Top Tech Jobs & Startup Jobs in Los Angeles, CA

18 Days AgoSaved
Remote
United States
161K-222K Annually
Senior level
161K-222K Annually
Senior level
Healthtech • HR Tech
Lead product strategy and execution for data and AI platforms, driving GenAI/LLM initiatives, cross-functional collaboration, responsible AI governance, experimentation (A/B testing), measurement of model impact, and mentoring product teams to embed scalable ML capabilities into clinical and member experiences.
Top Skills: Advanced AnalyticsAgentic AiAi InfrastructureCloudData EngineeringData ScienceDeep LearningEnterprise SaasGenerative AiLarge Language Models (Llms)Machine LearningOnline Controlled A/B Testing
Reposted 18 Days AgoSaved
Remote
United States
68K-104K Annually
Mid level
68K-104K Annually
Mid level
Healthtech • HR Tech
The Operations Associate II will manage training onboarding logistics, facilitate training sessions, support providers, and optimize operational processes within the Provider Enablement team.
Top Skills: Google SuiteSalesforceWorkrampZendesk
Reposted 19 Days AgoSaved
Remote
United States
234K-350K Annually
Expert/Leader
234K-350K Annually
Expert/Leader
Healthtech • HR Tech
The Global Controller oversees financial integrity, compliance, and strategic leadership, managing accounting, procurement, and facilities for Lyra Health.
Top Skills: Erp SystemsIfrsSec ReportingSox ComplianceU.S. Gaap
22 Days AgoSaved
Remote
United States
134K-184K Annually
Senior level
134K-184K Annually
Senior level
Healthtech • HR Tech
Lead design and deployment of repeatable sales, BDM, and provider engagement playbooks; standardize enterprise sales journeys and proposal/RFP processes; improve pipeline hygiene, conversion, and follow-through; equip field teams with tools and workflows; align Marketing, Sales, Customer Success, and Product; analyze deal friction and coach leaders to drive consistent commercial execution.
24 Days AgoSaved
Remote
United States
143K-197K Annually
Senior level
143K-197K Annually
Senior level
Healthtech • HR Tech
Lead design, training, fine-tuning, and deployment of ML and generative models (LLMs, diffusion). Build scalable MLOps pipelines, vectorization and data ingestion, integrate models into microservices for low-latency inference, implement evaluation/alignment/bias-mitigation, optimize models (quantization, distillation), and mentor engineers while influencing the AI product roadmap.
Top Skills: AWSCeleryDiffusion ModelsDistillationDockerJavaKotlinKubernetesLlmsLow-Latency DatabasesMicroservicesMlops FrameworksProtobufPythonQuantizationRagRelational DatabasesVector Databases
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