Top Tech Jobs & Startup Jobs

Analyzes customer, sales, panel, point-of-sale, and syndicated data to develop dashboards, reports, analytical tools, and stakeholder presentations. Translates data into actionable business insights and recommendations, supports strategic initiatives and competitive intelligence, ensures data quality, and partners with global stakeholders to improve decision-making, processes, and business performance.

Leads and manages enterprise data engineering teams, overseeing managers, staffing, stakeholder relationships, vendor partnerships, operating-model improvements, data quality, and strategic initiatives. Provides technical guidance on cloud data platforms, data architecture, ETL/ELT, data warehousing, standards, and Agile delivery while building a culture of learning, collaboration, and accountability.

Designs and develops advanced analytics, machine learning, generative AI, agentic AI, and RAG solutions. The role includes framing business problems, curating and evaluating data, building analytical models, optimizing retrieval workflows, monitoring model performance, and translating stakeholder needs into measurable outcomes. The scientist also evaluates emerging technologies, establishes data science standards, communicates recommendations, and collaborates with business partners and other data scientists.

Participate in a 10-week brand management internship, leading cross-functional teams, developing brand strategies, executing marketing initiatives, managing P&Ls, and supporting product, packaging, pricing, promotion, distribution, and business operations decisions. The role is based at General Mills’ Minneapolis headquarters and may lead to its full-time Brand Leadership Development Program.

Ten-week R&D engineering internship focused on designing, testing, scaling, and improving food products and processes. The intern will partner with engineering and manufacturing teams, reduce waste, develop digital tools, analyze data, solve technical problems, engage external partners, and translate consumer insights into prototypes and commercial offerings.

Leads General Mills’ financial communications strategy, including financial storytelling, earnings announcements, investor conference materials, board communications, and compliant financial disclosures. Partners with the CFO, Investor Relations, Finance, Legal, Communications, and senior leaders to translate complex financial information into clear messaging and strengthen the company’s financial narrative.

Provides technical leadership for manufacturing packaging and processing systems. Troubleshoots production issues, improves equipment reliability, eliminates losses, supports start-ups, and develops operational capabilities. Uses manufacturing data, statistical analysis, unit-operation knowledge, and continuous improvement methods to optimize production rates, quality, safety, capacity, and system performance. Works closely with operators, maintenance, technicians, and cross-functional plant teams.

Leads the design, development, governance, and scaling of business intelligence, semantic-layer, conversational analytics, and AI-driven insight solutions. Builds Looker semantic models, LookML structures, BigQuery queries, dashboards, and governed self-service analytics products. Partners with business, product, technical, and governance teams across requirements, architecture, development, testing, deployment, monitoring, and continuous improvement. Establishes validation, metadata, access control, performance, and data-quality practices.

Design, build, and support cloud-based data pipelines, data models, and enterprise data warehouse solutions. Partner with stakeholders on business initiatives, troubleshoot data and performance issues, lead projects, mentor developers, evaluate technologies, and drive automation and continuous improvement using GCP and related data engineering tools.

Leads enterprise data architecture by designing scalable pipelines, data models, quality frameworks, and modern cloud-based data solutions. Partners with engineers, analysts, architects, and business stakeholders to shape technology roadmaps, evaluate emerging tools, and deliver strategic capabilities. Mentors data engineers, drives adoption of engineering practices, communicates architecture decisions, and supports hiring and onboarding.