Top Tech Jobs & Startup Jobs in Oklahoma City, OK

Own end-to-end accounts receivable: invoice processing, high-volume billing, cash application in NetSuite, collections, dispute resolution, reconciliations, SOP documentation, and cross-functional coordination to improve O2C processes and support audits.

Lead design and implementation of end-to-end ELT pipelines and transformation layers (dbt) to produce curated, reporting-ready datasets. Define data models, governance, metadata, lineage, and engineering standards. Partner with cross-functional teams to translate requirements, optimize performance and costs (cloud DW like Snowflake), and grow a data architecture practice that supports BI, self-service analytics, and AI agents.

Lead end-to-end product areas that improve build speed, cost accuracy, margin, and throughput. Own strategy, roadmap, and execution for complex financial and operational data products, integrate AI/ML into workflows, write precise requirements, instrument metrics, run experiments, and drive cross-functional outcomes with construction, finance, sales, design, and engineering teams.

Provide technical support for developer customers, resolve inquiries, create and maintain tutorials and content to improve self-sufficiency, minimize engineering interrupts, and collaborate with cross-functional teams on support strategies.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Build and run the full recruiting function: source outbound and inbound candidates, run end-to-end hiring loops for diverse roles (esp. senior AI-native product engineers), own ATS (Ashby), design processes and scorecards, hire ~20 people over 18 months, and eventually build your own talent team while working closely with founders.

Lead the Contracts product roadmap for a B2B healthcare SaaS platform, applying deep reimbursement and managed care expertise. Partner with AI engineers to build contract-understanding models, drive adoption, iterate on workflows, create business cases, and coordinate cross-functionally with Legal, Finance, Sales, and SMEs to ensure compliant, revenue-aligned contract execution.

Own planning, scoping, and execution of tactical features and improvements for the Contracts product. Triage confirmed issue reports and support feedback, identify themes, prioritize engineering-ready requirements, perform UAT, partner with Customer Success and Engineering, and help operationalize intake and AI-powered workflows.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.

Lead selection and operationalization of AI risk management frameworks (e.g., NIST AI RMF, ISO/IEC 42001). Translate standards into controls, templates, and documentation; perform gap analyses and remediation; produce AI transparency artifacts (model/data/system cards); map controls across frameworks; support governance committees, audit readiness, training, and ongoing monitoring of evolving AI standards and regulations.

Lead deployment and onboarding of contact center software: gather requirements, design and deploy IVR workflows, train clients, manage UAT and SOWs, coordinate internal teams, handle escalations, provide post-implementation support, and ensure timely delivery and client satisfaction.

Design and build data and model layers for an accredited AI decision-support system: record matching, calibrated scoring, provenance-tracked retrieval and generation, secure ingestion pipelines, model packaging/serving, and instrumentation for audit and accreditation.

Support full sales cycle for a hardware-enabled proptech SaaS: perform technical discovery, deliver tailored demos, generate quotes/proposals/RFPs, partner with operations, automate workflows with an AI-first approach, and maintain CRM and forecasting accuracy to improve conversion and deployment consistency.