Top Tech Jobs & Startup Jobs in Los Angeles, CA

Analyzes procurement and sourcing opportunities, develops value capture and cost reduction strategies, evaluates suppliers, supports contract negotiations and compliance, interprets spend and market data, and manages client workstreams. The role also involves digital procurement initiatives, client relationship management, budgeting and forecasting coordination, and mentoring junior team members.

Develop and lead martech software development workstreams using Adobe Experience Manager as a Cloud Service. Design, code, test, maintain, integrate, and troubleshoot applications across web, mobile, and platform tools. Translate business requirements into technical solutions, apply APIs, microservices, CI/CD, testing, and automation practices, manage delivery plans and budgets, and coach engineering teams. Support content enablement, personalization, analytics, consent, and broader marketing technology initiatives while identifying process improvements and leveraging AI-enabled development tools.

Leads customer managed services consulting engagements, advising clients on customer experience strategy, service operations, journey improvements, and scalable operating models. Oversees complex programs, guides multidisciplinary teams, analyzes service data and customer feedback, develops executive recommendations, manages client relationships, and coaches team members through ambiguity and change.

Advise health payer clients on modernizing operations, technology platforms, and operating models across claims, reimbursement, care management, customer service, and digital functions. Lead large transformation engagements, develop current- and future-state models, redesign processes, analyze performance metrics, coordinate business and technology stakeholders, coach teams, and present recommendations to senior decision-makers. Support client growth through solution development and market insights.

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

Leads Workday Financial Management implementations and finance transformation workstreams for clients. Manages project timelines, budgets, deliverables, risks, and issue resolution while guiding solution design, configuration, testing, deployment, integrations, reporting, controls, training, and adoption. Coaches consulting teams, reviews deliverables, manages client expectations, and identifies opportunities to improve financial planning, reporting, and operational efficiency.

Leads product strategy and lifecycle management for Azure-native software offerings, from concept through retirement. Sets product direction, translates market and client needs into roadmaps, drives commercialization and go-to-market planning, and guides cross-functional teams through architecture and delivery decisions. Builds executive client relationships, supports business growth, applies AI-native development practices and Azure capabilities, validates software quality and security, and mentors product and technology leaders.

Leads client-facing design and delivery of agentic and generative AI solutions on Azure. Oversees architecture, agent orchestration, RAG pipelines, LLMOps, deployment, testing, security, monitoring, and maintenance. Manages workstreams, budgets, timelines, and deliverables while coordinating with clients and engineering teams. Coaches engineers, reviews technical work, evaluates model behavior, and guides AI-assisted development using Python, C#, and modern AI tools.

Leads applied AI and health data architecture initiatives for payer clients. Designs cloud-native platforms, pipelines, data models, integrations, and modernization roadmaps across AWS, Azure, Databricks, and Snowflake. Oversees data quality, governance, anonymization, performance optimization, and legacy migrations while advising stakeholders on AI-ready architectures. Manages multi-team delivery, resolves technical issues, presents solution tradeoffs, and coaches practitioners.

Leads client-facing applied AI engineering engagements in healthcare, from solution design through deployment. Translates clinical and health services needs into AI requirements, architectures, and roadmaps; designs RAG, memory, prompt, and agent orchestration components; guides data, model integration, and cloud implementation; evaluates model performance; advises on AI platforms and governance; and develops LLMOps and AgentOps practices. Coaches teams, resolves delivery challenges, and communicates technical decisions to clients and leaders.