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

The Account Executive is responsible for selling GiveCampus solutions to higher education institutions, managing complex sales processes, and building relationships with stakeholders while achieving sales quotas.

Lead design, implementation, and migration of the enterprise data warehouse from BigQuery to Databricks. Build scalable ETL/ELT pipelines, data models, governance, quality monitoring, and performance optimizations while partnering with cross-functional teams and mentoring colleagues.

Own full‑cycle recruiting across sales, operations, engineering, and clinical roles. Partner with hiring managers to build interview plans, source and screen candidates, manage pipelines through offer, maintain Ashby ATS and reporting, implement AI to streamline hiring, and build employer brand and candidate experience.

Manage and grow assigned key client accounts for last-mile parcel delivery. Serve as primary client liaison, develop account strategies, drive upsell/cross-sell, monitor operational performance, lead business reviews, produce performance reports and SOPs, handle billing/AR, support onboarding, resolve escalations, and mentor junior staff.

Customer-facing technical architect responsible for end-to-end success of enterprise Aviatrix deployments: design multi-cloud network and security architectures, implement Aviatrix DCF policies, integrate with NGFWs, lead operational reviews and incident response, drive adoption and optimization, and produce runbooks and compliance-aligned network configurations.

Own major backend feature verticals (voice/chat, billing/payments, communications, service-provider workflows, auth/permissions). Drive architecture, design, implementation, testing, and production delivery while modeling data for access patterns and integrating payment processors and multi-channel communication.

Lead design and implementation of scalable, production-grade data products and feature pipelines for ML. Build batch and streaming pipelines, ensure data quality, observability, and reproducibility, partner with data scientists and platform teams, and drive cross-team architecture and standards for ML-ready datasets.

Manage health and performance of product databases: schema design, permissions, backups/recovery, failover clustering, performance tuning, monitoring, incident response, and cross-team support for releases and customer issues. Participate in on-call rotation.

Maintain consolidated three-statement model across multiple entities, support monthly consolidation and expense planning, build financial and scenario models, perform variance and ad-hoc analysis, prepare MBR/Board/investor reporting, and support post-acquisition tracking and spend approvals.

Provide high-level administrative support to multiple ELT members: manage complex calendars, prepare meeting materials, coordinate travel and offsites, handle confidential information, research and stakeholder coordination, support events and company activities, assist partner EA, and complete ad hoc administrative and personal-assistance tasks (<20% workload).