Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads an engineering team responsible for designing, building, and operating data security products and controls. Provides technical direction, hands-on engineering leadership, and delivery ownership across DLP policy, data discovery and classification, data access controls, policy-as-code workflows, automation, integrations, testing, deployment, reliability, and operational support. Translates data security requirements into scalable solutions while mentoring engineers and driving adoption of secure engineering practices.

As a Digital Product Manager, you will define and manage product strategies, collaborate with teams for product development, and utilize market research to meet customer needs while aligning with company goals.

Provides administrative and litigation support to California client legal services attorneys. Responsibilities include opening and maintaining lawsuit files, managing calendars and deadlines, scheduling depositions, preparing and filing pleadings, handling electronic correspondence, coordinating with courts and counsel, organizing documents, monitoring procedural requirements, and supporting settlement check issuance and file closure.

Design, build, deploy, and operate enterprise security controls as software products. Develop production code, APIs, backend services, and scalable cloud-based distributed systems while integrating security capabilities into development platforms. Apply test-driven development, continuous integration and deployment, and agile practices. Collaborate with product and engineering teams, evaluate emerging technologies, and improve security, reliability, adoption, and developer experience.

Build, integrate, and operate cloud-native security controls across infrastructure, data platforms, applications, CI/CD pipelines, and enterprise services. Develop CSPM and DLP capabilities, detection logic, automation, and incident-response mechanisms. Integrate controls with SIEM platforms, apply infrastructure-as-code and automated testing practices, and support reliable production operations. Collaborate with platform, application, and product teams to improve cloud security effectiveness and developer adoption.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Serve as a bridge between strategy and operations to translate enterprise priorities into measurable OKRs and executable plans. Drive cross-functional alignment, coordinate ATS domain activities, support senior leadership reporting and decision-making, mature the ATS operating model, and feed operational insights back into strategic planning.

Leads and develops an engineering team building and operating cloud security controls as software products. Provides technical direction through architecture, design, and code reviews; owns production reliability and continuous improvement; translates security risks into automated, scalable solutions; and coordinates roadmaps and dependencies with product, platform, application, and security teams. The role also drives agile delivery, secure engineering practices, mentoring, and adoption of reusable cloud security patterns across AWS, Azure, and GCP.

Leads complex property and casualty insurance reserving projects, evaluating reserve adequacy, volatility, emerging loss trends, and actuarial methodologies. Performs advanced reserve analyses using actuarial, statistical, and predictive modeling techniques; validates claims, exposure, and financial data; communicates results to leadership and business partners; develops reserve narratives; mentors less experienced staff; and supports business decisions through technical and thought leadership.

Leads strategy, discovery, delivery, evaluation, and continuous improvement for AI-enabled enterprise products and tools. Defines product roadmaps, user stories, KPIs, and evaluation frameworks covering reliability, accuracy, security, cost, and performance. Uses customer feedback, market analysis, and experimentation to prioritize features and validate assumptions. Partners with engineering teams, including colleagues in India, and translates complex AI concepts into scalable business value.