Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead and evolve global social media and corporate blog strategy, partnering with teams to create compelling stories that engage audiences and enhance brand presence in the AI space.

As an Applied Data Scientist II, you'll enhance Elastic's conversational platform by evaluating agent workflows, improving retrieval accuracy, collaborating across teams, and leveraging AI to drive product decisions based on data insights.

The role involves leading initiatives for time series solutions, developing features in Elasticsearch, collaborating with a global team, and optimizing data structures and algorithms.

The Senior Analyst, Technical Accounting and Financial Reporting will handle SEC filings, technical accounting analysis, and collaborate with various teams. Responsibilities include financial reporting, implementation of new standards, and supporting audits.

The role involves managing IT governance and security projects, analyzing requirements, improving processes, ensuring compliance, and effective stakeholder communication.

You will lead product management for Elasticsearch, focusing on team growth, technical product strategy, customer engagement, and market analysis.

The role involves leading technical discussions on Elastic's Observability solutions, designing custom implementations, and providing thought leadership in OpenTelemetry. In addition, the architect will develop workshops, maintain technical documentation, and represent Elastic at various events.

As a Senior Technical Consultant, you'll deliver Elastic solutions, drive customer value, create proofs-of-concept, and collaborate with teams to optimize Elastic Stack implementations.

Drive adoption of AI-powered search solutions, develop new business opportunities, and deepen engagement with mid-market accounts while positioning as a trusted advisor.

The Director of Customer Data Strategy will lead data governance and strategy, ensuring accurate customer data and driving enterprise-wide adoption of data standards, while building and mentoring a high-performing data team.