Top Tech Jobs & Startup Jobs in Oklahoma City, OK

Drive new and existing business for labels and envelopes within the Greater Grand Rapids territory. Prospect, present, price, negotiate, close deals, manage accounts, and coordinate with production to ensure order fulfillment. Participate in a six-month training program in Milwaukee before working independently in-territory, traveling daily to meet clients.

Develop and maintain client relationships in the Greater Grand Rapids territory to drive envelope and label sales. Prospect new accounts, present solutions, prepare quotes, negotiate and close deals, coordinate with production for fulfillment, and maintain sales records while traveling daily within the territory.

Provide data-driven recommendations to support operations and growth. Build and maintain dashboards, reports, analyses, and automations using SQL, BI tools, Google Sheets, and AI. Enforce data governance, perform data audits, validate AI-assisted outputs, train teams, and champion AI adoption to improve analytics efficiency and decision-making.

Work on product AI team combining research and development to create and test security-focused AI use cases. Generate threat data, emulate APT attacks, write Python and shell automation, build repeatable tests, evaluate AI model effectiveness for SOC workflows, and influence engineering priorities through data-driven findings.

Perform due diligence and research across public market asset classes, maintain a focus list of recommended investment strategies, present recommendations to the Enterprise Investment Policy Committee, support advisors and client onboarding, lead RFPs and manager searches, mentor associates, and contribute to research reports and special projects.

Conduct due diligence and evaluate public markets asset classes, maintain a focus list of recommended strategies, present recommendations to the Enterprise Investment Policy Committee, support advisors with manager searches and client meetings, produce research deliverables and educational materials, lead RFPs for large relationships, mentor associates, and support onboarding, conferences, and special projects.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake. Architect data foundations to power AI and LLM-enabled workflows, operationalize core SaaS metrics, and build reusable data assets for analytics and activation. Partner cross-functionally to embed analytics into workflows and ensure scalable, secure architecture.

Drive expansion revenue for mid-tier SaaS accounts by owning upsell/cross-sell targets, managing expansion pipeline, forecasting in HubSpot/Domo, leading QBRs, and collaborating with Customer Success and cross-functional teams to ensure retention and growth.

Own relationships for 40–50 mid-market GovCon accounts to drive adoption and value from an AI-driven proposal platform. Execute value plans, deliver business reviews, monitor account health, surface risks, enable expansions, train users, partner with Account Managers, and translate customer feedback into product input.

Provide technical support for Automation Anywhere products across cloud and on-prem environments: diagnose issues, analyze logs and workflows, troubleshoot infrastructure/configuration, handle tickets and remote sessions, escalate complex problems, document solutions, and participate in 24x7 rotational shifts to maintain high customer satisfaction.

Lead and grow a team of offensive security engineers, ensure high-quality red team, application, and cloud security engagements, drive operational metrics (utilization, margin, NPS), integrate field findings into product, champion AI/automation, and support sales and client relationships at executive levels.

Lead end-to-end application and product security for a Kubernetes-based multi-tenant platform. Perform deep security reviews of Go services, Kubernetes controllers, and frontends; lead threat modeling; integrate automated security checks into CI; manage vulnerability lifecycle; develop security-related features; and train developers on secure coding and attack vectors.

Lead design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.

Lead product direction for cloud-native GPU infrastructure and Kubernetes virtualization. Translate business priorities into technical specs, run alpha/beta validations, engage platform-engineer customers, define market positioning, and align engineering, sales, and marketing to ship and support scalable multi-tenant GPU platforms.