Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads a team evaluating healthcare print and document management opportunities. Establishes operational assessment frameworks, develops scalable workflows and implementation plans, directs financial modeling and pricing analysis, monitors KPIs, and governs data integrity and operational controls. Partners cross-functionally with Sales, Finance, Sourcing, Project Management, Operations, Inventory, Product Development, and Compliance teams to support profitable growth, onboarding, and implementation success.

Lead strategy, roadmap, and scaling of enterprise AI/ML platforms (including GenAI and agent frameworks). Enable cross-functional teams to build, deploy, govern, and operate production-grade AI solutions; define architecture and guardrails; track adoption, reliability, cost, and developer productivity; partner with Security, Privacy, Cloud, and vendor partners; and drive platform delivery through agile execution.

Supervise payroll professionals and oversee payroll and timekeeping operations, ensuring accurate, timely, and compliant payments. Manage payroll processing, audits, reconciliations, service escalations, manual checks, ACH transmissions, and payroll records. Support SOX and external audits, monitor payroll law changes, train staff, resolve complex issues, and drive continuous process improvements. Partner with Accounting and third-party collections while maintaining confidentiality and high service levels.

Supports complex healthcare print opportunities from discovery through implementation readiness. Gathers business, operational, technical, and fulfillment requirements; evaluates DAM integrations; documents workflows and future-state needs; analyzes customer data for savings and standardization; coordinates cross-functional teams; identifies implementation risks and dependencies; and develops readiness documentation with milestones, ownership, approvals, and timelines.

Build and deploy AI-enabled solutions for Marketplace operations and commercial challenges. Identify opportunities, frame ambiguous business problems, develop prototypes using enterprise data and AI/LLM tools, validate business value, and transition successful solutions into production. Partner with business, product, technology, and data teams; drive adoption, measure outcomes, coordinate initiatives, mentor team members, and enhance reusable platforms and frameworks.

Leads enterprise telecommunications operations, including voice, unified communications, contact center platforms, telecom expense management, carrier relationships, vendors, incidents, upgrades, and service delivery. Manages technical staff and cross-functional partners while overseeing budgets, invoices, reporting, performance metrics, cost optimization, system reliability, and lifecycle modernization across multi-site business locations.

Administer and engineer enterprise observability platforms spanning infrastructure, applications, cloud resources, and telemetry. Lead technical onboarding, monitoring design, alerting, dashboards, automation, integrations, troubleshooting, capacity planning, licensing optimization, upgrades, and migrations. Establish standards and documentation, collaborate with vendors and procurement, and mentor engineers. The role requires strong systems thinking, cloud and production support experience, scripting or infrastructure-as-code expertise, and the ability to resolve complex reliability and performance issues.

Designs and develops scalable full-stack eCommerce platforms using Java, Spring Boot, React, and TypeScript. Leads microservices and micro-frontend architecture, cloud-hosted platforms, distributed data and messaging solutions, streaming and batch pipelines, payment integrations, performance optimization, accessibility, and PCI-DSS compliance. Provides technical leadership, mentoring, architecture guidance, code reviews, documentation, and cross-functional collaboration.

Leads the strategy, roadmap, evolution, and enterprise scaling of AI/ML platforms, GenAI tooling, agent frameworks, and shared infrastructure. Partners with engineering, security, architecture, product, and business teams to deliver secure, reliable, governed, and cost-effective AI capabilities. Establishes platform standards, guardrails, success metrics, and responsible AI practices while managing vendors and accelerating production AI adoption across the organization.

Leads enterprise architecture and technical design for contact center modernization into an AI-first operating model. Defines cloud, application, integration, API, data, and AI architectures; evaluates technologies; governs APIs and event-driven systems; designs AI agents, copilots, RAG solutions, and omnichannel customer service integrations. Guides proofs of concept, architecture reviews, implementation, governance, and modernization while mentoring architects and engineers.