Sales Enablement Specialist Jobs in Texas
Sales Enablement Specialist jobs in Texas are among the most active in the country, concentrated in enterprise software, financial services, healthcare technology, and energy, with openings at every level from coordinator to senior director. Dallas-Fort Worth, Austin, and Houston lead hiring volume, anchored by employers like Dell Technologies, Oracle, and Salesforce, all of which maintain large Texas operations. The most in-demand specialties are sales training program development, CRM platform enablement, and revenue operations alignment. Find a role that fits below and apply directly.
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Showing 5 of 6+ Sales Enablement Specialist jobs
ROLE AND RESPONSIBILITIES
- Serve as the organization’s primary expert on enterprise market-leading and approved generative AI tools, including their capabilities, limitations, and appropriate uses.
- Partner with department leaders, designated AI champions, and subject-matter experts to understand workflows, identify opportunities, and prioritize AI use cases based on value, feasibility, risk, and data sensitivity.
- Translate business and technology needs into practical AI-assisted solutions without acting as the functional subject-matter expert or final decision-maker.
- Design, test, document, and maintain reusable prompts, platform capabilities and skills, instructions, templates, and AI-enabled workflows tailored to departmental needs.
- Help teams organize source documents, examples, instructions, and contextual information to improve the accuracy, consistency, and usefulness of AI-generated outputs.
- Recommend the appropriate use of chat, platform capabilities and skills, AI enabled coding, document analysis, APIs, connectors, MCP tools, and other approved capabilities.
- Define input requirements, expected outputs, validation criteria, human-in-the-loop checkpoints, approval requirements, and escalation procedures for AI-assisted workflows.
- Work with department subject-matter experts to evaluate outputs for accuracy, completeness, consistency, and business usability.
- Assist technology and data teams with AI-enabled activities such as SQL development, data integration, schema analysis, Power BI, Excel, PowerApps, analytics, code review, testing, technical documentation, and syntheticdata creation.
- Assist knowledge workers and business teams with summarizing emails, meetings, and documents; drafting communications; organizing tasks; preparing for meetings; analyzing information; and creating presentations and business narratives and increasing overall efficiencies.
- Support document-intelligence use cases, including extracting structured information, comparing documents, summarizing content, and enabling approved natural-language access to sensitive documents.
- Partner with Finance, Accounting, Revenue Cycle, Clinical, and other business teams to develop controlled AIassisted workflows, while ensuring qualified departmental experts retain responsibility for validation and final decisions.Develop and deliver role-based training, demonstrations, job aids, and hands-on coaching to help users apply AI effectively and responsibly in their daily work.
- Explain generative AI risks and limitations, including hallucinations, incomplete or outdated information, inconsistent outputs, data exposure, and overreliance on AI-generated recommendations.
- Partner with Security, Privacy, Compliance, Legal, Data, and Technology teams to ensure AI solutions comply with HIPAA, PHI and PII requirements, organizational policies, security controls, and contractual obligations.
- Help maintain guidance identifying approved, restricted, and prohibited AI tools, features, data types, integrations, and use cases.
- Monitor adoption, user feedback, productivity gains, output quality, risk indicators, and business value, and recommend improvements to workflows, training, governance, and technology configurations.
- Developing quantitative metrics to ensure desired outcomes are met such as accuracy, efficiency, productivity, and other expected success criteria.
- Maintain awareness of changes to enterprise, market-leading AI platforms and contribute to the organization's AI strategy, governance, pilot programs, and adoption roadmap.
MINIMUM QUALIFICATIONS AND REQUIREMENTS
- 3+ years of experience in one or more areas related to the primary duties, such as technology consulting, business analysis, solution implementation, process improvement, automation, data and analytics, enterprise technology adoption, or user training.
- Demonstrated hands-on experience with enterprise generative AI platforms and capabilities, including AIassisted workflows, prompt development, reusable instructions or Skills, AI-assisted code development, and use of APIs or integrations.
- Demonstrated experience applying generative AI to business or technology workflows through enterprise implementations, consulting engagements, pilots, or significant AI projects.
- Experience designing and evaluating AI-assisted workflows, including output validation, human-in-the-loop review, and user enablement or training.
