Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead design and productionization of decisioning systems that impact pricing, offers, routing, and economics. Build models, heuristics, optimization logic, and evaluation frameworks. Design and run production experiments, translate business objectives into measurable decision systems, create feedback loops linking model and product outcomes, and partner with engineers to ship model-backed logic and configurable rules. Use AI to accelerate work and balance rigor with rapid iteration.

Design, scale, and harden the platform by evolving cloud architecture, building IaC and automation, improving reliability and observability, securing CI/CD and toolchains, and partnering with engineering teams to remove toil and enable scalable, event-driven systems.

Design, build, deploy, and optimize production AI/LLM systems and workflow platforms. Create evaluation and experimentation frameworks, translate business needs into scalable solutions, improve retrieval/prompting/agent behavior, and ensure observability, reliability, and measurable business impact while accelerating AI adoption across teams.

Lead cross-functional AI adoption: identify high-leverage opportunities, prototype AI-powered workflows, build lightweight internal tools, create reusable patterns/templates and guardrails, enable non-technical teams with onboarding and training, and partner with AI platform to operationalize solutions.

Own end-to-end conference logistics and field marketing for 20–30 industry events annually. Manage booth setup, vendor coordination, staffing, event assets, pre/post event campaigns, internal stakeholder prep, ROI tracking, and cross-functional sales alignment. Also produce collateral, run hosted networking events, and build scalable event infrastructure.

Lead design and build of greenfield ERP and Salesforce integrations, own money-movement and payment logic, make architectural decisions, write production backend code, document standards, and act as a hands-on technical lead shaping team and systems.

Design and own clinical data extraction architecture and document intelligence pipelines to ingest, parse, normalize, and enrich unstructured and structured healthcare data at scale. Build resilient ingestion and extraction services, establish data quality standards, influence cross-functional technical strategy, and mentor engineers to improve clinical data availability for product and analytics.

Build new AI-enabled product experiences from 0 to 1 with a backend-heavy focus: design APIs, backend systems, data flows, integrations, and React frontends. Prototype rapidly, harden working solutions, collaborate cross-functionally, use AI in development, and own product-quality through testing and instrumentation.

Lead end-to-end client implementations from sales handoff to go-live. Manage client relationships, timelines, integrations, configurations, data setup, and cross-functional coordination. Build scalable playbooks, automate processes, track metrics, and ensure clients are launch-ready with training and documentation. Continuously improve time-to-go-live and operational efficiency.

Build, deploy, and optimize production AI/ML and LLM-driven decisioning systems for claim offer generation and negotiation. Own end-to-end model development, evaluation, experimentation, and operational reliability while balancing fairness, business objectives, and product requirements.