Top Tech Jobs & Startup Jobs in Seattle, WA

Manages client relationships and sales growth for Circana’s candy category practice. Translates syndicated data, consumer insights, and analytics into actionable recommendations, develops insight-led solutions, manages sales pipelines, achieves revenue targets, and identifies expansion opportunities. The role requires consultative communication, advanced analysis, industry expertise, and effective use of Circana platforms and analytical tools while partnering with clients and cross-functional teams.

Analyzes consumer, shopper, and market data to identify trends, risks, and growth opportunities. Translates complex findings into presentations, visualizations, recommendations, and client-ready insights. Supports client meetings, cross-functional solution development, relationship building, and engagement expansion while developing expertise in Circana’s data assets and platforms.

Recruit high-volume roles by partnering with field managers and HR, developing sourcing and interview strategies, screening candidates, and managing the hiring process. Use traditional and advanced sourcing techniques, including Boolean searches, while maintaining ATS data integrity. Build relationships with candidates and stakeholders, lead recruiting discussions, and contribute to process-improvement projects in a dynamic remote environment.

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.

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.