Top Tech Jobs & Startup Jobs in Los Angeles, CA

Guide enterprise customers in designing, securing, administering, and deploying Databricks environments on AWS. Architect scalable infrastructure, networking, identity, and security solutions; support pre-sales engagements through proofs of concept and technical content; and provide technical leadership, training, tutorials, and community contributions. The role requires expertise in AWS, distributed data architectures, infrastructure automation, programming, SQL, and customer-facing technical consulting, with travel up to 30%.

Provides technical leadership and pre-sales guidance for Databricks Customer Lake implementations. Designs customer data, CDP, Lakehouse, identity resolution, audience activation, personalization, and agentic AI solutions; leads executive engagements, workshops, demos, POCs, and technical collateral. Partners with account teams, GSIs, and consulting organizations to drive adoption, influences product roadmaps, handles tier-three escalations, improves qualification processes, and mentors field teams.

Customer-facing engineer who designs, builds, and productionizes GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, collaborate with product and engineering, present at conferences, and optimize/evaluate models and deployments across cloud platforms.

Leads global marketing planning, investment allocation, capacity modeling, and target setting. Builds and manages a new team while redesigning marketing workflows for AI and agent-based execution. Drives organization-wide adoption, establishes standards for prompts and context, and implements AI governance around quality, risk, privacy, and responsible use. Partners with Marketing, Finance, Sales Strategy, and data and platform teams to improve pipeline efficiency, time to market, and growth across business units.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Lead customer-facing technical engagements involving discovery, solution architecture, platform demonstrations, proofs of concept, and data engineering, analytics, and machine learning solutions. Build production-quality code and reusable technical assets, guide account-level technical strategies, explain competitive differentiation, and partner with account executives to expand Databricks adoption.

Leads Databricks’ AI transformation strategy with enterprise C-suite executives and strategic partners. Builds trusted-advisor relationships, co-creates AI transformation roadmaps, and oversees execution, deployment, operating models, and value realization. Develops repeatable executive engagement and co-sell programs, leads C-suite workshops, and establishes an external AI Transformation Expert Advisory Council. Requires extensive enterprise digital and AI transformation leadership, C-suite engagement, industry expertise, operating-model development, systems-integrator collaboration, and sufficient technical credibility.

Leads technical strategy and product adoption for major Retail and CPG enterprise accounts as Databricks’ primary technical voice. Partners with account executives, guides customers through data and AI transformations, builds technical champions, aligns solutions to business strategies, and mentors team members. Requires extensive pre-sales, big data, cloud, data science, programming, and production data systems experience.

Develop and execute marketing strategy for Databricks’ venture-backed startup segment. Own positioning, messaging, content, demand generation, account-based, partner, developer, and field programs that drive pipeline, adoption, consumption, and revenue. Build relationships with venture firms, accelerators, founders, developers, customers, and strategic partners. Improve product-led conversion from trials and technical evaluations to committed production spend, while enabling sales teams and strengthening technical credibility through content, communities, and events.