Top Tech Jobs & Startup Jobs in Los Angeles, CA

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

Leads global platform engineering for identity and access, portals, design systems, observability, monitoring, billing, and metering. Develops enterprise cloud and modernization strategy, establishes platform standards, drives adoption across business units, and oversees a 100+ person organization. Partners with senior executives globally to align shared platform investments with business outcomes, security, resiliency, innovation, and operational efficiency.

Leads product strategy and execution for strategic integrations across HCM, payroll, and related systems. Evaluates build, partner, integrate, and co-create opportunities; develops business cases; shapes scalable data connectivity; and drives discovery, prioritization, roadmaps, success measures, and delivery. Partners with alliances, technical teams, clients, and leadership to create integrated solutions and assess AI opportunities, including generative AI, LLMs, and agentic workflows.

Lead a portfolio of credit-based, data-driven consumer prospecting products for financial institutions. Define product strategy, requirements, user stories, positioning, pricing, and investment priorities while partnering with engineering, sales, legal, compliance, marketing, operations, and executives. Represent the product line internally and externally, support revenue growth, and help advance Experian’s Ascend platform strategy.

Define and execute the North America B2B email and identity data product strategy and roadmap. Lead product launches, prioritize opportunities using customer and market insights, monitor competition and emerging data use cases, and develop partnerships and integrations. Collaborate with Sales, Marketing, Support, regional and global teams on go-to-market plans and adoption. Manage people, engage senior stakeholders and clients, and represent products through thought leadership.

Designs and evolves enterprise data and AI platform architecture, enabling privacy-preserving cross-border data products, entity resolution, semantic standards, governed discovery, and AI-agent data access. Leads prototyping, reference implementations, technology adoption, and platform architecture decisions across engineering teams. Mentors engineers while applying expertise in distributed systems, cloud infrastructure, data modeling, governance, graph databases, and production operations.

Manage and grow a portfolio of Fintech clients while prospecting new accounts and expanding strategic relationships. Advise senior stakeholders on data, analytics, identity, fraud, risk, lending, decisioning, and software solutions. Identify opportunities across customer acquisition, underwriting, portfolio growth, and fraud prevention; align Experian capabilities to client objectives; collaborate internally to deliver integrated solutions and measurable business outcomes. Travel is required, and the role is fully remote.

Lead Experian’s global Digital Intelligence product portfolio, setting strategy and roadmap for device, behavioral, agent, and network-risk capabilities across web, mobile, and APIs. Manage global product leaders, guide fraud and automation detection capabilities, oversee SDK and data product evolution, and partner across engineering, data science, legal, privacy, design, and go-to-market teams. Own adoption, retention, revenue, pricing, packaging, and commercial performance while advancing AI-assisted product development.

Leads architecture for Experian’s AI-native developer experience platform. Defines agentic software delivery, developer portals, governed AI marketplaces, AI governance, knowledge grounding, and secure software supply chain standards. Builds reference implementations and connects CI/CD, Backstage, cloud landing zones, AI tooling, and security controls. Partners across engineering, security, and business units to establish technical direction, resolve cross-functional architecture decisions, and promote scalable platform adoption.

Lead the architecture and implementation of AWS cloud-native platforms for fraud detection, risk analysis, and digital intelligence. Design scalable, resilient, secure, low-latency REST and event-driven systems using Java, Kubernetes, Kafka, and SQL/NoSQL databases. Set technical strategy and architecture standards, mentor engineers, conduct reviews, and guide multiple teams. Partner with product, data science, security, and business leaders to embed AI and machine learning capabilities, while improving delivery, observability, compliance, and cost efficiency.