI internship supporting agentic AI solutions, prototypes, and analytics for insurance and healthcare. Collaborate with AI engineers and business leaders to define AI workflows, build metrics, analyze operational data, craft business cases, and support GenAI/LLM experimentation and productization.

Prepare, generate, and review outgoing audit letters; monitor delivery confirmations and reprocess failures; respond to provider chats and emails; report system/workflow issues; meet quality and productivity standards; comply with HIPAA and confidentiality; escalate and follow up on issues; perform other duties supporting the audit process.

Design, build, and maintain scalable Java/Spring Boot backend services; implement event-driven systems with Kafka (producers/consumers, stream processing); design and optimize caching with Redis and in-memory strategies; perform performance tuning and bottleneck analysis; take end-to-end ownership of components, debug production issues, and collaborate in fast-paced environments while enforcing code quality and reusable designs.

Design, build, and maintain scalable batch and real-time feature pipelines and transformations. Ensure feature quality, validation, SLAs, and pipeline performance. Collaborate with Data Science and ML Engineering, support ingestion, deployment, monitoring, and issue resolution, following feature store and platform best practices.

Contact policyholders via phone, SMS and email to schedule insurance appraisals, assist homeowners with the ASSIST photo-capture app, update work order statuses, meet productivity and quality goals, prioritize tasks, and report issues to management.

Lead architecture and delivery of a cloud-native, petabyte-scale data platform: define technical roadmap, mentor engineers, build ETL/ELT pipelines, enable real-time streaming, implement Iceberg table format, optimize Snowflake/Redshift/Athena compute, and integrate observability with Splunk.

Work remotely to schedule insured appointments, collect documentation, and perform insurance premium audits per client requirements and quality standards. Maintain productivity, use MS Office for reporting, and adhere to company processes and timelines.