Top Tech Jobs & Startup Jobs in Oklahoma City, OK

Provide expert client support for mortgage loan registration and structuring, analyze AUS findings and DTI scenarios, resolve escalations, deliver training, create documentation, and collaborate cross-functionally to drive client success and process improvements.

Owns the consumer credit reporting and Fair Credit Reporting Act risk governance program. Leads Metro 2 file creation, data quality audits, CRA submissions, dispute management, root cause analysis, regulatory compliance, and exception resolution. Manages Dispute Analysts, oversees SLAs and quality assurance, and partners with Legal, Risk, Operations, and Engineering on automation, system enhancements, and continuous process improvement.

Leads higher-education data transformation engagements as the senior data advisor. Responsibilities include executive and client leadership, scope and risk oversight, SQL development, data migration, source-to-target mapping, data quality, governance, architecture, and integration strategy. Advises on CRM, financial, analytics, and institutional data ecosystems; guides APIs, ETL/ELT, batch, real-time, and event-driven integrations; troubleshoots data and interface issues; mentors cross-functional teams; and supports sales and business development. Periodic client travel is required.

Owns the full enterprise sales cycle across named West Coast accounts, including prospecting, qualification, pipeline development, forecasting, negotiation, and closing. Maintains quota attainment, pipeline coverage, MEDDPICC discipline, and HubSpot opportunity hygiene. Builds account plans, partners with sales engineering and marketing, conducts technical discovery and proof-of-concept execution, and represents CIQ at customer meetings and regional events. The role is remote and home-based in California, with regular travel throughout the Western United States.

Provides recruiting operations consulting to mid-market customers through one-on-one and paid engagements. Interprets recruiting analytics, develops processes and reports, creates educational content, enables customer success managers, and partners with Professional Services, Product, and Sales. The role scopes consulting projects, facilitates stakeholder alignment, translates customer insights into product feedback, and supports advanced recruiting operations education and strategy.

Own the success, retention, and growth of strategic K-12 district accounts. Build executive relationships, create customer success plans, drive product adoption, manage renewals and expansion, oversee complex implementations, analyze customer data, coordinate cross-functional teams, and provide strategic guidance on student safety and well-being solutions.

Build and scale production inference systems and customer-facing APIs for AssemblyAI’s voice AI models. Responsibilities include productionizing research prototypes, improving latency and reliability, supporting high-volume inference traffic, developing backend services and SDKs, and collaborating with researchers, applied engineers, customers, and product teams.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Leads Sales Operations for Sales and BDR teams, overseeing funnel analytics, forecasting, territory planning, capacity and quota modeling, operating rhythms, process improvement, reporting, and productivity initiatives. Partners cross-functionally with Sales, Finance, Marketing, Enablement, Customer Success, and Business Applications. Manages and develops the Sales Operations team while driving data-informed recommendations, system improvements, adoption, and measurable business outcomes.

Build and deploy computer vision and machine learning solutions for power grid infrastructure, including defect detection, thermal anomalies, vegetation monitoring, and intrusion surveillance. Responsibilities span research implementation, model experimentation, error analysis, data pipelines, experiment tracking, model serving, testing, monitoring, and client delivery. The role requires productionizing models, adapting research papers, optimizing architectures, and independently owning projects from problem definition through deployment.