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

Design complex, data-rich trading workflows for investment management software, including order management, electronic trading, configurable workspaces, exception handling, automation, and AI-assisted experiences. Collaborate with product, engineering, and customers; prototype in Figma and AI tools; conduct research and usability testing; contribute to design systems; and mentor designers while delivering scalable, polished product experiences.

Lead and build Ridgeline's Product & Technology Operational Excellence function, unifying Product Ops, Engineering & QA Ops, and Project Management. Partner with senior leaders to translate strategy into execution, create operating models, governance, dashboards, and standards, oversee key technology initiatives, and apply AI/automation to improve efficiency and decision quality while developing high-performing teams.

Own and administer accounting and financial planning systems, including configuration, integrations, access, upgrades, implementations, data migration, and validation. Build finance dashboards and self-service reporting, automate manual processes using SQL, Python, and AI tools, and partner with Accounting, FP&A, IT, and Data & Analytics. Apply accounting knowledge across general ledger, AP/AR, close cycles, and revenue recognition while identifying opportunities to improve finance operations.

Own the discovery, delivery, governance, and roadmap for reporting data infrastructure, including the Reporting Engine, Report Builder data layer, and Historical Data Archive. Partner with engineering on distributed query platforms, curate trusted datasets, define cross-domain data concepts, write PRDs, support customer implementations, and address enhancements. Use AI tools throughout the product lifecycle while balancing technical, business, and customer needs.

Leads architecture and development of a production agentic AI platform. Defines technical strategy, engineering standards, reliability and model evaluation practices, and scalable AI capabilities. Designs RAG integrations, third-party data connections, model routing, tool use, and code execution systems. Partners across Engineering, Product, and Data to drive adoption, resolve technical challenges, and align AI investments with customer outcomes while contributing directly to product delivery.

Serve as R&D finance business partner for Product, Engineering, Design, Security and tech teams. Lead R&D budgeting, forecasting, long-range planning, cloud cost management, financial modeling, variance analysis, executive reporting, business cases, and process automation using AI-enabled tools while supporting accounting, procurement, and FinOps practices.

Designs and strengthens identity and access management by implementing RBAC, managing account and permission inventories, automating provisioning and de-provisioning, conducting access audits, developing security policies, leading IAM-related incident response, and maintaining technical documentation. The role requires collaboration across security and IT teams to support compliance with NIST, GDPR, ISO 27001, and other identity management standards.

The Senior Staff Total Rewards Partner will develop and manage total rewards strategies, including compensation, equity, and benefits, to support global growth and IPO readiness. This role involves partnering with multiple departments and shaping the company’s compensation philosophy and benefits strategy to attract and retain talent.

Build and evolve Ridgeline's AI data platform: design secure API integrations and MCPs, implement RAG pipelines and vector database solutions, scale distributed systems, enforce data lineage/access controls, and mentor peers while shaping AI platform strategy.

Lead architecture and execution of detection and response capabilities across AWS and broader infrastructure. Build AI-augmented detection/triage pipelines, design SIEM/SOAR ingestion and alerting frameworks, drive incident response for high-impact events, close detection gaps, mentor engineers, and set team standards for responsible AI usage.