Top Artificial Intelligence Jobs in Oklahoma City, OK

Owns five revenue operations pillars: deal desk, software provisioning, analytics, time-critical HubSpot marketing support, and DealHub CPQ change management. Partners with Sales, Finance, Customer Success, Legal, and Marketing to improve quote-to-cash workflows, automate manual processes, strengthen reporting, document SOPs, and advise sales leadership. Provides cross-functional coverage across CRM, quoting, deal desk, and provisioning operations.

Build and scale backend security platform services, including authentication, authorization, identity infrastructure, permission systems, and data models. Lead cross-team technical initiatives, standardize security solutions, collaborate with compliance and mission stakeholders, and influence architecture and engineering standards. The role requires strong system design, backend development, security expertise, technical leadership, and the ability to operate in sensitive environments.

Manage Fieldguide’s distributed generalist product support team. Own support metrics, ticket quality, QA, escalations, follow-the-sun handoffs, staffing, hiring, onboarding, and career development. Build 24-hour weekday coverage across the US, London, and Seoul, coach specialists, improve processes and runbooks, and bring customer insights into product and engineering decisions. The role remains hands-on with tickets and escalations.

Owns a defined territory of mid-sized customer accounts, driving revenue expansion through upselling, cross-selling, consultative selling, and executive engagement. Develops territory and account plans, identifies growth opportunities, manages Salesforce pipeline forecasts, promotes PagerDuty Operations Cloud adoption, and collaborates with solution consultants, customer success, renewals, and product teams. Requires B2B SaaS sales experience, quota attainment, C-level selling skills, and familiarity with Salesforce and complex sales methodologies.

Lead complex security investigations across endpoint, identity, cloud, email, SaaS, and network environments. Own incidents through containment, remediation coordination, documentation, and post-incident review. Tune detections, queries, dashboards, workflows, and SOAR playbooks; improve SOC metrics, threat coverage, alert fidelity, and response processes. Partner on vulnerability and cloud-risk remediation, participate in global on-call rotation, use approved AI capabilities responsibly, and mentor analysts.

Lead and scale strategic global systems integrator partnerships, driving co-selling, pipeline generation, revenue growth, executive alignment, QBRs, enablement, embedded solution adoption, forecasting, and complex deal execution across regions. Serve as the primary global business development liaison between Rubrik’s sales organization and GSI partner ecosystem, while developing new-logo opportunities and expanding customer outcomes.

Own month-end close, general ledger operations, journal entries, balance sheet reconciliations, corporate card and expense workflows, SaaS billing reconciliations, equity records, variable compensation accounting, and internal controls. Partner cross-functionally to resolve variances, improve processes, and support audits, tax filings, reporting, and system enhancements. The role requires an active CPA license, strong US GAAP knowledge, and experience with cloud accounting and financial systems.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Design, scale, and operate Runpod’s distributed storage platform across network volumes, local NVMe, and S3-compatible object storage. Tune storage and high-speed network performance, lead capacity expansions and migrations, write production automation and control-plane code, extend APIs, and build observability, dashboards, SLOs, and alerts. The role also participates in on-call operations, incident response, infrastructure-as-code practices, and long-term architecture decisions for petabyte-scale AI infrastructure.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.