Top Remote Jobs in Minneapolis, MN

Build and certify AI-driven customer integrations from discovery through sign-off. Responsibilities include solution design, agent and MCP development, data integration, automated verification, security guardrails, testing, observability, customer security reviews, documentation, and productizing recurring solutions. The role also contributes to the core platform and internal agentic tooling while independently managing client engagements.

Leads Helium 10’s global product management function across the United States and China. Owns multi-quarter roadmaps, new-product discovery and delivery, direct-to-consumer and omnichannel expansion, AI-native product development, customer discovery, commercialization, analytics, and cross-functional execution. Manages and develops product managers, establishes operating standards, ensures timely high-quality releases, and communicates business outcomes to executive stakeholders.

Leads growth strategy for Scholarship Services across Catholic, faith-based, and private-school choice markets. Builds executive relationships with dioceses, school networks, and scholarship organizations; identifies partnerships; represents FACTS at industry events; develops impact narratives and thought leadership; and collaborates with business development, product, operations, engineering, and marketing on go-to-market priorities, pricing, packaging, forecasting, and performance. Mentors colleagues and requires deep scholarship organization and Catholic education experience.

Designs, develops, deploys, and supports enterprise business intelligence solutions using Power BI and related visualization platforms. Builds semantic and dimensional models, dashboards, reports, and analytical solutions; applies statistical techniques to identify trends and performance drivers; and translates findings into recommendations. Partners with stakeholders and data engineering teams, establishes reporting standards, optimizes performance, supports modernization and certification, and provides technical guidance. The senior level may lead complex initiatives, review designs, and mentor analysts.

Own defined product features and workflows from discovery through launch and post-launch improvement. Create product artifacts, partner with engineering and design, incorporate customer feedback and analytics, manage roadmaps and backlogs, prepare launch plans, and monitor adoption and quality. The role requires cross-functional collaboration, benefits administration domain learning, responsible use of AI-enabled tools, and hands-on technical engagement with engineers, including troubleshooting and scripting for production support.

Own cloud and application security across Redox’s healthcare data platform. Responsibilities include Kubernetes and container hardening, vulnerability management, secure SDLC and CI/CD safeguards, infrastructure-as-code security, secrets management, compliance control implementation, incident response, threat modeling, design reviews, mentorship, and bug bounty triage. The role also involves securing AI workflows and collaborating with engineering teams in a fully remote, asynchronous environment.

Build and maintain secure Azure Government, edge, and on-premises infrastructure for Department of War systems. Responsibilities include DevSecOps collaboration, Zero Trust implementation, Kubernetes and container security, Infrastructure as Code automation, RMF and CMMC compliance, ATO support, vulnerability remediation, and software supply-chain security. Approximately 15% of the role focuses on securing AI applications, LLMs, RAG architectures, AI agents, and MCP integrations using NIST AI RMF and related practices.

Builds and operates enterprise AI platform infrastructure across AWS and Azure, including gateways, policy engines, identity, registries, guardrails, observability, and audit capabilities. Designs performant distributed services with strong resilience, security, governance, and runtime evidence. Owns production operations, SLOs, on-call responsibilities, integrations, CI/CD, and infrastructure as code while mentoring engineers and partnering with security, architecture, and AI teams.

Leads the enterprise AI platform engineering function, owning AI gateways, policy engines, identity, registries, guardrails, observability, and audit infrastructure. Builds and operates secure, governed, multi-cloud AI capabilities while scaling an engineering organization. Partners with security, architecture, DevOps, and business domains to deliver policy-as-code, workload identity, runtime evidence, AI lifecycle governance, and enterprise-grade platform services.

Provides transactional legal counsel to clinical, manufacturing, supply chain, medical affairs, and other biotechnology stakeholders. Leads drafting, negotiation, and execution of clinical trial, CRO, vendor, CDMO, supply, manufacturing, quality, technology transfer, and other agreements. Advises on risk allocation, indemnification, intellectual property, data rights, confidentiality, regulatory compliance, and disputes. Supports legal policies, templates, contract lifecycle management, outside counsel, and cross-functional initiatives.

Serves as a hands-on technology leader for G&A business systems, supporting procurement, legal, finance, HR, and facilities applications. Owns configuration, enhancements, integrations, testing, security administration, compliance, and outsourced support coordination. Builds AI and workflow automation solutions, improves business processes, supports SOX and ITGC controls, and partners with stakeholders on scalable enterprise applications and digital transformation.

Build and operate a secure, locally hosted LLM platform for enterprise engineering and business use. Responsibilities include model evaluation and optimization, inference serving, RAG and search pipelines, permission-aware retrieval, security controls, evaluation frameworks, observability, safe agent tooling, integrations, CI/CD, reliability, and lifecycle management. The role leads architecture and roadmap decisions while partnering cross-functionally to deliver measurable, production-ready generative AI capabilities.