Top Tech Jobs & Startup Jobs in Minneapolis, MN

The VP of Technology will lead the development of intelligent software solutions and machine learning applications for battery technology at Electra Vehicles. Responsibilities include setting the technology strategy, mentoring the technology team, ensuring timely delivery of product features, and driving innovation in a fast-paced environment.

The Customer Success Project Manager at BioIntelliSense will lead cross-functional project teams, define project scope, and ensure customer satisfaction through effective project planning and execution. Responsibilities include managing customer relationships, onboarding, and resolving project-related issues while presenting updates to stakeholders.

The Senior Manager of Financial Planning and Analysis at TradeCentric will be responsible for leading annual budgeting, financial forecasting, variance analysis, and management reporting. This role involves collaborating with executive leadership and cross-functional teams to provide strategic financial guidance and insights, ensuring alignment with organizational goals and effective risk management.

As a Senior Platform Engineer at Mux, you will design and operate the infrastructure for Mux's platforms, focusing on scalable systems and CI/CD processes. You'll improve platform usability via automation, lead cross-functional projects, debug production issues, and promote engineering standards and best practices.

As a Growth Marketing Manager, you will expand customer acquisition channels and optimize their effectiveness, manage paid advertising budgets, develop new campaigns, and improve conversion rates. You will collaborate with various teams to enhance digital marketing efforts and drive customer growth.

The Client Solutions Manager will lead the development of healthcare data requirements, manage client relationships, validate solutions against acceptance criteria, and assist in user acceptance testing, all while leveraging expertise in health data integration and management solutions.

As an Applied Data Scientist, Analytics Engineer, you will execute client engagements, focusing on data modeling, building predictive models, and deriving insights from analyses. You will collaborate with cross-functional teams to create scalable solutions and maintain proficiency in statistical techniques and programming languages. This role involves working with large datasets and requires strong communication skills.