Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, deploy, and manage machine learning models supporting client acquisition, retention, and reactivation. Develop Next Best Action, CRM, paid media, and personalization solutions using LLMs and traditional ML. Design and interpret experiments, analyze large-scale datasets, communicate recommendations to stakeholders, and collaborate with product, design, and engineering teams on product and infrastructure roadmaps.

Advises legal customers on adopting and integrating Relativity’s AI platform. Builds relationships with lawyers, leads tailored demonstrations, supports pre-sales, onboarding, training, workflow transformation, and value realization. Translates AI capabilities into practical legal use cases, gathers customer feedback for product teams, and develops scalable engagement best practices. The role requires a practicing or former attorney with litigation knowledge, strong communication skills, and hands-on experience with legal AI tools.

Design and deliver enterprise-grade Generative AI solutions on AWS using Bedrock and AgentCore. Architect LLM-based applications, RAG pipelines, agentic workflows, vector DB integrations, and APIs. Optimize models for performance, cost, and quality, ensure security and governance, lead teams, and troubleshoot production GenAI systems.

Lead experimentation and decision science initiatives from problem definition through recommendations. Design and analyze A/B tests, quasi-experiments, matched-market tests, and causal inference studies. Apply advanced statistics, regression, predictive modeling, machine learning, and big-data analysis using Python, R, SQL, and PySpark. Partner with stakeholders, communicate actionable findings, build reproducible workflows, and mentor analysts and junior data scientists.

Advise private equity sponsors and portfolio companies on technology strategy, due diligence, cybersecurity, cloud modernization, M&A integration, carve-outs, and managed services. Lead executive engagements, solution development, strategic pursuits, proposals, presentations, and business cases connecting technology investments to value creation. Support client relationships, thought leadership, practice development, and transitions from sales to delivery.

Arrange domestic and international corporate travel, including air, hotel, ground transportation, rail, and limousine services. Support multiple client accounts, enforce travel policies, use preferred suppliers, and provide first-level customer and technical support. The role requires expertise in Amadeus, airline ticketing rules, international fares, exchanges and reissues, online booking, customer service, and Microsoft Office. Advisors must maintain accuracy, productivity, professionalism, and strong communication while working independently and collaboratively.

Lead enterprise payer and MSO sales from prospecting through signed agreements. Sell AI value propositions to health plans and value-based care organizations, manage complex 9–18 month procurement cycles, conduct proof-of-performance deployments, and convert pilots into paid engagements. Own territory strategy, pipeline accuracy, executive relationships, and commercial feedback to product and clinical teams.

Lead chef-facing brand activations, product demonstrations, tastings, masterclasses, and culinary events across national gourmet markets. Serve as a technical and culinary expert for IRCA Group products, translate product features into practical applications, build chef relationships, support sales priorities and product launches, coordinate the Promoter Program, and provide market insights. The role is non-commercial, focused on brand visibility, demand creation, and product adoption, with approximately 50% national travel.

Build and maintain client-facing dashboards, embedded analytics, and reporting solutions using Power BI and related tools. Translate client needs into metrics, data models, visualizations, and insights. Validate data accuracy, support governance and privacy standards, document solutions, train users, and respond to reporting questions. Collaborate with data engineers, customer success, product, engineering, and business stakeholders while supporting AI-enabled reporting and predictive analytics for life sciences clients.

Provides technical customer support by triaging and resolving issues involving RelationalAI, Snowflake, Azure, databases, and graph technologies. Troubleshoots logs, stack traces, performance problems, environments, and client applications; communicates with technical and executive stakeholders; collaborates with Sales, Field Engineering, Product Management, and Product Engineering; and improves support processes, tools, products, and customer experience.