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

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering work; lead technical discovery and architecture discussions; manage agile delivery, testing, production readiness, adoption, and stakeholder alignment. Partner with sales, executives, engineers, and customers to deliver measurable outcomes, establish maintenance plans, and identify future opportunities.

Own and scale Databricks Marketplace operations, including partner onboarding, transaction approvals, catalog integrity, marketplace health, deal desk support, and retention initiatives. Build automations, AI-assisted workflows, and operational tools using Python and related technologies. Coordinate with Product, Engineering, Sales, Marketing, and Field teams to improve marketplace performance, reduce friction, and support go-to-market growth. This individual contributor role may eventually build and lead a team.

Build and optimize distributed data-ingestion infrastructure for high-volume, petabyte-scale structured and unstructured data. Develop streaming, incremental processing, replication, CDC, observability, and Delta Lake capabilities while improving throughput, latency, reliability, and cost. Collaborate on RAG and AI-agent use cases, apply machine learning to streaming workloads, and build agentic SDKs with effective evaluations. The role requires production software development and architecture experience with large-scale asynchronous and distributed systems.

Drive enterprise sales of Databricks’ Data Intelligence Platform to Fortune 500 and telecommunications accounts. Build executive relationships, expand usage across business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and lead value-based solution selling. The role requires expertise in big data, cloud, SaaS, AI, and consumption-based sales motions, along with the ability to translate technical capabilities into business value.

Leads Databricks’ global Premier Support team, hiring and developing Designated Support Engineers who deliver technical advocacy and white-glove support to enterprise customers. Drives process improvements, performance KPIs, customer satisfaction, incident mitigation, and program enhancements. Partners with sales, field, product, engineering, and regional leadership teams, coordinates resolution of technical blockers, and conducts internal and external support experience QBRs.

Senior legal counsel supporting international channel and partner programs for a high-growth technology company. Responsibilities include drafting and negotiating partner agreements, developing scalable channel models, assessing compliance risks across jurisdictions, advising on privacy, security, AI, and intellectual property issues, creating training, and collaborating with commercial, operations, compliance, and business teams.

Leads tax technology transformation by designing Databricks-based data pipelines, automation, dashboards, AI use cases, and tax applications. Maintains integrations, reconciliations, reporting, forecasting, and calculation workflows while enforcing version control, CI/CD, documentation, and SOX controls. Partners with Tax, Finance Data, IT, and Engineering teams to translate requirements, support tax close, resolve data issues, and deliver reliable self-service solutions.

Lead the technical direction and delivery of Genie One across web, iOS, Android, macOS, and Windows. Build shared frontend infrastructure, native capabilities, authentication and governance systems, and reusable cross-platform patterns. Improve architecture boundaries, testing, release automation, telemetry, performance, and security while mentoring engineers and driving complex customer-facing projects from definition through adoption.

Lead customer technical strategy for Databricks, designing scalable data engineering, machine learning, AI, streaming, and real-time analytics solutions. Advise senior technical stakeholders, drive platform adoption and consumption growth, lead architecture discussions, build customized competitive solutions, coordinate cross-functional resources, and influence product direction. The role requires strong Python and SQL skills, cloud deployment experience, Databricks expertise, and the ability to translate complex technical architectures into business value.

Own the full revenue accounting close cycle, including journal entries, reconciliations, usage reviews, flux analyses, ASC 606 assessments, financial reporting, audit support, and process improvements. The role requires investigating contract and system data, applying judgment to non-standard arrangements, building automation with SQL or scripts, using AI tools, and collaborating with Revenue Operations, Deal Desk, Billing, FP&A, and engineering teams.