Top Tech Jobs & Startup Jobs in Los Angeles, CA

Manage software engineering programs from requirements through production delivery. Coordinate cross-functional dependencies across engineering, data science, data engineering, DevOps, product, and external stakeholders. Track schedules, milestones, risks, critical paths, resourcing, quality, and release commitments. Improve engineering processes, identify delivery gaps, facilitate resolution, and ensure successful end-to-end product execution in a fast-paced environment.

Design user-centered solutions for complex healthcare intelligence products through research, ideation, wireframing, prototyping, documentation, and design-system development. Collaborate with product managers, engineers, and domain experts to support implementation, maintain consistency, and improve user experiences. The role requires strong UX/UI expertise, analytical problem-solving, communication, adaptability, and more than six years of experience.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Lead and transform the QA function for an AI-accelerated software organization. Define technical quality strategy, CI/CD gates, test-data approaches for PHI, and automation across unit, integration, and end-to-end testing. Build and grow a high-performing quality engineering team, set release standards and exit criteria, integrate AI/LLM evaluation with MLEs, and provide auditable metrics for leadership and regulators.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.

The Sr. Product Manager will oversee the transformation of pharmacy payment integrity through AI automation, design workflows, and collaborate with teams to enhance customer-facing analytics and operational processes.

The Senior Technical Data Product Manager will oversee the data product roadmap, collaborating with data engineering and architecture teams. Responsibilities include assessing legacy systems, developing product roadmaps, driving cross-functional deliveries, and ensuring technical requirements are met, aiming for swift execution and measurable impact.

Lead and grow the AI/ML Engineering team, manage core AI/ML platform development, ensure production-grade service operational excellence, and develop product strategies.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.