Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Define standardized product health, usage, and telemetry metrics across Circana’s product portfolio. Lead instrumentation standards, prioritize self-service dashboards, surface delivery and risk signals for roadmap governance, and align data definitions across product teams. Partner with product and technology stakeholders, direct cross-functional technical resources, and continuously refine portfolio health standards. The role is remote, primarily internal-facing, and requires minimal occasional travel.

Supports pricing, profitability, revenue growth, and commercial decision-making through financial and operational analysis. Responsibilities include analyzing margins and business performance, supporting RFPs and contract renewals, reviewing commercial agreements, using CPQ for subscription billing and revenue recognition, maintaining data quality controls, preparing business reports, and improving pricing processes. The role collaborates with Client Development, Finance, Legal, Product Management, Technology, and senior leadership.

Leads strategic procurement initiatives from sourcing strategy through negotiation, implementation, and supplier management. Partners with Technology, Legal, Finance, and business leaders to conduct RFPs, analyze spend, evaluate suppliers, negotiate contracts, reduce costs and risk, and improve supplier performance. Develops data-informed recommendations, manages category strategies, supports software rationalization and supplier consolidation, and tracks measurable procurement outcomes with limited oversight.

Develop and expand CPG client relationships by translating syndicated consumer, retailer, and household purchase data into actionable insights. Collaborate with internal teams to deliver analyses, support client strategy, identify growth opportunities, and close new business. Use Circana platforms to provide insight-led solutions, maintain industry expertise, and champion client success through consultative engagement.

Leads data engineering teams while designing and optimizing scalable batch and real-time data pipelines on cloud platforms. Responsibilities include developing PySpark and Spark workflows, orchestrating Airflow DAGs, managing cloud infrastructure, implementing CI/CD, improving data quality and performance, and mentoring engineers. The role collaborates with clients, product, architecture, and program management teams, while applying generative AI and DevOps practices to improve engineering productivity and operational efficiency.

Drives client growth by expanding strategic relationships, leading end-to-end sales cycles, delivering data-driven insights, and aligning Circana’s analytics and software solutions with client goals. Serves as the primary client contact, manages service issues, ensures data quality, collaborates cross-functionally, and achieves revenue targets. The role requires expertise in CPG, retail, syndicated data, analytics, category management, consumer insights, and consultative selling.

Drive client growth for Circana’s Foodservice business by selling data and software solutions, managing end-to-end sales cycles, translating POS and consumer analytics into actionable insights, and building strategic client relationships. The role partners cross-functionally with insights, product, and analytics teams, manages pipelines and revenue targets, supports client success, and provides industry feedback to improve offerings.

Drives client growth for Circana’s Foodservice team by selling data and software solutions, managing end-to-end sales cycles, translating POS and consumer data into actionable insights, and building strategic client relationships. The role collaborates with analytics, product, and client insights teams, maintains industry expertise, manages pipelines, achieves revenue targets, and supports client success and product innovation.

Transforms complex retail and consumer data into business-ready datasets, scalable pipelines, reporting solutions, automation, and client deliverables. Designs data integration solutions in Unify, troubleshoots connector issues, explores AI-driven improvements, and partners with Product, Engineering, Client Development, Operations, and business stakeholders to define requirements and deliver scalable solutions.

The Engagement Lead will manage AI solution deployments, build client relationships, oversee deployment processes, and ensure successful integration in various industries, particularly CPG and retail.