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

Owns the financial economics and operations of Databricks’ multi-cloud platform spend. Responsibilities include driver-based forecasting, cloud cost attribution, unit economics, efficiency KPIs, infrastructure roadmaps, automated FP&A workflows, cost allocation, accruals, and reporting. The role partners closely with Cloud Engineering and Infrastructure Operations and uses billing and telemetry data to improve forecasting accuracy, gross margins, and cost visibility across products, regions, and cloud providers.

Leads finance strategy for AI products, including GPU supply and demand planning, cloud capacity procurement, product pricing, unit economics, margin analytics, KPI development, cost allocation, ROI analysis, and capital allocation. Partners with Engineering and Product executives, builds scalable financial systems, and develops a high-performing product finance team.

Provides advanced, customer-facing technical support for strategic Databricks customers. Troubleshoots Spark, SQL, Delta, streaming, ML, and AI performance issues; performs root-cause analysis; develops proofs of concept, monitoring solutions, playbooks, and knowledge resources; trains customer teams; and collaborates with Field Engineering, R&D, Sales, Product, and NOC teams. Serves as a trusted technical advisor and advocates for customers. Requires approximately 20% travel.

Runs Databricks’ startup program, including applicant evaluation, tracking, automation, founder engagement, technical assessments, and internal tooling. Builds AI-powered workflows, discusses models, agents, data, and automation with founders, and communicates insights to Product and Databricks Ventures. Organizes founder and investor events in San Francisco, develops relationships with venture firms, represents Databricks in the startup ecosystem, and grows into broader startup strategy and ownership.

Own SAP S/4HANA FICO implementation governance and post-go-live continuous improvement for global accounting. Lead configuration, requirements, testing, data migration, master data governance, close-process automation, SOX controls, and cross-functional finance systems integration. Design how SAP accounting data flows into Databricks, enabling reporting, analytics, anomaly detection, predictive accruals, reconciliation automation, and AI use cases.

Build features for the Databricks platform as part of a collaborative engineering team. Interns manage projects from design through coding and feedback while learning to develop scalable, high-quality, secure infrastructure and products. Opportunities span full-stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing engineering teams. Participants receive dedicated mentorship and join a summer 2027 intern or co-op cohort.

Join Databricks as an Associate Product Designer in the 2027 new graduate cohort. You will collaborate with engineers, product managers, researchers, and customers to design platform features from discovery through implementation. Responsibilities include customer research, ideation, prototyping, usability improvement, data-driven decision-making, and communicating design perspectives. The role emphasizes enterprise technology, AI-enabled design workflows, visual hierarchy, information architecture, and solving complex, ambiguous problems collaboratively.

Product Design Intern will collaborate with product managers, engineers, customers, and designers to develop Databricks platform features. Responsibilities include conducting customer research, identifying user needs, managing projects from discovery through prototyping, applying user-centered design methods, performing usability testing, and communicating design decisions to cross-functional partners. This is a 12-week paid summer internship.

Leads technical strategy for large enterprise accounts, guiding customers through Databricks adoption and data-driven transformation. Partners with account executives, builds executive relationships and technical champions, presents solution strategies, coordinates virtual teams, supports ML and AI use cases, and mentors other team members. Requires pre-sales experience, enterprise account leadership, cloud and data expertise, and production programming experience.

Own the brand content strategy and AI-era search visibility program. Create, edit, and optimize content for LLM discovery and citation, identify visibility gaps, manage internal and external contributors plus AI agents, and establish brand context, prompts, and editorial guidelines. Lead GEO/AEO and SEO analysis, oversee content quality across formats, connect content roadmaps to business priorities, measure performance, and enable marketing teams on AI visibility best practices.