Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own end-to-end product design for Gladly’s AI Agent Harness, including configuration, steering, evaluation, reporting, simulations, and oversight tools. Develop and maintain the shared design system, define solutions for ambiguous problems, prototype rapidly with AI-assisted tools, and elevate the quality of engineer- and AI-generated interfaces. This senior individual contributor role requires strong generalist product design skills, systems thinking, polished visual craft, and experience designing trustworthy, controllable AI-native experiences.

Own the full sales cycle across mid-market and enterprise accounts, with a strong emphasis on outbound prospecting, pipeline generation, account planning, consultative demos, and closing. Build relationships with prospects, develop new verticals, collaborate with partnerships and cross-functional teams, maintain accurate Salesforce pipelines, and drive ARR growth using consultative and challenger sales methodologies.

Supports client integrations, DevOps monitoring, ERP and practice management system transitions, and technical escalations. Builds and customizes Boomi processes, validates data flows, monitors integration health, investigates alerts, performs root-cause analysis, and resolves synchronization issues across APIs, databases, ERP, PMS, and SaaS environments. Communicates with client technical teams during incidents and migrations, coordinates fixes, documents recurring issues, and improves integration performance and reliability.

Owns the design, development, testing, deployment, and maintenance of production software. Builds C#/.NET backend services, Angular web applications, and .NET MAUI mobile apps; optimizes SQL Server databases; resolves production issues; improves reliability, security, performance, and observability; writes tests and documentation; participates in code reviews; and translates ambiguous business needs into maintainable technical solutions.

Manages sales growth across the Southwestern United States by developing sales strategies, managing existing accounts, acquiring new business, negotiating contracts, forecasting revenue, and meeting sales targets. The role requires B2B manufacturing sales experience, customer relationship management, market analysis, CRM reporting, trade show participation, and travel throughout the assigned territory. Candidates must be bilingual in English and Spanish and legally authorized to work in the United States without sponsorship.

Design, develop, test, and maintain Java-based enterprise applications and scalable REST APIs/microservices using Spring Boot. Work with relational databases, unit/integration tests, CI/CD, version control, and participate in Agile ceremonies. Support cloud deployments, debugging, code reviews, and collaborate with cross-functional teams.

Develop and deploy machine learning models for manufacturing use cases including predictive quality, machine failure prediction, and time-series pattern discovery. Work directly with customers to scope problems, validate solutions in live deployments, and translate successful analyses into product features. Collaborate with engineering, product, and customer success teams while applying statistics, optimization, generative AI, and agentic AI to deliver end-to-end solutions.

Own significant product areas from customer problem discovery through solution definition, prototyping, shipping, measurement, and iteration. Build AI-powered prototypes and production products using tools such as Claude and Cursor, engage directly with customers and commercial stakeholders, lead small squads, influence product direction, and contribute to an AI-native product engineering culture.

Leads end-to-end customer engagements integrating software with government data systems. Designs and builds custom workflows, translates ambiguous requirements into technical plans, debugs production issues in constrained environments, documents decisions, reviews code, mentors engineers, and makes delivery trade-offs. Requires customer-facing software engineering experience, data integration expertise, and willingness to travel to U.S. military installations.

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.