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

The Startup Account Executive will prospect for and close new startup accounts while expanding existing customer relationships. Responsibilities include building territory plans, prioritizing accounts, communicating the Databricks Lakehouse vision, managing transactional and strategic sales cycles, achieving pipeline and revenue targets, and maintaining accurate Salesforce and Clari records. The role requires at least one year of closing experience, preferably in big data, cloud, or SaaS sales, along with a demonstrated history of exceeding quotas.

Own full-cycle recruiting for Corporate Functions roles across AMER, including Finance, Legal, People, Workplace, and corporate leadership. Partner with senior leaders on sourcing strategy, market mapping, compensation positioning, workforce planning, and closing strategies. Build talent pipelines, engage passive candidates, use hiring data and metrics, deliver an excellent candidate experience, and support diverse workforce growth in a fast-scaling technology company.

Design and implement distributed systems for cross-region replication and disaster recovery of Lakeflow pipelines. Responsibilities include ensuring consistency, idempotency, causal ordering, failover, failback, metadata reconciliation, observability, recovery simulation, and failure-injection testing. The role requires building reliable, production-quality solutions for streaming and batch data pipelines while contributing to a long-term technical vision.

Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.

Data Science Interns will use Databricks business and operations data to generate insights for product design, customer acquisition and retention, and engineering efficiency. Responsibilities include collaborating with cross-functional stakeholders, applying statistical and machine learning methods such as causal inference and recommender systems, managing end-to-end projects, presenting findings, and deploying algorithms. Candidates will work with SQL and Python and pursue a quantitative Master’s or PhD degree.

Lead the architecture and long-term technical direction of Databricks AI Runtime, a serverless GPU training platform. Drive reliability, observability, developer experience, GPU efficiency, orchestration, scheduling, data loading, checkpointing, and multi-node training capabilities. Partner with research, product, customers, and engineering teams to resolve complex technical trade-offs, anticipate GPU and workload trends, mentor senior engineers, and deliver scalable, cost-effective AI infrastructure.

Leads global pipeline strategy, executive pipeline governance, and Sales Development capacity planning. Builds pipeline targets, coverage models, operating cadences, compensation frameworks, and career architecture for xDR teams. Partners cross-functionally across Sales, Marketing, Partnerships, Product GTM, and Programs to improve pipeline generation and executive decision-making. Uses AI, automation, analytics, and strategic reporting to optimize workflows, productivity, and account coverage.

Leads Americas Sales Finance as a strategic partner to sales and finance executives. Analyzes regional performance, investments, pipeline, capacity, productivity, and operating leverage to guide growth and profitability decisions. Builds complex financial and operational models, translates data into executive recommendations, partners with Sales Strategy and Operations, and represents Americas insights in broader GTM decisions. Also develops and leads a high-performing finance team.

Lead Databricks’ product and corporate PR strategy across launches, partnerships, customer stories, financial announcements, and acquisitions. Secure high-quality media coverage, develop executive communications, create press and thought-leadership content, manage agency relationships, and collaborate with marketing, product, corporate development, legal, and executives. Use AI and agentic workflows to improve communications efficiency. The role also requires crisis communications, reputation management, and strong relationships with journalists and media creators.

Leads R&D product finance, capital allocation, ROI measurement, engineering economics, workforce and location planning, and finance operations. Partners with Engineering, Product Operations, People, Workplace, and Facilities executives to optimize human and compute capital investments. Builds scalable financial workflows, supports procurement, accruals, headcount planning, and SOX compliance, modernizes reporting using Databricks, and develops a high-performing finance team.