Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads Ford’s enterprise Identity and Access Management strategy, platform modernization, Zero Trust adoption, and AI-powered identity security. The role oversees scalable, highly available identity services across workforce, customer, partner, workload, vehicle, and AI agent ecosystems. Responsibilities include cloud-native engineering, automation, Infrastructure as Code, CI/CD, SRE, governance, executive communication, and building a global platform engineering team supporting 24/7 operations.

Leads legal strategy and execution for complex domestic and international transactions, including mergers, acquisitions, divestitures, joint ventures, strategic alliances, and commercial agreements. Advises senior executives on transaction risks and business objectives, negotiates with global counterparties, manages legal teams and outside counsel, and oversees cross-functional workstreams. Develops legal playbooks and technology-enabled processes while supporting automotive initiatives involving electrification, software, energy, autonomy, and defense programs.

Lead transaction-focused counsel supporting domestic and international mergers and acquisitions, divestitures, joint ventures, strategic alliances, commercial agreements, and global supply chain matters. The role involves drafting and negotiating agreements, advising business leaders on legal and commercial risk, managing outside counsel, coordinating global legal teams, and improving transaction processes through templates, automation, and legal technology.

Design, build, deploy, operate, and monitor highly available Java and Spring Boot backend applications integrated with GCP services and Informatica IDMC. Develop API- and event-driven solutions, dataflows, and MDM integrations using domain-driven, hexagonal, and CQRS patterns. Lead requirements decomposition in an Agile environment, apply behavior-driven testing, mentor teammates, guide projects through deployment, and contribute to engineering practices and shared learning.

Own the end-to-end non-vehicle commerce experience across Ford.com and Lincoln.com, including cart, checkout, pricing, promotions, and order confirmation. Lead product strategy, roadmap, funnel optimization, omnichannel web and mobile experiences, and dealer pickup journeys. Manage and mentor a Product Manager, influence broader product practices, leverage data and AI, and collaborate with engineering, design, analytics, operations, legal, and marketing teams.

Performs ISO 26262 functional safety analysis for software-enabled vehicle systems from concept through production. Develops safety analyses, ratings, concepts, requirements, and documentation; identifies hazards; supports safe system design; applies systems engineering, MBSE, and SysML practices; and collaborates with global cross-functional engineering teams to improve traceability, technical quality, and safety processes.

Leads Ford’s multi-touch attribution team and enterprise marketing measurement capability. Responsibilities include managing eight employees, vendor relationships, data pipelines, analytics intake, taxonomy governance, data quality, statistical validation, causal inference, dashboards, and reporting. The role uses GCP, Python, and SQL to automate attribution workflows, evaluates marketing effectiveness, oversees budgets and contracts, partners with media agencies, and communicates insights to technical and business stakeholders. It also promotes AI/ML and generative AI adoption while ensuring privacy, policy compliance, and alignment with Marketing objectives.

Leads enterprise AI portfolio governance, including stage-gate standards, operating cadences, executive reporting, cross-functional councils, execution oversight, dependency resolution, recovery plans, and benefits validation. The role holds AI initiatives accountable for delivery, adoption, schedule, and value outcomes while escalating risks and coordinating leaders across legal, HR, Finance, Product, Engineering, and data governance functions.

Leads Ford’s enterprise AI transformation portfolio, progressing initiatives from sandbox experiments to functional programs and enterprise bets. Oversees portfolio health, workflow redesign, change management, executive communications, learning and development, adoption measurement, and enablement ROI. Coordinates HR, business units, internal teams, agencies, and vendors to drive workforce upskilling, process transformation, and measurable AI adoption across the enterprise.

Design, build, deploy, and operate scalable cloud-native microservices and APIs (Java/Spring Boot) on AWS/GCP and Kubernetes. Build event-driven systems with Kafka, ensure reliability via TDD, CI/CD, monitoring, and performance testing, and collaborate with cross-functional teams to deliver production services at global scale.