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

Oversee creative production and marketing project management, ensuring efficient workflow, communication, and timely delivery across initiatives. Manage cross-functional collaborations and support project timelines.

Lead technical design and implementation of client-side security protections for Bluebook across Windows, macOS, iPad, and ChromeOS. Provide hands-on coding (native and web), guide architecture and testing, mentor teammates, run mob programming, resolve complex production issues, and drive engineering standards, AI-augmented practices, and cross-team collaboration to build resilient, production-grade security solutions.

Supports digital assessment pilots, research studies, and technical readiness activities. Responsibilities include environment validation, configuration checks, smoke testing, device validation, defect and risk tracking, documentation, troubleshooting during live administration, and quality assurance. The role coordinates with product, technology, assessment delivery, and program management teams while executing defined project plans under senior guidance.

Lead full-cycle recruiting across corporate functions in US, Canada, and Costa Rica. Own workforce planning, sourcing, candidate experience, hiring strategy, and offer negotiation. Build diverse pipelines, design scalable recruiting programs and structured interviews, analyze recruiting metrics, and advise leaders on compensation and hiring trends while leveraging AI to improve recruiting efficiency and outcomes.

Design, build, and maintain scalable full‑stack systems and APIs. Extend products to handle large datasets, reporting, and third‑party/Microsoft Graph integrations. Write secure, testable production code, participate in code reviews, troubleshoot performance issues, and mentor engineers. Own features end‑to‑end from design through deployment using CI/CD and DevOps practices in a distributed team.

Manage and grow relationships with channel partners (MSPs, resellers, distributors) to drive renewals, expansions, and partner-led new business. Own pipeline, forecasting, contract negotiations, and end-customer experience, coordinating with internal teams and maintaining CRM data accuracy.

Build and scale client-facing payment tokenization primitives on the VGS platform. Ship iterative, scalable features, set engineering standards, contribute architecture and roadmap, and work directly with customers, vendors, and partners to solve payment tokenization and credential orchestration problems.

Lead product direction for one or more early-stage education products: run pilots and beta programs, prioritize roadmap using data and customer signal, ship rapidly with engineering and design, define success metrics, and partner with go-to-market to scale validated concepts.

Lead end-to-end event strategy and production for global commercial, activation, and corporate events. Own budget, vendors, logistics, booth/AV/run-of-show, traveler prep, KPIs and ROI, and cross-functional alignment to drive awareness, pipeline, and developer adoption.

Lead a senior, autonomous platform engineering squad to accelerate personalized care delivery. Own platform vision, remove cross-team friction, drive AI-native SDLC improvements, and develop senior talent while aligning platform strategy with product roadmaps.

Own and execute multi-channel demand generation programs to drive awareness, qualified leads, and pipeline for K-12 school sales. Develop ABM, email, paid, content, events, and analytics-driven campaigns; align with sales; manage reporting, attribution, and event marketing; optimize funnel performance and partner with cross-functional teams to measure marketing-sourced revenue and ROI.

Design, build, govern, and own an enterprise AI data platform that ingests, transforms, stores, and serves data for AI consumers. Define multi-domain data models, data contracts, pipelines, vector and retrieval infrastructure, observability for agentic behavior, and evaluation frameworks. Establish architecture standards, CI/CD, and infrastructure-as-code to enable production AI/ML and LLM applications.