Top Tech Jobs & Startup Jobs in Oklahoma City, OK

Manage and grow a portfolio of small-to-mid business or multi-location accounts via high-volume outbound calling. Close renewals and upsells, generate quotes, process orders, maintain Salesforce records, build pipeline, and meet ARR retention goals while addressing client objections and compliance for renewal agreements.

Responsible for design, programming, testing, and implementing integrations for the Workforce Management System, ensuring accuracy in Time & Attendance and Labor Management data.

Support and maintain Oracle APEX and OBIEE applications, document functionalities, handle help desk cases, and report on tasks completed.

The Personality position involves taking food orders, acting as a cashier, greeting guests, preparing drinks, and maintaining cleanliness in the restaurant.

The Senior Oracle Enterprise Engineer role involves installing and implementing Oracle Enterprise Manager in enterprise environments, ensuring high availability, monitoring, notification, and technical guidance for complex IT systems.

The National Account Manager - Channel drives growth through strategic channel accounts, develops sales strategies, analyzes market data, and maintains executive relationships to enhance customer experience and revenue.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

The Weitzman Education Specialist manages education interventions, supports project planning, engages stakeholders, and coordinates with faculty. Responsibilities also include data analysis and educational material development.

This role involves being the primary technical contact for key Fastly customers, managing relationships, resolving escalations, and mentoring team members. The engineer will utilize technical expertise in cloud architecture, networking, and scripting to improve client operations, support product implementation, and advocate for the customer's needs.

Identify and prioritize endpoint and identity exposure risks (EDR, AD/Entra, PAM, MFA), map attacker paths, produce remediation plans, validate fixes, and partner with IAM and endpoint teams to reduce exploitability and improve posture.

Design and implement AI-powered data pipelines and LLM-based mapping to parse, normalize, and validate structured and unstructured data. Build mapping logic, ingestion templates, and load-ready outputs; integrate ML/AI solutions with enterprise systems (APIs, databases, Azure); validate accuracy with stakeholders; document for scalability and production readiness while reducing manual mapping and improving data quality.