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

Leads the team responsible for software applications supporting logistics and transportation capabilities. Oversees application configuration, development, testing, deployment, release management, performance monitoring, incident and support processes, vendor relationships, and stakeholder engagement. Manages application lifecycle improvements across SaaS and on-premises solutions while coaching team members and aligning delivery with business goals.

Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate coverages and products, and convert prospects into policyholders. Complete paid training and obtain a Property and Casualty insurance license if needed. Maintain strong customer relationships, represent the Liberty Mutual brand, meet sales goals, and work a designated weekday and weekend schedule remotely.

Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate property and casualty coverages, and converts prospects into policyholders. The role includes paid licensing and training, customer relationship building, sales closing, and representing the Liberty Mutual brand. Employees must work a designated weekday and weekend schedule and meet remote-work requirements, including a professional workspace and wired high-speed internet.

Leads AI innovation and adoption across a healthcare advisory practice. Develops and deploys predictive models, generative AI, machine learning, and analytics solutions for value-based care and payment challenges. Oversees data readiness, governance, responsible AI reviews, model monitoring, stakeholder adoption, and client delivery. Translates complex analytics into executive-ready insights, dashboards, and presentations while building reusable assets, training teams, and driving enterprise AI strategy.

Develop and deploy AI, machine learning, and data science solutions that strengthen enterprise cybersecurity. Responsibilities include collecting, cleaning, processing, and analyzing cybersecurity data; building models within CI/CD pipelines; collaborating with senior engineers, customers, and source data teams; and applying responsible AI practices. The role also requires ongoing learning across big data, ML, and AI technologies.

Leads healthcare analytics service delivery across Medicare, Medicaid, and Commercial programs. Designs analytic models, dashboards, reports, and predictive solutions; translates complex data into client-ready insights; guides data governance and management practices; and promotes AI, machine learning, generative AI, and automation to improve reporting efficiency. Partners with clients, analysts, developers, subject matter experts, and AI teams to analyze claims, enrollment, provider, and member data and support value-based payment initiatives.

Support customers with inquiries and issues involving financial products and services through phone, text, chat, and video channels. Perform customer support tasks, follow risk and compliance procedures, promote digital services, resolve routine issues, and escalate non-routine questions. The role requires accurate documentation, problem-solving, multitasking, effective communication, and participation in four to six weeks of mandatory training before transitioning to a hybrid schedule.

Facilitates corporate and investment banking lending transactions between front- and back-office teams. Responsibilities include onboarding clients and legal entities, reviewing credit approvals and legal documents, completing KYC and compliance requirements, coordinating booking, funding, collateral, closing, and system setup, and escalating exceptions. The role also identifies process improvements, evaluates operational issues, supports risk mitigation, and presents recommendations while collaborating with internal stakeholders and external customers.

Lead FLM's transition from rule-based monitoring to AI-driven anomaly detection. Own end-to-end analytics lifecycle, operationalize AI/LLM tools, deliver risk insights to senior leaders, and build an AI-fluent analytics team while ensuring governance and audit defensibility.

Leads strategic marketing initiatives for PwC’s Cyber and Technology Risk practice, including market research, campaign development, digital marketing, content strategy, performance analysis, stakeholder engagement, and business development. The role manages CRM-supported client relationships, strengthens brand visibility, drives revenue growth, and coaches marketing team members.

Develop and optimize AI and machine learning algorithms, models, and scalable Python systems. Transform raw data into actionable insights, apply machine learning libraries and NLP techniques, improve data quality, and deliver automation solutions for clients. The role also involves complex data analysis, stakeholder collaboration, client relationship management, and navigating ambiguous business challenges.

Architects, builds, and operates production-grade agentic AI systems for identity security at enterprise scale. Responsibilities include multi-agent orchestration, tool use, planning, memory, failure recovery, enterprise-grounded reasoning, retrieval and RAG pipelines, model integration and evaluation, safety guardrails, observability, and human-in-the-loop controls. Provides technical leadership through architecture ownership, code reviews, quality standards, and mentoring.

Develop and maintain UVM-based SystemVerilog verification environments and Python testbenches for advanced ASIC and SoC designs. Define and execute block- and system-level verification plans, debug functional and integration issues, drive coverage closure, and improve verification quality. Collaborate with design and post-silicon validation teams while evaluating AI-assisted techniques to increase verification productivity and debugging efficiency.

Leads and develops an Account Management team responsible for campaign performance, client reporting, gross profit growth, optimization, and incremental spend. Coaches employees, improves processes, supports complex sales cycles, and collaborates with analytics, product, marketing, and operations. The role also drives cross-functional initiatives, go-to-market best practices, forecasting, strategic decision-making, and a high-performance culture. Travel is required up to 20%.

Plans and executes operational activities, establishes priorities and performance measures, manages operating cadences, prepares executive reporting, coordinates stakeholders, maintains action logs and controls, and improves processes. The role also supports communications with borrowers, insurance partners, and risk teams while handling urgent requests and identifying opportunities for AI and automation.

Supports semiconductor engineering projects through device testing, characterization, data analysis, process development, and optimization. Collaborates with cross-functional teams to troubleshoot technical issues and improve semiconductor design and manufacturing processes. The internship provides hands-on experience with semiconductor technology, engineering tools, and simulation software.

Develop and test AI software using large datasets, Python, JavaScript, and C++. Evaluate algorithms, statistics, and data to improve industrial applications. Collaborate with machine learning and data engineers on end-to-end AI and integration solutions, stay current with AI trends and regulations, and present project progress to leadership and stakeholders.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.