- Strong understanding of generative AI risks, limitations, data privacy, responsible AI use, and the handling of confidential or sensitive information.
- Strong working knowledge of the broader generative AI ecosystem, emerging capabilities, tools, and enterprise use cases.
- Strong communication, facilitation, problem-solving, documentation, and stakeholder-management skills.
- Bachelor’s degree in a relevant field or equivalent combination of education and professional experience.
PREFERRED EXPERIENCE
- Experience supporting enterprise AI adoption, secure AI workflows, change management, governance, or regulated business environments.
- Experience in healthcare or familiarity with HIPAA, PHI, PII, and healthcare information-security practices.
- Familiarity with Microsoft technologies, APIs, MCP, enterprise connectors, retrieval-based solutions, or secure system integrations.
ROLE AND RESPONSIBILITIES
- Serve as the organization’s primary expert on enterprise market-leading and approved generative AI tools, including their capabilities, limitations, and appropriate uses.
- Partner with department leaders, designated AI champions, and subject-matter experts to understand workflows, identify opportunities, and prioritize AI use cases based on value, feasibility, risk, and data sensitivity.
- Translate business and technology needs into practical AI-assisted solutions without acting as the functional subject-matter expert or final decision-maker.
- Design, test, document, and maintain reusable prompts, platform capabilities and skills, instructions, templates, and AI-enabled workflows tailored to departmental needs.
- Help teams organize source documents, examples, instructions, and contextual information to improve the accuracy, consistency, and usefulness of AI-generated outputs.
- Recommend the appropriate use of chat, platform capabilities and skills, AI enabled coding, document analysis, APIs, connectors, MCP tools, and other approved capabilities.
- Define input requirements, expected outputs, validation criteria, human-in-the-loop checkpoints, approval requirements, and escalation procedures for AI-assisted workflows.
- Work with department subject-matter experts to evaluate outputs for accuracy, completeness, consistency, and business usability.
- Assist technology and data teams with AI-enabled activities such as SQL development, data integration, schema analysis, Power BI, Excel, PowerApps, analytics, code review, testing, technical documentation, and syntheticdata creation.
- Assist knowledge workers and business teams with summarizing emails, meetings, and documents; drafting communications; organizing tasks; preparing for meetings; analyzing information; and creating presentations and business narratives and increasing overall efficiencies.
- Support document-intelligence use cases, including extracting structured information, comparing documents, summarizing content, and enabling approved natural-language access to sensitive documents.
- Partner with Finance, Accounting, Revenue Cycle, Clinical, and other business teams to develop controlled AIassisted workflows, while ensuring qualified departmental experts retain responsibility for validation and final decisions.Develop and deliver role-based training, demonstrations, job aids, and hands-on coaching to help users apply AI effectively and responsibly in their daily work.
- Explain generative AI risks and limitations, including hallucinations, incomplete or outdated information, inconsistent outputs, data exposure, and overreliance on AI-generated recommendations.
- Partner with Security, Privacy, Compliance, Legal, Data, and Technology teams to ensure AI solutions comply with HIPAA, PHI and PII requirements, organizational policies, security controls, and contractual obligations.
- Help maintain guidance identifying approved, restricted, and prohibited AI tools, features, data types, integrations, and use cases.
- Monitor adoption, user feedback, productivity gains, output quality, risk indicators, and business value, and recommend improvements to workflows, training, governance, and technology configurations.
- Developing quantitative metrics to ensure desired outcomes are met such as accuracy, efficiency, productivity, and other expected success criteria.
- Maintain awareness of changes to enterprise, market-leading AI platforms and contribute to the organization's AI strategy, governance, pilot programs, and adoption roadmap.
MINIMUM QUALIFICATIONS AND REQUIREMENTS
- 3+ years of experience in one or more areas related to the primary duties, such as technology consulting, business analysis, solution implementation, process improvement, automation, data and analytics, enterprise technology adoption, or user training.
- Demonstrated hands-on experience with enterprise generative AI platforms and capabilities, including AIassisted workflows, prompt development, reusable instructions or Skills, AI-assisted code development, and use of APIs or integrations.
- Demonstrated experience applying generative AI to business or technology workflows through enterprise implementations, consulting engagements, pilots, or significant AI projects.
