Top Tech Jobs & Startup Jobs in Los Angeles, CA

Authors and maintains interactive web-based engineering education content, including lessons, activities, labs, questions, animations, and tools. Oversees external authoring projects, reviews content quality, collaborates with project managers and engineering colleagues, and contributes to roadmaps. Supports marketing and sales demos, responds to instructor feedback, and may publish research, articles, webinars, and blog posts.

Customer-facing technical engineer who leads PoCs/PoVs, implements and validates deployments, troubleshoots issues, builds representative environments for release validation, and captures feedback to improve product, delivery, and post-sales processes.

Own strategy and revenue for 5–7 strategic utility accounts, originating and closing complex enterprise software deals. Lead discovery, solution shaping, business-case development, procurement, negotiation, contracting, and expansion. Coordinate cross-functional pursuit teams, manage executive and technical stakeholders, maintain forecasts and pipeline discipline, and translate market feedback into product and go-to-market strategy. The role requires deep enterprise sales expertise, utility or regulated-industry familiarity, and the ability to sell technically complex AI and data platforms.

The Entry-Level Account Manager will manage healthcare client relationships, ensure satisfaction, and understand medical billing and credentialing processes.

Provides remote administrative, recruiting coordination, database management, marketing, event planning, and back-office support for a consulting firm. Responsibilities include scheduling interviews, coordinating travel, preparing proposals, managing calendars and expenses, updating ATS and CRM records, sending social media and email campaigns, and supporting conferences and client events. The role is a flexible independent contractor position requiring strong organization, communication, discretion, and proficiency with Microsoft 365 and business systems.

Own and grow a portfolio of existing client accounts by developing strategic business plans, expanding relationships, identifying upsell opportunities, managing renewals, and achieving revenue targets. Use purchase data, performance metrics, and statistical analysis to deliver measurable advertising ROI. Build executive-level relationships, conduct business reviews, identify churn risks, coordinate internal teams, and align product and analytics solutions with client objectives.

Investigate and resolve card, ACH, and mobile deposit disputes while managing chargebacks within regulatory and network deadlines. Analyze suspicious activity, transaction histories, behavioral patterns, and customer data to identify fraud and mitigate losses. Document clear, audit-ready determinations, apply payment rules accurately, and contribute to process improvements, risk management, and technology-enabled operational efficiency.

Own performance-driven creative strategy across paid social accounts, using research, consumer insights, platform data, and testing frameworks to develop and iterate high-converting concepts. Write performance copy, translate quantitative and qualitative feedback into creative decisions, collaborate with design, editing, and media buying teams, mentor junior creatives, and present strategy and performance rationale to clients.

Leads credit risk analytics for Prosper’s Credit Card business, overseeing underwriting, portfolio, pricing, credit line, fraud, and credit risk strategies. Uses machine learning, AI, and advanced analytics to manage growth while controlling losses within risk appetite. Presents recommendations to executives, the Credit Risk Committee, and investors; monitors performance and emerging trends; evaluates vendors and alternative data; and collaborates across Capital Markets, Product, Engineering, Legal, Compliance, Operations, and Marketing. Also builds and mentors high-performing credit risk teams.

Designs and delivers Databricks-based data engineering, analytics, AI, and ML solutions for financial services clients. Combines hands-on architecture and implementation with presales support, customer presentations, project oversight, data analysis, quality assurance, documentation, and team mentoring. Requires expertise in modern data platforms, cloud environments, programming, SQL, data integration, governance, security, and scalable production delivery.