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

Leads a field-based team supporting GM dealerships with parts revenue, service operations, customer retention, warranty administration, technician training, and customer experience. Owns zone revenue and performance KPIs, analyzes dealer marketing and merchandising, implements business plans and countermeasures, and drives continuous improvement. Requires strong automotive business knowledge, leadership experience, data analysis skills, frequent travel, and residence or relocation within the assigned territory.

Own Acquia’s technology alliance strategy across ISV, OEM, platform, DAM, and content-creation partners. Manage strategic relationships including AWS, develop co-sell and marketplace motions, recruit and launch integrations, build OEM revenue models, and execute joint go-to-market programs. Lead cross-functional collaboration with Product, Marketing, and Sales while managing, coaching, and growing a team of technology alliance managers.

Leads an eLearning team developing, maintaining, and optimizing self-paced digital learning content for a clinical data platform. Owns content strategy, roadmaps, production workflows, quality standards, analytics, accessibility, and learning outcomes. Collaborates with subject matter experts, product teams, stakeholders, and external partners to translate complex concepts into effective training. Uses AI and emerging technologies to improve development and personalization, while mentoring team members and incorporating learner feedback.

Reviews and analyzes commercial insurance submissions, quote revisions, bind reviews, endorsements, and policy updates within delegated authority. Communicates with underwriters, agency partners, and internal teams; verifies business information; identifies risk concerns; requests additional details; and supports accurate, timely policy processing. Maintains knowledge of workers’ compensation and commercial auto coverage, forms, ratings, and manuals while managing high-volume work across multiple states.

Own and grow a portfolio of large health system partnerships through consultative enterprise selling. Lead complex, multi-stakeholder sales cycles, drive renewals and expansions, negotiate commercial contracts, partner cross-functionally, and travel frequently to build executive relationships and accelerate adoption.

Leads Fusion’s Technical Architecture practice while personally building production AI and LLM tooling for Professional Services. Responsibilities include managing and mentoring architects, setting architecture standards, supporting enterprise presales and regulated customers, modernizing delivery infrastructure, establishing AI security guardrails, evaluating emerging AI capabilities, and driving adoption through training and enablement. The role requires deep Salesforce or ServiceNow expertise, hands-on software development, enterprise integration knowledge, and executive-level customer engagement.

Own Rubrik’s customer story and CXO Visionaries programs from recruitment and discovery through content production, events, awards, and executive engagement. Develop technically grounded customer narratives, manage editorial workflows and external vendors, track story impact, and partner with sales, PR, product, engineering, alliances, and events teams. Build scalable processes and quality standards while translating cybersecurity and data resilience outcomes into compelling proof points for senior business and technology audiences.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.