Top Tech Jobs & Startup Jobs in Los Angeles, CA

Advise clients on compensation strategy, pay structures, incentive programs, benefits, and total rewards. Analyze market and workforce data, develop job architecture and compensation models, interpret regulations, prepare recommendations, support client discussions, manage workstreams, review junior staff work, and build client relationships.

Leads Oracle Cloud ERP and EPM finance transformation initiatives for clients. Manages accounts, project workstreams, and consulting teams; analyzes financial data and trends; develops finance process improvements and technology solutions; oversees Oracle Financials and Hyperion implementations; mentors staff; manages stakeholder relationships; and ensures project quality, ethical conduct, and client success.

Leads client-facing enterprise and cloud security engagements across IaaS, PaaS, and SaaS environments. Responsibilities include cloud security architecture, control design, risk assessments, vulnerability testing, security reviews, threat monitoring, and coordinating network, endpoint, identity, and cloud infrastructure safeguards. The role translates technical findings into business-aligned recommendations, directs teams through complex challenges, coaches team members, and prioritizes critical risks for client decision-making.

Advise clients on compensation strategy, pay structures, job architecture, incentives, and total rewards programs. Analyze market and workforce data, develop salary ranges and recommendations, review governance practices, and prepare client presentations. Manage rewards consulting workstreams, oversee planning and delivery, resolve issues, and coach team members while ensuring quality and timelines.

Designs and develops Azure-based generative AI solutions, including conversational applications, retrieval-augmented generation pipelines, agent workflows, cloud-native microservices, and LLM evaluation systems. The role uses Python, Azure AI Services, Azure OpenAI, LangGraph, vector databases, and DevOps practices to deploy and maintain client solutions. Responsibilities also include managing workstreams, communicating technical tradeoffs, reviewing deliverables, mentoring junior colleagues, and collaborating with clients.

Leads customer analytics and experience consulting engagements, including segmentation, journey analysis, forecasting, predictive modeling, and transformation roadmaps. Advises clients on retention, loyalty, lifetime value, and personalized marketing strategies. Directs complex projects, presents data-driven recommendations, validates solutions with stakeholders, and coaches analytics and customer strategy teams. The role also applies customer data management, experimentation, and digital tools to improve decision support and business growth.

Leads Workday Adaptive Planning transformations for client organizations, including financial planning, budgeting, forecasting, reporting, solution design, configuration, integrations, and deployment support. Sets strategic direction, advises finance leaders, oversees multiple engagements, drives business development, manages executive relationships, develops market insights, and mentors delivery teams. The role combines enterprise performance management expertise with client advisory, team leadership, and growth responsibilities.

Designs and delivers Google Cloud, data modernization, and generative AI solutions for clients. Builds agentic workflows, retrieval-augmented generation systems, prompt engineering approaches, LLM integrations, vector database solutions, and AI-powered conversational applications. Develops Python components, applies LLM evaluation and LLMOps practices, translates business requirements into technical designs, manages workstreams, collaborates with stakeholders, and mentors junior team members.

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Build and optimize cloud-native applications on Google Cloud across the software development lifecycle. Develop generative AI solutions using Vertex AI, LLM APIs, Python, prompt engineering, RAG, LangChain, and LangGraph. Test application and model performance, support LLM evaluation and guardrails, translate requirements into technical components, and document implementation decisions for client teams.