Top Tech Jobs & Startup Jobs in Chicago, IL

Leads Circana’s global benefits strategy, governance, compliance, budget, vendor relationships, administration, systems, and employee experience. The role centralizes regional benefits operations, oversees global regulatory requirements, supports M&A integration, manages brokers and carriers, partners with HR Technology and Finance, and builds a scalable benefits team and operating model. The leader will use AI and automation to streamline transactional processes while improving strategic, data-driven benefits delivery across multiple countries.

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.

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.

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.

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.