Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads strategic relationships with media platform clients, serving as the senior day-to-day client leader. Translates analytics into actionable media targeting, measurement, optimization, and performance recommendations; leads workshops, business reviews, and readouts; coordinates cross-functional delivery; monitors adoption and client satisfaction; and supports retention, renewals, account growth, and product innovation.

Drives growth for a beverage manufacturer client by selling Circana’s data and software solutions, translating analytics into actionable consumer and market insights, and strengthening client relationships. The role collaborates with insights, product, and analytics teams; maintains CPG and retail expertise; ensures data quality; supports client success; and contributes to workflow and service improvements.

Leads client growth by connecting Circana’s data, software, and analytics solutions to strategic business needs. Manages the full consultative sales cycle, develops executive relationships, delivers insight-led recommendations, and identifies revenue opportunities. Partners cross-functionally with product, analytics, and client insights teams while translating complex datasets into clear business narratives. Maintains CPG and retail industry expertise, manages pipeline and revenue targets, champions client success, and provides market feedback to support innovation.

Lead client insights and sales by analyzing POS and consumer panel data, creating compelling presentations with actionable recommendations, engaging in consultative selling to expand accounts, leveraging Circana platforms, collaborating cross-functionally, and meeting revenue targets.

Manages strategic client relationships and identifies opportunities to expand accounts using Circana data and software solutions. Translates complex consumer and point-of-sale data into actionable insights, recommendations, training, and presentations. Collaborates with Client Insights, Product, and Analytics teams, maintains technology industry expertise, manages sales pipelines, achieves revenue targets, and advocates for client needs while ensuring satisfaction and long-term success.

Supports office supplies manufacturer clients through recurring reporting, custom analyses, presentations, and strategic recommendations. Translates complex consumer and market data into actionable insights, uses Circana platforms to deliver solutions, identifies account-growth opportunities, manages sales pipelines, meets revenue targets, and collaborates with Client Insights, Product, and Analytics teams to ensure client success.

Leads Circana’s global Order-to-Cash and revenue accounting organization, overseeing billing, collections, cash application, revenue recognition, close activities, controls, and dispute resolution. Drives global process standardization, automation, systems improvements, cash conversion, and working capital optimization. Partners with Commercial, Legal, Treasury, IT, FP&A, and regional controllership teams while developing KPIs and transformation strategies. Provides leadership to global revenue operations, accounting, and collections teams and ensures compliance with U.S. GAAP, ASC 606, SOX, and audit requirements.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include architecture, modern C++ development, MPI/OpenMP query execution, SIMD and hardware optimization, distributed networking, database internals, in-database machine learning, vector indexing, performance tuning, code reviews, mentoring, and resolving scalability issues across large-scale clustered systems.

Design and develop massively parallel distributed database kernels for real-time analytics at terabyte and petabyte scale. Responsibilities include low-level C++ development, MPP query execution, SIMD and hardware optimization, distributed communication using MPI and RDMA technologies, database internals, vector indexing, in-database machine learning, performance tuning, architecture reviews, mentoring, and resolving scalability issues.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include query execution, columnar storage, transaction management, cluster coordination, hardware-aware optimization, SIMD vectorization, RDMA networking, in-database machine learning, vector indexing, performance tuning, architecture reviews, code reviews, mentoring, and resolving scalability issues.