Top Tech Jobs & Startup Jobs in Charlotte, NC

Own product discovery, growth, and business outcomes across the full product lifecycle. Responsibilities include market research, customer interviews, product-market-fit validation, positioning, pricing, onboarding, retention, subscriptions, billing, monetization, experimentation, product analytics, and cross-functional process improvement. The role partners with Marketing, Sales, Customer Success, and Operations in a highly autonomous, remote environment.

Design and author practical courses on AI and workflow automation adoption. Develop curricula, case studies, templates, exercises, and frameworks; translate implementation experience into actionable learning content; review technical accuracy; facilitate sessions; and teach responsible AI controls, workflow redesign, scaling, and value measurement.

Deliver live workshops and hands-on labs demonstrating generative AI workflows for visual, video, document, interactive, and automated content production. Guide learners in creating branded assets, videos, presentations, documents, and interactive experiences using AI tools. Provide structured feedback, collaborate on course materials, and continuously improve methodologies based on learner feedback and industry developments.

Own multiple marketing projects from scoping through launch and performance tracking. Develop content, community, social media, and brand strategies; build messaging guidelines and audience engagement processes; analyze feedback and campaign metrics; coordinate cross-functional teams and agencies; and test new channels to grow visibility and engagement. The role requires hands-on execution, strategic thinking, consumer brand experience, AI application experience, and strong global communication skills.

Own full enterprise sales cycle across Europe for B2B upskilling solutions. Lead complex, multi-stakeholder deals, build GTM and scalable playbooks, partner with BD, Product and Delivery, and drive new business and expansion in a pre-product-market-fit environment.

Industry Expert who reviews and defends advanced AI/ML and systems engineering projects, chairs architecture and executive review panels, hosts occasional technical sessions, and sets standards for instructors. The role requires production-scale engineering experience, live architecture critique, a public technical footprint, strong English, and expertise in agentic systems, LLM evaluation, model serving, cloud infrastructure, distributed systems, observability, RAG, and enterprise deployments.

Lead and scale the Partnerships function across the US and LATAM with focus on career partnerships. Build strategy, acquire Tier-1 employers, manage Partnership Managers, negotiate deals, track pipeline metrics, and collaborate cross-functionally to drive career outcomes and strategic initiatives.

Author and refine curriculum for experienced engineers transitioning to systems architecture: validate and shape syllabus, define measurable learning objectives, produce and fact-check AI-assisted lessons, design hands-on projects and rubrics, and iterate with LX designers to deliver production-ready course content over a 4–6 month, part-time engagement.

Join a talent pool as a part-time instructor, author, or subject-matter expert teaching AI-assisted programming. Deliver live workshops, create course materials and prompts, shape curriculum, and review content while demonstrating hands-on use of AI coding tools in real development workflows.

Join a talent pool to teach, author, or advise on AI-powered automation. Deliver live workshops, create course materials, design exercises, shape curriculum, review technical content, and support program updates. Part-time (10–15 hrs/week), remote with collaboration in European time zones. Roles span junior to senior levels and emphasize hands-on experience with automation platforms and real-world operational workflows.