Top Tech Jobs & Startup Jobs in Minneapolis, MN

The Partner Solutions Architect will provide technical leadership to partners, support service offerings, engage in account collaboration, educate partners through training, and work with global strategies with strategic partners. Responsible for enhancing managed service offerings and technical relationships with Zscaler and its partners.

As a SOC Analyst, you will conduct initial triage and in-depth analysis of security incidents, support stakeholders through the incident response process, and identify alert trends to enhance detection and response capabilities.

The Senior Customer Success Engineer at Corellium ensures customer success by providing technical support, guiding onboarding, resolving issues, and gathering feedback for product improvement. They work closely with sales and product development to maintain customer satisfaction and build a knowledge base of solutions.

The Lead Copywriter will create multi-platform marketing campaigns, establish Kajabi’s voice, manage complex projects, and inspire the creative team. Responsibilities include developing ideas for various channels and nurturing cross-functional relationships to enhance brand messaging.

As a Business Development Representative at WorkBoard, you will drive sales opportunities, manage inbound leads, and execute outbound demand campaigns. Engaging with enterprise decision-makers and collaborating with sales, marketing, and customer service teams to enhance growth is key. The role requires strong sales communication skills and effective execution of strategic plans.

As a Commercial Account Executive at SOCi, you will drive new business by identifying opportunities within multi-location brands, employing effective sales strategies, and building relationships with key decision-makers. You'll act as a subject matter expert in localized marketing, manage the sales pipeline, and creatively resolve client challenges to close deals.

The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.