Top Remote Entry Level Jobs in Dallas, TX

Maintain and support enterprise AI tool environments, develop AI-powered tools and automation, troubleshoot platform issues, manage licenses and access controls, and ensure data governance compliance. Partner with users, IT, security, vendors, and department leaders to identify use cases, standardize workflows, improve adoption, deliver training, and maintain AI support documentation and knowledge bases.

Lead enterprise data platform architecture and client implementations centered on Databricks and lakehouse technologies. Design data models, governance, security, scalable pipelines, CI/CD, observability, and cost-management strategies. Develop and optimize batch and streaming workloads using Spark, PySpark, Scala, and SQL across cloud and hybrid databases. Mentor data engineering teams, review architectures and code, resolve complex platform issues, and collaborate with business, security, infrastructure, BI, and ML stakeholders to deliver reliable data products.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Own the full enterprise sales cycle for an AI-powered research SaaS platform, from prospecting and qualification through negotiation and close. Build executive relationships, demonstrate product value, exceed revenue targets, identify market opportunities, and collaborate with founders, product, and customer success. The role requires experience selling complex SaaS to enterprise accounts and managing significant negotiations in a fast-paced startup environment.

Manages and grows an industrial sales territory in Central Texas by selling compressed air equipment, aftermarket solutions, service contracts, and technical services. Develops customer relationships, identifies opportunities, negotiates orders, conducts equipment surveys and air audits, supports technical issue resolution, and maintains Salesforce opportunities. Collaborates with service technicians, applications engineering, inside sales, and customer service teams to increase sales, margins, and customer satisfaction.

Own and grow named enterprise accounts across North America, managing complex sales cycles from discovery through technical validation, negotiation, and contract execution. Build relationships with security, infrastructure, procurement, and legal stakeholders; develop account plans; qualify opportunities using MEDDPICC; maintain accurate CRM records, forecasts, and deal progression; and expand existing accounts in partnership with account and renewal managers.

Support attorneys with legal research, document preparation (briefs, memos, reports), case management, and regulatory monitoring. Analyze environmental law issues, maintain organized case files, collaborate on case strategies, and assist in preparing materials for client matters.

Build and manage relationships with mortgage brokers and bankers, acquire and onboard new partners, maintain a sales pipeline, present loan products, support approval documentation, close new business, meet sales targets, and document activities and forecasts in CRM systems. The role requires visiting broker partners three days per week and collaborating with internal sales, marketing, product, and risk teams.

Provides customer support for Stone Eagle applications by answering calls and emails, resolving product issues, completing client requests, troubleshooting problems, training users, documenting processes, and escalating unresolved issues. Uses Salesforce and Five9 to track communications and follow-up. Requires strong communication, research, analytical, problem-solving, data-entry, math, prioritization, and customer-service skills, along with knowledge of the retail automotive industry.

Own data quality, governance, KPI definitions, and reporting integrity for Verizon Value. Build and maintain Power BI dashboards, datasets, semantic models, scorecards, and automated reporting solutions. Investigate discrepancies, establish validation processes, standardize reporting, and collaborate with analytics, engineering, operations, client services, and Verizon stakeholders to improve data trust, reporting efficiency, and client outcomes.