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

Lead and build Maze's channel function from scratch: recruit and activate resellers/VARs, drive cloud marketplace partnerships (AWS/Azure/GCP), test new partner models (investor/PE referrals), run partner co-marketing/co-selling, and align partner motions with sales to generate channel-sourced pipeline and ARR.

Manage law firm partners by analyzing performance metrics, diagnosing issues, and driving improvement through data-driven partnerships. Collaborate with teams and communicate effectively to enhance client outcomes.

The Creative Marketing Manager will lead social media initiatives, create compelling content, and collaborate with different departments while researching trends and developing innovative marketing strategies.

The role involves leading the architecture and implementation of hypervisor features, mentoring engineers, and driving technical vision for Lynx's Mosaic platform.

Drive new employer partnerships with enterprise organizations by managing the full sales cycle, building relationships, and demonstrating value of Sword Health's AI platform.

Assist LOA Specialists with LOA documentation, manage case queues, research legislative changes, and train stakeholders on LOA processes and laws.

As a Growth Account Executive, you'll onboard and consult with nonprofit clients, helping them leverage Instrumentl's SaaS platform for fundraising success. You'll communicate regularly, follow up with prospects, and provide feedback to improve user experience.

Join Docker's IAM team as a Senior Software Engineer to design and operate backend identity services focusing on authentication, authorization, and security for millions of developers. You'll lead projects, mentor teammates, and evolve Docker's identity model in a remote-first global environment.

Lead incident response as Incident Commander for critical security events, perform threat hunting and forensic analysis, build detections and telemetry across endpoint, identity, cloud, and network, run tabletop exercises and purple/red team activities, automate detection and response workflows, collaborate with engineering and risk teams, and translate findings into executive metrics and risk reduction strategies.

Build and productionize GenAI features: design experiments, evaluation suites, advanced RAG and reasoning pipelines, oversee SFT/LoRA tuning, and optimize quality-cost-latency trade-offs for reliable, user-focused AI products.