Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Pre-sales Solutions Architect who defines technical strategy and drives Databricks adoption across large enterprise accounts. Leads technical engagements, builds executive relationships and internal champions, mentors team members, and maps ML/AI use cases to Databricks solutions. Supports proofs-of-concept and guides production implementations.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Responsibilities include end-to-end system design, Spark-based data engineering, MLOps, cloud integration, stakeholder engagement, and delivering production-grade deployments with reusable assets and measurable outcomes.

Solutions Architect leads customer adoption of Databricks solutions, designs data systems, consults on big data architecture, and develops implementations.

The Strategic Account Executive will manage an enterprise client in the Public Sector, drive growth, build executive relationships, and exceed sales targets using solution-based selling.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.

Lead the AI strategy and roadmap for a scaled customer enablement agent suite: define data inputs, retrieval, agent behaviors, and evaluation loops; drive field rollout and adoption; structure knowledge for retrieval; define signals and analytics for account health; partner with engineering to embed enablement insights into field tools.

Hunt and close net-new enterprise accounts for Databricks by developing account strategies, engaging buying centers, articulating big data/cloud value, orchestrating cross-functional teams, and exceeding sales quotas.

Sell Databricks' Data Intelligence Platform into large CMEG enterprise accounts by building C-suite relationships, expanding footprint, driving pipeline and revenue, managing forecasts in Salesforce, and using solution-based selling to accelerate deals and adoption of Big Data, analytics, and AI use cases.