Top Artificial Intelligence Jobs in Oklahoma City, OK

Supports the payment lifecycle for expert contributors by managing payment support tickets, investigating discrepancies, resolving disputes, and communicating with contributors. Audits payment data and complex incentive structures, builds SQL queries, scripts, automations, and dashboards, and collaborates with Finance, Operations, Delivery, and Engineering. The role also supports payment compliance, data traceability, workflow improvements, and audit requirements.

Owns GTM operations from opportunity creation through renewal, including pipeline analytics, forecasting, Salesforce and Clari administration, AI-enabled workflow automation, data governance, customer handoffs, renewal processes, and partner operations. Builds trusted reporting, improves pipeline discipline and forecast accuracy, identifies deal and renewal risks, and partners with Sales, Customer Success, Finance, Partnerships, and executives on commercial decision-making.

Serve as a functional SME for Oracle Fusion Cloud Finance, configuring, troubleshooting, and supporting Accounts Receivable, Accounting, Advanced Collections, and Enterprise Contracts. Translate business requirements into solutions, support implementations and production environments, troubleshoot PaaS integrations, and collaborate with technical, functional, and client teams. Gather requirements, design solutions, test, resolve issues, document processes, and manage stakeholder communications. Staffing domain experience and extensive Oracle Cloud Finance expertise are required.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

The role involves creating and publishing daily social media content targeting Korean students preparing for TOEFL, using performance metrics for improvement.

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

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.

Design and build scalable Python backend systems for a real-time AI voice-agent platform. Responsibilities include architecting microservices, APIs, distributed systems, databases, message queues, event-driven workflows, EHR integrations, observability, and HIPAA-compliant infrastructure. The engineer will own backend features end to end, ensure reliability and low latency at scale, and collaborate through technical discussions and code reviews.

Sources candidates for live briefs at early-stage AI startups, conducts one-to-one outreach, drives qualified signups through a referral link, and logs sourcing activity and responses. The sourcer works independently using personal tools, networks, and approved automation. Performance is measured by candidate reach and qualified signups per billed hour, with hourly pay and performance bonuses.

Build Nango’s customer success function by managing strategic developer-tool and technical SaaS accounts, driving adoption, renewals, and expansion. Develop relationships with technical users and executives, identify use cases and adoption risks, resolve customer blockers with Engineering, and create scalable playbooks for serving more than 700 customers. Track customer health, retention, and growth while partnering closely with the founders.