Top Remote Jobs in Tulsa, OK

Application for the 2026 Progressive Talent Pipeline endorsement cohort. Applicants must submit a resume, brief biography, required short-answer responses, and essays addressing government interest, policy priorities, elected officials, and the Biden administration. The program supports individuals interested in future roles in Congress, federal agencies, and state or local government. Applications are reviewed on a rolling basis through October 25, 2026.

Own a portfolio of client accounts and manage Meta lead-generation campaigns from strategy through execution. Lead client calls, deliver performance reports, optimize budgets and targeting, test creative and messaging, and improve cost-per-appointment results. Set up and troubleshoot pixels, conversion events, Calendly integrations, Zapier automations, and lead-routing workflows. Maintain client relationships, resolve account issues, and support retention, renewals, and referrals.

Designs and prototypes scalable agentic AI architectures across Azure, AWS, or GCP. Responsibilities include multi-agent orchestration, LLM applications, RAG pipelines, memory and vector search, enterprise integrations, cloud-native engineering, code reviews, AI governance, security guardrails, and stakeholder leadership. The role requires hands-on development, framework evaluation, and translating business needs into production-ready AI platforms.

Build executive-facing dashboards, scalable data models, semantic layers, and reporting datasets using dbt, Looker, and SQL. Analyze large datasets, identify trends and anomalies, manage the Looker analytics platform, resolve data quality issues, and deliver analytics initiatives across business domains. Partner with product, engineering, finance, and operations stakeholders to define metrics and reporting solutions. Mentor junior analytics engineers and improve analytics standards and documentation.

Evaluates student financial aid eligibility, awards grants and loans, verifies Title IV documentation, calculates returned funding, completes Return to Title IV evaluations, resolves complex aid issues, and adjusts student accounts while maintaining regulatory compliance and performance standards.

Leads the InCommand Operations team supporting data center customers and sites. Responsibilities include managing and developing engineers, maintaining operating standards, leading customer and site implementations, building and validating facility data, using AI and automation for data workflows, supporting platform users, producing reports, coordinating with development teams, documenting defects, and testing releases. Requires data center experience, people management, project leadership, SCADA and construction-document knowledge, strong data skills, and customer communication abilities.

Manage partner brands through ServiceTitan onboarding, implementation, adoption, optimization, and long-term success. Lead project timelines and go-live execution, translate legacy workflows into scalable processes, train and coach operational teams, resolve escalations, review performance scorecards, and drive continuous improvement across multiple residential service brands.

Own product marketing for Qdrant’s developer-facing AI infrastructure, including positioning across self-serve, cloud upgrades, and enterprise sales. Develop buyer scenarios, competitive programs, sales enablement, win-loss research, AI-powered workflows, and launch messaging. Partner with Product, DevRel, Growth, Sales, and Partnerships to support activation, upgrades, enterprise deals, and customer insight programs.

The Senior QA Engineer will design and execute testing strategies for reporting systems, data extracts, and business intelligence outputs. Responsibilities include writing and reviewing complex SQL, tracing data lineage across source systems and ETL pipelines, validating calculations and metrics, investigating discrepancies, documenting defects, and maintaining test documentation and version-controlled scripts. The role collaborates with data engineers, reporting teams, and business stakeholders to improve data quality and ensure accurate, reliable reporting.

Conduct independent AI research spanning large language models, reasoning, knowledge acquisition, factuality evaluation, and trustworthy AI. Translate research ideas into scalable prototypes, implement and extend state-of-the-art methods, design experiments, develop algorithms and evaluation methods, use AI-assisted development tools, and communicate findings through technical reports and research papers.