Top Artificial Intelligence Jobs in Oklahoma City, OK

Provide high-touch user support via Intercom, troubleshoot web/mobile and integrations, build Intercom automations and AI-driven workflows, create help center content, report bugs and collaborate with product and engineering, and support onboarding to improve user experience and reduce friction.

Full-cycle, quota-carrying enterprise Account Executive leading outbound and inbound sales for an AI-driven automation platform. Run multi-stakeholder cycles with IT/HR/Operations, demo product value, negotiate and close deals, manage pipeline and forecasting in CRM, provide customer feedback to shape product and GTM, and help build the sales playbook as an early go-to-market hire.

Lead analytics function: deliver product, marketing, and business analytics; build and scale the analytics team; partner with CEO to drive growth; be a hands-on manager and top analyst; hire and manage teammates.

Founding full‑stack engineer responsible for 0-to-1 product definition, building frontend and backend systems, wrangling agentic AI and ML infrastructure, and leading end-to-end implementation to deliver rapid, high-quality iterations to customers.

Work on front-end and back-end web projects: create and redesign websites, build sitemaps and wireframes, collaborate with teams, and focus on UI/UX and performant back-end functionality.

Embed with client teams to design, build, and ship production-grade AI systems (LLM-powered apps, RAG, agents). Own architecture, write maintainable tested code, debug production issues, transfer knowledge, and contribute learnings, docs, and internal tooling.

Create digital and print marketing assets, maintain brand guidelines, and produce website, email, social, and print materials. Collaborate with marketing, product, and development teams, manage multiple projects to deadlines, refine assets from feedback, and stay current with design trends and tools.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Support the sales team by identifying leads, conducting market research, preparing sales materials and proposals, participating in meetings and presentations, and collaborating with cross-functional teams to help drive business development and ensure client satisfaction.