Top Remote Jobs in Oklahoma City, OK

Build and ship AI-powered product capabilities for enterprise IT operations. Own features end to end, including customer discovery, architecture, implementation, validation, release, troubleshooting, and iteration. Develop systems involving LLMs, agents, RAG, vector search, knowledge graphs, workflow orchestration, APIs, integrations, and automation. Collaborate directly with customers, product, GTM, and engineering teams while making pragmatic tradeoffs and driving rapid, high-quality delivery in an ambiguous early-stage environment.

Create reproducible data science and machine learning tasks with reference solutions, robust tests, and evaluation criteria. Investigate coding-agent failures, identify errors, data leakage, and flawed assumptions, then refine tasks accordingly. Document requirements, solution reasoning, and verification steps. The role requires competitive data science experience, mathematical reasoning, programming ability, and practical knowledge of machine learning and quantitative modeling.

Lead CluePoints’ alliance and channel strategy across technology partners, systems integrators, consultancies, and regional resellers. Build partner-sourced revenue, develop channel programs, enable partners, manage complex commercial relationships, and collaborate with Sales, Marketing, Product, and Services. The role will establish partnerships in markets including Japan, India, and Europe, while eventually building and leading a partnerships team.

Provide empathetic, timely support to customers, resolve inquiries and issues, document interactions, and escalate complex problems to appropriate teams.

Leads portfolio planning and cross-functional execution for Data Science Core and GenAI Studio programs. Establishes roadmaps, operating rhythms, priorities, dependencies, risk management, readiness criteria, decision processes, and success measures. Coordinates data science, engineering, product, research, privacy, legal, security, and business stakeholders from problem framing through deployment, adoption, and monitoring. Communicates technical tradeoffs and responsible AI considerations while improving team effectiveness, capacity planning, documentation, and delivery practices.

Provides onsite help desk and account administration support, including application and network access assignments, password resets, account deletion and disabling, privileged access management, and account cleanup. Supports users through phone, messaging, and in-person interactions. Assists with endpoint deployment, new device configuration and delivery, e-recycling preparation, and ITSM operations.

Own regional capture supply for an embodied AI data platform by selecting target markets, building partner pipelines, negotiating commercial agreements, setting capacity plans, and managing partners through ramp-up. The role requires developing a regional playbook from scratch, securing high-volume capture partners, monitoring quality and output, growing successful relationships, reporting market insights, and traveling regularly across the region.

Build four documented Python and Jupyter cookbook recipes demonstrating Arango use cases, including LLM, RAG, embeddings, vector search, and graph database applications. Select use cases, explain business value, develop working code, incorporate engineer feedback, and publish contributions to GitHub. Collaborate remotely with a distributed product and engineering team.

Create, solve, review, and validate coding-heavy machine learning tasks for AI training. Build and optimize models, training and inference workflows, data pipelines, evaluation systems, and reproducible Python workflows. Diagnose numerical and system-level failures, improve memory use and throughput, and verify technical correctness while working with coding agents.

Generate qualified leads and new business opportunities through cold calling, outbound outreach, prospecting, and relationship building. Research target markets, initiate and follow up with prospects, qualify leads, arrange client meetings, maintain an outreach pipeline, and support conversion of qualified opportunities into engagements. The role requires familiarity with AML, compliance, risk management, financial services, or related fields, along with strong communication and client-facing skills.