Top Tech Jobs & Startup Jobs in Los Angeles, CA

Designs end-to-end Forward Deployed Engineering curriculum projects for experienced production engineers. Responsibilities include defining technical infrastructure, databases, learning goals, submission guidelines, and assessment rubrics; evaluating current tools and deployment approaches; collaborating with instructional designers; and supporting sales and marketing enablement. The role requires real-world ownership of enterprise AI deployments from initial client engagement through production adoption, strong technical writing, and mentoring or teaching experience.

Own the Konnect Developer Portal self-service experience, including application registration, credentials, teams, and environments. Lead discovery, roadmap development, user research, prioritization, cross-functional delivery, and KPI tracking across API, AI, gateway, lifecycle, monetization, and onboarding capabilities. The role requires strong developer empathy, experience with B2B SaaS or platform products, and the ability to connect frontend UX, backend integrations, and system design.

Lead end-to-end enterprise Contract Lifecycle Management implementations, from discovery through post-go-live optimization. Translate legal and business requirements into scalable workflows, approval hierarchies, templates, clause libraries, playbooks, integrations, and data migrations. Advise customers on CLM governance, maturity, AI-powered contract use cases, and operational excellence. Lead UAT, quality assurance, stakeholder training, adoption, and implementation strategy while supporting complex project management responsibilities.

Lead a hands-on Site Reliability Engineering and DevOps team supporting production SaaS environments across Azure and AWS. Own availability, observability, automation, incident response, on-call operations, disaster recovery, and reliability improvements. Manage employees and contractors, coordinate Sev1 and Sev2 incidents, improve monitoring and deployment practices, report operational health, and expand support for FedRAMP High and other regulated environments.

Own a core product domain within Clarium’s healthcare supply chain platform, leading discovery, requirements, delivery, iteration, and product direction. Partner closely with engineering, design, data, sales, marketing, and customer success while engaging healthcare customers and stakeholders. Remove roadblocks, make tradeoffs, and establish product practices in a fast-growing startup. The role requires healthcare technology experience, enterprise workflow and integration expertise, and familiarity with driving change in large health systems. Epic integrations and AI-powered product experience are preferred.

Analyze operational, payment, enrollment, survey, and field data to identify fraud risks and anomalies. Design and validate fraud-risk indicators, support investigations, improve data quality, and translate findings into actionable recommendations. Partner with Product, Data Engineering, and operational teams to develop fraud-detection tools and improve controls. Document reproducible, audit-ready analysis while communicating uncertainty and findings clearly to nontechnical stakeholders.

Sells Labman’s commercially available laboratory automation products across the Western USA. Responsibilities include generating new business, managing pipelines and forecasts in Salesforce, leading full sales cycles, exceeding targets, attending industry events, developing strategic customer relationships, and collaborating with product, applications, and engineering teams. The role requires technical sales expertise, strong communication skills, a relevant bachelor’s degree, a clean driving license, and travel exceeding 50% across the territory.

Lead execution of product initiatives for clinical decision support and pathways: manage delivery from kickoff to rollout, handle inbound requests via Jira, coordinate alpha/beta releases, conduct customer discovery, translate prototypes into implementation-ready specs, and support FDA documentation and cross-functional communication across engineering, clinical, sales, and customer success.

Leads the design, development, deployment, and monitoring of advanced statistical and machine learning models for insurance pricing, underwriting, claims, fraud, retention, and growth. Advises executives and actuarial teams, establishes modeling and experimentation standards, ensures responsible and scalable productionization, and mentors data scientists. The role also advances MLOps, AI infrastructure, model lifecycle management, explainability, fairness, and data science strategy.

Test new web and mobile features, report bugs and usability issues, run manual and automated tests, review requirements and designs, improve QA processes and documentation, and provide UI/UX feedback while collaborating with product, design, and engineering teams.