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

Build and ship end-to-end product features across frontend, backend, and agent-driven workflows; design scalable architectures; improve developer velocity, tooling, and product quality; apply AI-native engineering practices; collaborate on core product experience and execute high-leverage work with strong ownership.

Own strategic customer relationships and lead deployment of AI workflows into supplier operations. Map customer SOPs and data sources, identify high-ROI AI opportunities, translate needs into product and implementation requirements, drive adoption, partner with product/engineering, build playbooks, track value, and surface expansion opportunities across global teams.

Partner with small-business clients to manage full-cycle recruiting: source, screen, interview, and hire candidates. Collaborate with hiring managers, document recruiting plans and timelines, coordinate interviews and offers, and provide consultative recruiting and HR support on a fractional, part-time basis.

Drive awareness and education of Dose products to healthcare professionals via outbound/inbound calls, emails, and virtual meetings. Qualify leads, manage a pipeline in CRM, collaborate cross-functionally, hit sales targets, and maintain product and competitive knowledge.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Support the sales team by conducting cold calls, generating leads, assisting with sales strategies, handling administrative tasks, maintaining customer databases/CRM, and collaborating to meet sales targets while gaining hands-on experience.

Lead the Asset Intelligence product area: define asset data foundation strategy, own roadmaps for one-to-two engineering pods, write PRDs, measure outcomes tied to revenue, prioritize portfolio investments, collaborate across engineering, data, design, sales and customers, and evaluate AI solutions to strengthen asset functionality and enterprise opportunities.

Own a geographic territory to build pipeline and close new enterprise customers. Run complex, multi-stakeholder sales cycles from discovery through contract, coordinate cross-functional teams, maintain forecasting and CRM hygiene, represent the company at events, and achieve quota with ~20% travel.

Invitation to join Fexa's Talent Network to receive company updates, new role notifications, and insights into culture and events. Stay connected so recruiters can reach out about future remote-first opportunities.

Part-time role supporting Providence Church wedding ministry and special events: coordinate wedding scheduling, policies, fees, vendor and staff communications; assist with church-wide events, staff meeting lunches, and administrative projects.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Support execution of large-scale B2B outbound and demand-generation campaigns: build outreach sequences, manage outreach tools, enrich and QA data, maintain outbound infrastructure, coordinate webinar and content syndication operations, research target accounts/ICPs, assist reporting, and apply AI tools to automate workflows.