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

Designs and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, and SQL. Supports SQL Server, SSIS, SSRS, Azure, data warehousing, reporting, analytics, and AI/ML workloads. Responsibilities include optimizing performance and reliability, implementing data quality controls, integrating enterprise data sources, modernizing platforms, and partnering with business and IT teams to deliver scalable data solutions.

Lead the design, development, deployment, and monitoring of production AI/ML applications for dairy-farm intelligence. Responsibilities include data wrangling, feature engineering, model selection, experimentation, MLOps, agent evaluation, observability, fine-tuning, AI governance, and integration with cloud infrastructure. The role also drives AI adoption, establishes engineering practices, collaborates cross-functionally, and may build React and TypeScript user experiences.

Designs, develops, and maintains Databricks-based ETL pipelines, data integration solutions, data warehouses, and reporting datasets. Builds batch and streaming architectures using Python, Spark, SQL, and Delta Lake; optimizes performance and costs; migrates legacy SSIS and SQL Server processes; maintains SSRS reports; implements data quality controls; and collaborates with business and technical teams supporting analytics and AI/ML workloads.

Leads the strategy, roadmap, governance, configuration, integrations, and optimization of Oracle HCM Cloud and connected People applications. Partners with HR, Finance, Digital, Security, and global stakeholders to prioritize enhancements, manage releases, ensure data quality and compliance, oversee testing and adoption, and drive automation using AI/ML. Mentors application analysts and promotes scalable, sustainable platform standards.

Leads end-to-end architecture for cloud applications and platforms, including landing zones, developer platforms, security, governance, cost optimization, data platforms, integrations, observability, resilience, and modernization. Partners with engineering, security, product, data, and enterprise architecture teams to establish standards, guide implementation, review designs, and lead migration initiatives. Provides technical mentorship and promotes cloud-native, platform engineering, SRE, and engineering best practices.

Modernize and develop a large-scale React Native mobile application with reliable offline-first functionality, local data storage, synchronization, BLE device integrations, scalability, and strong performance. The role includes shaping architecture, improving engineering practices, collaborating cross-functionally, mentoring developers, providing technical leadership, and visiting customer farms to understand workflows. Requires extensive mobile development experience and occasional U.S. travel.

Leads URUS beef sales strategy, commercial growth, value-chain development, and customer engagement across North America, while supporting international markets. Oversees sales plans, budgets, training, performance metrics, Beef × Beef and Beef × Dairy programs, Leachman sales operations, strategic accounts, and global business development. The role manages sales teams, develops market opportunities, strengthens genetics offerings, and collaborates across operating companies and international partners.