Top Tech Jobs & Startup Jobs in Oklahoma City, OK

The Backend Engineer will develop infrastructure for product integration, create documentation for team training, and influence technology decisions.

Lead end-to-end onboarding for PEO clients: build implementation plans for payroll, benefits, tax registrations and HR compliance; manage timelines, parallel payroll reconciliations, platform adoption, cross-functional handoffs, and continuous improvements to implementation tooling and documentation.

Build and productionize AI systems for logistics: multi-agent copilots, forecasting/optimization models, evaluation and observability, continuous learning loops, and operational reliability. Mentor engineers and make build-vs-rule tradeoffs while shipping high-impact ML services.

Lead strategy, architecture, and operating model for an enterprise AI-ready data platform. Define semantic models, knowledge graph and ontology standards, data governance, APIs, and commercialization for reusable intelligence products. Drive platform evolution, technology selection, cross-functional partnerships, and build a high-performing data architecture and engineering team supporting LLMs, RAG, vector search, and regulated environments.

Lead product strategy and roadmap across Archive's retail resale platform. Own prioritization, drive AI-first product decisions, partner tightly with Engineering and cross-functional teams, hire and develop the product org, and deliver measurable business outcomes (GMV, supply, demand, margin).

Lead architecture and delivery of enterprise DDI solutions (Infoblox-focused) including migrations, upgrades, re-architecture, and lifecycle engineering. Produce design artifacts, testing and cutover plans, and guide long-term DDI strategy. Support pre-sales with demos, discovery, POCs, solution design, and RFP/RFI responses while partnering with Account Executives to capture new business.

Lead and execute StarCompliance's data and AI strategy: build a governed data foundation, deliver production-grade LLM and ML capabilities (RAG, semantic search, vector DBs), establish MLOps, and grow a cross-functional Data & AI team aligned with product and business priorities in a regulated financial environment.

Evaluate life insurance applicants end-to-end, focusing on mortality risk. Order and review underwriting requirements, enter medical history data, finalize cases, and make advanced risk-selection decisions while meeting productivity, quality, and performance standards.

Execute, monitor, and optimize high-velocity social and digital ad campaigns across major platforms. Support campaign setup, reporting, and performance analysis using Salesforce, DSPs, and internal tools. Collaborate with cross-functional teams, present insights, and use Excel/Google Suite to manipulate data and improve media spend efficiency.

Design, run, and improve CI/CD systems and developer workflows for a Kubernetes-based polyglot monorepo. Build fast, reliable pipelines, local-to-prod developer paths, observability for builds, and partner with product teams to raise release quality and delivery velocity.