Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Own and grow a portfolio of North American payments partners, including acquirers, banks, alternative payment methods, and fraud solution providers. Manage relationships, negotiate agreements, drive co-selling and joint go-to-market initiatives, generate partner-sourced pipeline, and convert commercial opportunities. Coordinate partner integrations and onboarding with Product, Sales, Customer Success, Legal, and Technical teams. Track partner health and KPIs, provide market intelligence, and lead QBRs, summits, and enablement activities.

Coordinate transshipment execution across areas, ports, terminals, feeders, vendors, and customer service teams. Plan and assign connections, align capacity with cargo volumes, manage schedule changes and rollovers, arrange haulage and storage, create feeder work orders and transport exceptions, update shipment systems, and communicate inspections and additional charges. The role requires systematic analytical thinking, maritime or logistics knowledge, strong communication, negotiation skills, and fluent English.

Support a global 24x7x365 security operations team by monitoring systems and networks, investigating threats and incidents, responding to phishing, malware, breaches, and cyberattacks, deploying countermeasures, analyzing post-event activity, assessing vulnerabilities, and improving security protocols. The role requires familiarity with cloud security controls, network protocols, operating systems, scripting, web technologies, penetration testing tools, and threat intelligence.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).