Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Product Manager will lead product development in Campaign Execution, define success metrics, and prioritize roadmap items to enhance customer engagement.

Lead mobile app attribution strategies, collaborating with teams across engineering and data analytics to optimize performance and feature implementation.

The Account Director for Travel will lead sales efforts targeting new and existing Travel clients, developing and executing strategic sales initiatives to grow revenue and establish long-term partnerships.

This role focuses on driving new programmatic advertising revenue by identifying and closing sales deals with in-house marketing teams in specific verticals, primarily e-commerce. Responsibilities include developing outbound sales strategies, managing pipelines using CRM tools, and collaborating with multiple teams.

The Programmatic Account Manager will manage client relationships, drive platform adoption and campaign management across App Install channels, ensuring performance optimization and revenue growth.

The Account Executive, B2B Sales will identify and close new platform sales deals, develop outbound strategies, and collaborate with internal teams to meet client needs. This role focuses on acquiring new clients in programmatic advertising, utilizing CRM tools for pipeline management, and ensuring client success post-onboarding.

Oversee a team of Performance Specialists to develop measurement and optimization strategies for high-impact marketing campaigns, ensuring operational excellence and driving client success through data-driven strategies.

The Senior Financial Analyst will focus on financial analysis to support strategic decisions, collaborating with teams to provide insights on revenue, expenses, and cost governance.

Lead the B2B vertical at StackAdapt, focusing on revenue growth, client partnership development, and overseeing a team of account managers to deliver exceptional marketing performance.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.