Top Tech Jobs & Startup Jobs in Austin, TX

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.

Serve as strategic partner to senior client stakeholders, translating complex syndicated and modeled datasets into actionable, revenue-driving insights. Lead problem scoping, end-to-end analysis, executive storytelling, and cross-functional collaboration to expand solution adoption, coach team members, and support account growth and renewals. Hybrid role in Chicago (2 days onsite).

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.