Top Tech Jobs & Startup Jobs in Los Angeles, CA

The AI AppSec Engineer V will secure AI solutions, mentor teams, and ensure the integration of security into AI development lifecycles. Responsibilities include threat modeling, code analysis, and contributing to security policies.

The Owner Representative Accounting Specialist oversees financial stewardship, ensuring property financial oversight, compliance, and operational decision support through financial analysis and reporting.

Lead payroll and payroll tax operations for the U.S. and Canada, ensuring accurate, timely payroll processing, tax filings, year-end reporting, reconciliations, compliance, and controls. Partner with HR, Benefits, Finance, and vendors, manage systems implementations and improvements, build and lead a high-performing team, and establish scalable payroll processes to support organizational growth and operational continuity.

The Risk and Quantitative Solutions Analyst provides analysis for portfolio construction decisions, advises on risk characteristics, and develops risk frameworks for Fixed Income and Multi-Asset portfolios.

Lead product planning, requirements, and delivery for advisor-facing digital tools. Partner with stakeholders and engineering, write user stories and acceptance criteria, run UAT, track adoption and metrics, and drive continuous improvement and launches across enterprise platforms including Salesforce and internal workflows.

Support investment professionals with bottom-up fundamental research and analysis, including financial modeling, industry and company research, drafting reports, meeting with management and sell-side experts, creating charts/visualizations, and contributing investment ideas. Receive mentorship and work on increasingly complex projects across small- and mid-cap coverage.

Lead Data Governance and Data Enablement teams within Investment Operations to design scalable governance frameworks, improve data quality, enable self-service, and drive AI-enabled solutions. Partner with business and technology stakeholders, develop talent, and translate data strategy into actionable roadmaps that improve enterprise data management and insights.

As a Senior Machine Learning Engineer, you will architect and operate production AI systems, build agentic workflows, and develop scalable inferencing pipelines. You will also mentor junior engineers and establish engineering standards across projects using Databricks and AWS.

Lead portfolio strategy delivery and oversight for equities vehicles: exercise independent investment judgment, review and approve model designs and trades, monitor vehicle health and compliance, represent PSM internally and externally, and contribute to product development and scalable processes to evolve systematic portfolio construction and customization.

As a Lead Data Architect, you'll drive technology strategy and architecture for data platforms, ensuring scalability, resilience, and AI readiness while evaluating emerging technologies and providing thought leadership.