Top Remote Jobs in Tulsa, OK

Own the commercial performance, strategy, pricing, roadmap, and go-to-market execution for Pearson’s Knowledge Suite and Pearson Live Training offerings. The role connects enterprise learning market insight, customer discovery, financial outcomes, learning quality, and AI-enabled transformation. Responsibilities include managing P&L, developing portfolio priorities, coordinating cross-functional teams, supporting sales and marketing, defining success metrics, and using learner and customer data to guide investment decisions.

Leads the design, implementation, and support of complex, scalable software components and distributed systems. Provides technical leadership through architecture decisions, mentoring, code and design reviews, troubleshooting, and engineering standards. Partners with product, quality, architecture, and DevOps teams on secure cloud-native solutions, CI/CD, observability, performance, releases, and platform modernization. Participates in hiring and communicates technical risks and tradeoffs to stakeholders.

Build and scale secure data lakehouse and warehouse infrastructure supporting analytics, machine learning, clinical AI performance monitoring, and self-service insights. Develop scalable data pipelines, models, orchestration, quality controls, and LLM-enabled analytics tools using heterogeneous clinical and EHR data. Collaborate with engineering, data science, clinical, product, and client success teams to establish trustworthy metrics and technical solutions.

Own the Lighthouse healthcare platform backlog from problem discovery through launch, including specifications, acceptance criteria, prioritization, QA, release readiness, and outcome measurement. Collaborate with engineering, design, data science, clinical operations, compliance, security, and legal teams to deliver safe clinical and agentic capabilities, predictive-model workflows, and care-team productivity improvements. Establish continuous discovery, define product metrics, coordinate agile delivery, and ensure human-in-the-loop clinical review.

Designs, develops, tests, and deploys scalable batch and streaming data pipelines using Databricks, Python, SQL, and PySpark. Builds ingestion, transformation, governance, monitoring, and data quality frameworks across Azure or AWS environments. Develops analytical data models and CI/CD processes, optimizes Spark performance, troubleshoots deployments, and collaborates with data scientists, analysts, business users, and technical teams. Provides technical leadership, mentoring, documentation, and support in an agile consulting environment.

Leads technical delivery for Salesforce Marketing Cloud engagements, owning solution architecture, data models, integrations, standards, code and configuration review, testing, deployments, and client technical discussions. Builds journeys, automations, data extensions, content, AMPscript, and server-side JavaScript while validating segments and platform capabilities. Uses and governs AI tools for development, documentation, review, and testing. Mentors consultants and supports adoption of Marketing Cloud Next and Data 360.

Lead end-to-end marketing solution architecture for a Salesforce program, including discovery, requirements, journeys, segmentation, consent, data modeling, integrations, testing, and client sign-off. Partner with technical leads across Salesforce Core, Marketing Cloud, Data 360, Agentforce, and enterprise data platforms. Use AI tools to draft and validate requirements and designs, prototype solutions, and review generated work for accuracy. Explain complex solutions to technical and non-technical stakeholders while guiding implementation and change decisions.

Drive new business for an on-demand pay solution by prospecting, demonstrating product value, negotiating and closing deals, and collaborating with marketing, product, and customer success to ensure client satisfaction and retention.

Partners with business leaders to translate strategic priorities into technology strategies, roadmaps, requirements, and scalable solutions. Designs, develops, configures, and supports Salesforce capabilities, integrations, automation, reporting, security, and data models. Evaluates emerging platforms, builds proofs of concept, manages technology initiatives and stakeholders, and ensures solutions address scalability, compliance, privacy, security, and business value. Communicates priorities, risks, progress, and recommendations across business and Technology leadership.

Supports marketing programs including consumer growth, email, social media, events, webinars, and sales enablement. Creates campaign materials and social content, builds outbound sequences, maintains contact lists, tracks campaign performance, prepares reports, coordinates event logistics, and collaborates with Sales, Product, and Customer Success. Uses AI tools for content creation and campaign analysis.

Leads global AI integration across software engineering platforms and manages distributed engineering leaders across three countries. Drives adoption of AI-assisted development tools, modernizes software delivery workflows, oversees security and compliance, and integrates AI into React, .NET, Java, Salesforce, and MuleSoft platforms. Requires extensive software development and senior engineering leadership experience, plus expertise in cloud, SaaS architecture, privacy, tenant isolation, and enterprise AI transformations.

Develop fraud detection and identity-risk machine learning models from problem definition through production deployment. Responsibilities include investigating fraud patterns, exploratory analysis, feature engineering, model training and evaluation, production-quality Python and PySpark development, monitoring model and feature drift, and presenting analytical recommendations. The role requires collaboration with data scientists and engineers while addressing privacy, explainability, validation, governance, and real-world fraud-modeling challenges such as class imbalance and delayed labels.

Sell Flai’s AI-native sales CRM to automotive dealerships and dealer groups. Responsibilities include prospecting, discovery, tailored demonstrations, pilot design, proposals, negotiation, closing, expansion, pipeline management, forecasting, and customer handoff. The role requires evaluating dealership sales workflows, managing CRM replacement concerns, coordinating data migration and rollout plans, and providing competitive feedback to product and founders. This is a remote position with deal-related travel.

Identifies and develops business opportunities, partnerships, and stakeholder relationships for autonomous and unmanned systems solutions. Responsibilities include researching markets, tailoring mission capabilities, negotiating proposals, closing deals, executing technology-driven strategies, collaborating cross-functionally, and reporting on KPIs. The role serves defense and government customers in a remote environment and requires strong communication, analytical, strategic planning, and business development abilities.

Designs and builds cloud-native maintenance planning software for U.S. Navy and defense customers. Responsibilities include modernizing legacy systems, developing data transformations and APIs, designing microservices, implementing identity and access controls, ensuring data quality and compliance, and leading architecture and technical delivery. The role collaborates with government, vendor, platform, and engineering stakeholders, mentors engineers, documents systems, and supports development through production sustainment in a remote environment.