- Experience designing and evaluating AI-assisted workflows, including output validation, human-in-the-loop review, and user enablement or training.
- Strong understanding of generative AI risks, limitations, data privacy, responsible AI use, and the handling of confidential or sensitive information.
- Strong working knowledge of the broader generative AI ecosystem, emerging capabilities, tools, and enterprise use cases.
- Strong communication, facilitation, problem-solving, documentation, and stakeholder-management skills.
- Bachelor’s degree in a relevant field or equivalent combination of education and professional experience.
PREFERRED EXPERIENCE
- Experience supporting enterprise AI adoption, secure AI workflows, change management, governance, or regulated business environments.
- Experience in healthcare or familiarity with HIPAA, PHI, PII, and healthcare information-security practices.
- Familiarity with Microsoft technologies, APIs, MCP, enterprise connectors, retrieval-based solutions, or secure system integrations.
See All 6 Sales Enablement Specialist Jobs in Texas
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Find JobsSales Enablement Specialist Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Sales Enablement Specialist Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
What Texas Employers Look For
The qualifications that appear most often in sales enablement specialist jobs across Texas.
- Bachelor's degree in business, marketing, communications, or a related field
- Three or more years of experience in sales enablement, sales operations, or a direct sales role
- Proficiency with CRM platforms such as Salesforce and sales engagement tools
- Demonstrated ability to build and deliver sales training content and playbooks
- Experience collaborating cross-functionally with sales, marketing, and product teams
- Strong data analysis skills to measure enablement program effectiveness and adoption
Sales Enablement Specialist Jobs in Texas: Frequently Asked Questions
How do you become a sales enablement specialist in Texas?
The most direct path is a bachelor's degree in business, marketing, or communications followed by experience in a sales, sales operations, or marketing role. Texas has no state-issued license or exam for this position. Employers across Dallas-Fort Worth, Austin, and Houston consistently prefer candidates who hold a Certified Sales Enablement Professional (CSEP) credential or a Salesforce certification, both of which are widely recognized by Texas tech and enterprise employers as practical proof of competency.
Which companies hire sales enablement specialists in Texas?
Employers hiring sales enablement specialists in Texas right now include Avetta, CBRE, and MPOWERHealth, based on current listings on Migrate Mate as of September 2026. Texas's deep concentration of enterprise software, financial services, and healthcare technology companies means demand for enablement professionals stays consistent year-round across the state.
Which Texas cities have the most sales enablement specialist jobs?
Dallas, Plano, and Waller have the most sales enablement specialist openings in Texas. Dallas-Fort Worth drives the largest share because of its dense cluster of corporate headquarters, regional sales offices for national firms, and a mature enterprise technology sector, while Austin's growth as a tech hub and Houston's energy and healthcare industry base each sustain steady demand in their own right.
Are there remote sales enablement specialist jobs in Texas?
Yes, and more than most fields. Sales enablement work centers on content creation, virtual training delivery, and CRM administration, all of which translate well to remote or hybrid arrangements. About 0% of sales enablement specialist openings tied to Texas are remote or hybrid as of September 2026, reflecting how broadly employers in this space have adopted flexible work models. Program development and content strategy roles tend to be the most remote-eligible, while roles focused on in-person sales coaching or field team alignment typically require some on-site presence.
How can I get hired as a sales enablement specialist in Texas with little or no experience?
The most realistic entry path is a lateral move from a sales development representative, inside sales, or marketing coordinator role at a Texas tech or SaaS company, where you can build enablement projects into your existing responsibilities. Large Texas employers like Dell Technologies and Oracle run structured associate programs and sales development rotations that often feed directly into enablement teams. Building a portfolio of sample onboarding modules, call scripts, or training decks and earning a Salesforce Administrator certification gives candidates a concrete edge when applying without a dedicated enablement title on their resume.
Where can I find and apply to sales enablement specialist jobs in Texas?
You can find and apply to sales enablement specialist jobs in Texas on Migrate Mate, which lists current Texas openings across Dallas-Fort Worth, Austin, Houston, and other markets. Find roles that fit your experience and apply directly from the listing.
See All 6 Sales Enablement Specialist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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