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

Lead the design and architecture of large-scale reporting systems, mentor engineers, and drive technical initiatives. Collaborate across teams to enhance data accessibility and performance optimization.

The Senior Software Engineer will lead technical initiatives, design data-intensive applications, mentor engineers, and ensure the scalability and performance of reporting systems.

Lead design and development of a scalable, cloud-native accounting and analytics engine on AWS. Provide technical leadership, mentor engineers, drive architecture and best practices, build developer automation, ensure observability and high availability, and collaborate across product teams to deliver secure, high-performance production systems.

Lead Ridgeline's Finance organization—own company model, planning cadence, controllership, revenue quality, pricing, and capital strategy. Build scalable controls, AI-enabled systems, investor-ready reporting, and partner with execs and Board to guide growth.

The Staff Product Designer will focus on creating intuitive client reporting workflows and data intelligence experiences, collaborating with teams to improve product design and usability while mentoring junior designers.

The Sales Enablement Manager designs and delivers onboarding and continuous learning programs to enhance seller performance, collaborating with sales leaders, and using data to drive improvements.

Lead design and implementation of a next-generation performance and analytics platform. Build cloud-native services on AWS/Azure/GCP, optimize OLAP/columnar queries, model analytical data, enable large-scale analytics, and create developer automation and tests. Collaborate across design, strategy, and engineering to deliver scalable, production-grade solutions for investment performance and attribution reporting.

Design and build a next-generation performance and analytics platform using OLAP/columnar technologies and cloud-native services. Work across the full software lifecycle to optimize analytical queries, implement developer automation and automated tests, and collaborate with design and strategy to deliver scalable, high-performance investment analytics.

Lead end-to-end enterprise software implementations in the investment management space, ensuring alignment among cross-functional teams, managing risks, and fostering relationships with stakeholders.