Top Tech Jobs & Startup Jobs in Los Angeles, CA

The role involves managing AI agents for software delivery, crafting specifications, and reviewing AI-generated outputs to ensure quality and alignment with product requirements.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

The Staff Architect will define and scale Fusion's platform and integration strategies, ensuring scalability, security, and adaptability for enterprise SaaS workloads, while providing technical leadership across teams.

Lead the buildout of a new enterprise data platform, designing infrastructure, pipelines, and storage while ensuring data governance and quality.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Vice President of Product Management at Fusion Risk Management leads the product lifecycle, builds a world-class team, and champions AI adoption to drive growth and market leadership.