Top Tech Jobs & Startup Jobs in Minneapolis–Saint Paul, MN

Lead FinOps as a service for multi-cloud and AI spend: own product capabilities, dashboards, reporting, governance, tagging, cost optimization automation, forecasting, and stakeholder enablement across cloud providers and AI platforms.

As a Staff Software Engineer, you’ll lead the design and reliability of Duetto's data lakehouse, evolving data systems using Python and AWS, ensuring data quality, and implementing AI-driven solutions.

Lead technical implementation of custom web projects, focusing on WordPress back-end development, while ensuring quality, security, and collaboration with teams.

The Senior Full Stack Developer will solve complex software challenges using React and Node.js, with a strong emphasis on collaboration and ownership in a mission-driven environment.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

As an AI Transformation Lead, you will manage end-to-end AI program initiatives, drive deployment in functions, and ensure adoption across the organization.

Lead and oversee a portfolio of client-facing software projects: manage budgets, schedules, risks, status reporting, resources, and process improvements. Hire, mentor, and evaluate project managers; communicate with stakeholders and clients to drive on-time, high-quality delivery of consumer digital experiences.

The Brand Development Manager will enhance market presence, drive business growth, and build relationships with retailers through strategic sales initiatives and education.

Lead go-to-market for Actian's vector, embedded edge, and multi-model databases across net-new acquisition and cross-sell. Own positioning, monthly launches, field enablement, MOFU/BOFU content, and global event/analyst/PR enablement. Coordinate across product, web, design, sales enablement and demand generation to drive pipeline and expansion.

Build and operate CrewAI's infrastructure across AWS, Azure, and GCP. Own containerized deployments, CI/CD pipelines, observability, secrets, networking, databases, and on-call reliability. Harden security, automate deployments and installs, partner with runtime and product engineers, and reduce operational toil through tooling and automation.