Top Remote Jobs in Oklahoma City, OK

Sell RTB Houses adtech solutions to enterprise retail/e-commerce clients by owning full sales cycles, building strategic account plans, closing deals, updating CRM, collaborating with technical teams, and traveling domestically up to 20%. Drive new business, nurture relationships, and meet revenue targets.

Design, develop, test, and deploy Go and Python microservices for a B2B financial platform. Collaborate cross-functionally, support client onboarding and documentation, build automations, monitor system reliability, and later transition to product development or team lead responsibilities.

Own full-cycle recruiting for interns and new graduates, plan and execute the summer internship program and events, build university partnerships, ensure exceptional candidate experience, and continuously improve early talent initiatives to drive retention and business alignment.

Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.

Negotiate delinquent accounts on behalf of clients to maximize savings, build and maintain relationships with external partners, manage client finances and account queues, use tools to consolidate debts for negotiation leverage, provide client guidance, and participate in special projects to support client outcomes.

Define and evolve ArcGIS Enterprise reference architecture on Kubernetes (AWS EKS). Ensure scalability, reliability, security, HA/DR, and cost efficiency. Provide architectural guidance, governance, and best practices; partner with DevOps, platform, and application teams to enable production-ready GIS and analytics applications.

Own enterprise AI strategy and launch the PureSpectrum AI Academy. Curate an approved AI tool stack, create function-level AI playbooks, manage an active AI project portfolio, partner with engineering to implement API-connected workflows, and drive measurable adoption, automation, efficiency, and ROI across functions while reporting program status to leadership.

Lead end-to-end delivery of complex enterprise SaaS implementations: define scope, timelines, governance; manage stakeholders and cross-functional teams; maintain timelines, risk logs, and change control in Salesforce; drive on-time go-lives, customer satisfaction, and handoff to Customer Success while improving implementation processes.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.