Top Tech Jobs & Startup Jobs in Los Angeles, CA

Assesses and optimizes product performance through metrics, dashboards, user research, behavioral analysis, and stakeholder feedback. Recommends product enhancements, documents findings, serves as a product subject matter expert, supports pilot and early-adopter programs, develops product documentation, educates stakeholders, and helps diagnose product issues throughout the lifecycle.

Lead enterprise AI initiatives as a principal engineer and solution architect. Design, prototype, and deploy scalable generative AI, RAG, agentic AI, and predictive solutions. Translate business needs into technical requirements, evaluate technologies and vendors, conduct architecture reviews, and establish AI engineering, trust, safety, monitoring, and compliance standards. Mentor engineers and guide responsible AI practices across customer-facing products and internal operations.

Lead strategy, commercialization, go-to-market planning, roadmap and lifecycle for an assigned health IT solution portfolio. Manage financial planning, build business cases, drive customer and partner relations, ensure regulatory alignment, collaborate cross-functionally, recruit and lead teams, and partner with Data & Analytics to create commercial solutions.

Supports sales and account management teams by positioning healthcare technology solutions, conducting prospect discovery and vetting, answering technical integration questions, leading RFP/RFI responses, representing the company at industry events, and advising customers on network requirements, standards, use cases, and implementation effort. The role also communicates market insights and future product needs to product innovation teams.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

The Senior Data Scientist leads data-driven initiatives, optimizing analytics for business decisions, mentoring staff, and ensuring data quality across healthcare projects.

Lead technical design and delivery of enterprise AI solutions (generative AI, RAG, agentic AI, predictive models). Own architecture, deployment, responsible AI standards, vendor evaluations, prototyping, CI/CD/LLMOps, monitoring, and mentor engineers while aligning solutions to business outcomes and regulatory best practices.