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

Design and execute data-driven credit, underwriting, and fraud strategies for money-movement products. Own policy lifecycle from hypothesis and testing to deployment and monitoring, build segmentation and forecasting models, partner with cross-functional teams, and balance risk mitigation with business growth.

Design, build, and operate scalable data transformation pipelines and dimensional models using dbt, SQL, and AWS. Implement infrastructure-as-code (AWS CDK), CI/CD, and query performance optimizations while ensuring data quality, governance, and collaboration with cross-functional and offshore teams.

Lead EXL's sports industry go-to-market and new business efforts. Develop strategy, co-create integrated digital and analytics solutions, build C-level relationships, win MSAs/SOWs, represent the firm publicly, and grow the sports portfolio across adjacent sectors.

Design and develop healthcare-focused instructional programs (eLearning, facilitator guides, simulations, job aids) by partnering with SMEs to ensure accuracy, compliance, and learner-centered application. Maintain curriculum documentation, measure training effectiveness, incorporate regulatory updates, and use authoring tools and multimedia to improve retention and speed to proficiency.

Lead go-to-market and growth for Data, Digital, and AI solutions in Insurance. Own end-to-end sales lifecycle, win large complex deals, build CXO relationships, orchestrate cross-functional teams, drive pipeline, revenue, profitability, and early-stage expansion to scale strategic client engagements.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Remote coordinator who schedules insurance appraisal appointments, supports homeowners with a photo-capture self-survey app, updates work order statuses, meets productivity targets, and communicates with managers, underwriters, agents, and policyholders to resolve issues and maintain quality.

Design, build, and operate production-grade, event-driven data pipelines (Kafka/Flink) on GCP to deliver model-ready features. Optimize BigQuery SQL and Parquet performance, develop Python data workloads (Polars/Pandas), deploy ML pipeline components on Kubeflow/Vertex AI with Docker, design event store architectures, and collaborate with ML and platform teams while documenting architecture and standards.

Lead design and build scalable autonomous and semi‑autonomous multi‑agent AI systems. Implement RAG pipelines, tool‑calling agents, memory, observability, and AgentOps. Ensure production readiness, safety, governance, and secure data handling. Provide technical leadership, mentor engineers, and shape platform standards across teams.

Lead Data Engineer builds and maintains scalable data pipelines and lakehouse/warehouse platforms (Databricks) to support analytics, BI, reporting, and AI. Responsibilities include data modeling, ETL/ELT, medallion architecture, orchestration and monitoring (Airflow/Cron), performance tuning, CDC/incremental loads, data quality, and leading/mentoring a team while collaborating with stakeholders and maintaining documentation.