Top Tech Jobs & Startup Jobs in Oklahoma City, OK

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.

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 inbound consultative sales calls with students and parents, manage prospects through enrollment using HubSpot, close high-value service packages, meet sales targets, optimize scripts/processes, collaborate with marketing/counseling/finance, forecast enrollments, and support onboarding and customer success.

Lead consultative inbound calls, build relationships with prospective students and parents, recommend programs, close high-value enrollments, manage full sales cycle in HubSpot, forecast enrollments, collaborate cross-functionally, and improve scripts and processes to drive revenue and ensure strong onboarding and customer success.

Lead inbound consultative sales conversations with prospective students and families, manage relationships from first touch through enrollment, close high-value packages, use HubSpot to forecast and track deals, collaborate cross-functionally, and continuously optimize scripts and processes to improve conversion and student experience.

Supervise the Workers' Compensation team, manage performance and disciplinary actions, meet department benchmarks, train new hires, monitor quality/productivity, review denial requests, analyze accounts, recommend process improvements, communicate with clients, and maintain PHI confidentiality.

Define architecture and technical strategy for an AI Agent Factory: build MCP server and AI-ready data access, integrate LLMs with semantic layers, enforce governance (auth, audit, PII protection), design evaluation frameworks, and establish company-wide standards for secure, scalable, observable AI deployments.

Lead delivery of AI-enabled workflows for contractor onboarding, credentialing, and operator compliance. Define scoped projects, metrics (cycle time, error reduction, automation, adoption, safety), partner cross-functionally, and drive customer adoption and measurable safety and efficiency improvements.

Early-to-mid career Product Manager to translate customer needs into product requirements for AI-driven scientific SaaS. Work cross-functionally with engineering, AI/ML, solutions, and commercial teams to prioritize backlog, run discovery, support launches, gather customer feedback, and define product metrics for customers in chemistry, manufacturing, and energy.

Manage and grow an enterprise portfolio (Fed/SLED), drive adoption and ROI of the Abnormal platform, develop strategic success plans, identify expansion opportunities, build executive relationships, monitor health and mitigate risk, and collaborate cross-functionally to ensure renewals and customer satisfaction.

Serve as primary customer liaison to drive onboarding, adoption, retention, and ROI. Build executive relationships, deliver QBRs, monitor health, manage escalations, coordinate cross-functional teams, and promote product adoption and roadmap alignment to maximize customer value.

Lead and scale the Customer Success team to drive retention, satisfaction, and expansion. Develop strategy, KPIs, and playbooks; manage onboarding, renewals, and escalations; collaborate with Sales, Product, and Marketing to identify upsell opportunities; implement success tools and analyze customer data to improve adoption and lifetime value.

Own and prioritize the product backlog, write detailed user stories with acceptance criteria, participate in Scrum ceremonies, liaise with stakeholders, clarify requirements for engineering, accept completed work, and continuously re-prioritize features to deliver high-quality B2B SaaS product functionality.