Top Tech Jobs & Startup Jobs in Oklahoma City, OK

Design, develop, and evaluate AI safety assessment systems focused on LLMs and NLP. Investigate incident reports, conduct literature reviews, create and run NLP/LLM assessments, code or train text analytics, document methods, publish research, and collaborate with engineering teams to scale assessment tools.

Design, build, test, and maintain production-ready, scalable API services and platform solutions using microservices and containerization. Collaborate with engineers, Data Engineers, CloudOps and Product to deploy and operate services on cloud platforms, ensure observability and readiness, and participate in Agile lifecycle activities.

Manage technical delivery of cyber range engagements: coordinate environments, lead exercise planning and execution, support AI agent training/validation, liaise between customers and Professional Services, document outcomes, and maintain customer relationships. Travel up to 25%.

Manage end-to-end procure-to-pay processes including 3-way PO matching, invoice processing, and payment execution. Reconcile non-PO invoices, approve employee reimbursements, code and reconcile corporate cards, onboard vendors and handle 1099s. Support month-end close with accruals and reconciliations, maintain audit-ready documentation, and drive AP process improvements and system implementations.

Operate and maintain the Workforce Management function during a six-month contract: validate AI demand forecasts, translate forecasts into staffing and schedules, manage BPO capacity and invoices, co-own labor cost modeling with Finance, deliver hiring recommendations, maintain reporting cadences, and coordinate cross-functionally with Product, Marketing, Data Science, and Ops leadership.

Lead and execute full-lifecycle technical recruiting for engineering, data science, ML/AI, infrastructure, and security. Build and manage a high-performing technical recruiting team, implement scalable processes and AI-enabled sourcing tools, partner with engineering leadership for hiring strategy, and track recruiting metrics to continuously improve quality and efficiency.

Lead Customer Success and retention for background screening clients, driving product adoption, renewals, up-sell, and operational improvements. Partner cross-functionally with Product, Compliance, Operations, and Sales, manage global retention teams, integrate acquired teams, and serve as executive escalation for critical accounts. Use analytics (TAT, accuracy, churn, NPS) to inform strategy.

Lead and build the AI Quality & Governance platform: observability, evaluations, guardrails, SLOs, and incident playbooks. Design automated and human-in-the-loop evaluation pipelines, enforce release gates, translate governance frameworks into engineering controls, partner with product teams on AI incidents, and hire and grow a hands-on engineering team while contributing substantial production code.

The Sales Consultant will collaborate with clients to provide tailored technology solutions, support the sales process, and leverage industry insights to drive revenue growth.

Manage a portfolio of 3-5 enterprise healthcare SaaS accounts to drive implementation, adoption, and ROI. Lead QBRs, onsite clinician training, executive relationships, and revenue expansion while coordinating EMR integrations and deployment playbooks.

Develop and refine compelling, compliant proposals and bid responses by collaborating with sales, SMEs and design. Manage multiple proposals, lead discovery sessions, write and edit content, maintain templates and content library, and tailor materials to client needs on Pacific Time.

Design, build, and maintain shared backend platform services (C#/.NET, Node/TypeScript, Postgres/Redis, AWS). Improve reliability, performance, observability, and CI/CD for high-throughput, transaction-heavy workflows. Collaborate with product, payments, data, and infra teams, drive architecture and rollout, mentor engineers, and adopt AI-assisted development practices.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The Data Engineer I at Storable supports the design and maintenance of data pipelines, works with ETL processes, optimizes workflows, and collaborates with various teams to enhance data accessibility and reliability.

The Senior Full-Stack Engineer at SafeRide Health will develop and maintain healthcare applications, ensuring high performance and security while collaborating with cross-functional teams in an agile setting.

Lead and scale the Strategy & Operations function as COO's operating partner. Manage ~10 FTEs, drive cross-functional projects across Operations, Product, Client Success, Finance, and People; build analyses, models, and recommendations; improve operational scalability, profitability, tooling, and processes; act as a player-coach translating frontline needs into product and operational changes.

As an iOS Engineer, you'll design and implement the mobile app's upload flows, optimize performance, and collaborate with backend and ML teams on features.

As a Fraud ML Engineer, you will ensure authentic human data is processed by building detection systems using adversarial ML techniques and managing backend systems.