Top Tech Jobs & Startup Jobs in Los Angeles, CA

Customer-facing senior engineer who architects, implements, and productionizes end-to-end data and AI solutions on Databricks. Responsibilities include Spark-based distributed data engineering, ML/AI model integration, CI/CD deployments, technical project delivery, stakeholder engagement, reusable assets creation, and providing product/implementation feedback.

The Senior Customer Enablement Architect drives customer success through tailored training programs, partnering with sales teams and assessing skill gaps to enhance adoption and business outcomes for Databricks' products.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.

The role focuses on product marketing for Lakebase, requiring ownership of product messaging, content development, and collaboration with partners and sales teams to drive product adoption and awareness.

As a Hunter Solutions Architect, you will lead data engineering and data science initiatives while collaborating with sales teams to deliver architectural solutions for customers using Databricks' platform.

As a Named Core Account Executive, you will sell Databricks solutions to enterprise accounts, manage relationships with key stakeholders, and exceed sales targets while navigating complex sales cycles.

The Global Learning Operations & Transformation Manager will lead the transformation of operational efficiencies and AI-enabled workflows across Learning & Enablement, establishing a Global Center of Excellence to drive improvements in scalability and visibility of operational processes.

Design and deploy AI-assisted workflows and agents to automate territory design, account assignment, quota modeling, and headcount tracking. Replace spreadsheet-based planning with scalable code, automated data pipelines, and AI-prompt workflows. Build integrations between Salesforce, SQL databases, and Databricks to enable real-time GTM planning and execution.

Customer-facing engineer who architects and implements end-to-end Databricks data and AI solutions. Leads production-grade data pipelines, ML/AI model integration, and user-facing applications; manages technical scope and delivery, embeds with customers, contributes reusable assets, and provides product feedback to Databricks teams. Travel to customers ~20%.