Top Remote Entry Level Jobs in Dallas, TX

Develops enterprise solution architectures, AI use cases, strategic sales motions, and executive advisory engagements for Fortune 500 customers. Partners with sales engineering and account executives on strategic opportunities, translates customer needs into product feedback, creates scalable enablement assets, mentors field teams, and represents Qualtrics at conferences, analyst briefings, and executive events.

Own a territory and manage the complete outbound sales cycle for Adapt, an AI-powered dynamic pricing product. Prospect property management company leaders, deliver revenue business cases, run pilots, negotiate contracts, close deals, attend regional events, and relay customer feedback to product teams. The role is remote within a territory and requires regular travel. The successful candidate will help establish the sales process as the founding seller in the region.

Own the roadmap for Headway’s go-to-market systems, automating provider acquisition and consolidating fragmented sales and marketing tools. Partner with sales, marketing, and engineering to improve growth efficiency through AI, automation, revenue feeds, audiences, attribution, data enrichment, and campaign management. Unite cross-functional teams around a shared vision, identify process bottlenecks, and determine when automation, staffing, or incentive changes are needed.

Lead product design direction across complex, multi-team healthcare platform areas. Shape product strategy, experience architecture, design systems, and scalable experiences for patients, providers, and practices. Partner with product, engineering, data, and leadership to resolve ambiguity, guide execution, mentor designers, and raise quality. Establish AI-native design and engineering workflows using emerging tools such as Cursor and Claude Code.

The posting provides no specific responsibilities or qualification details for the Director of Special Investigations role. The position appears to be associated with financial investigations within a Financial Intelligence Unit at a national financial services company.

Own the commercial enablement roadmap for account executives, account managers, and customer success managers. Define execution standards, translate product and process changes into practical guidance, facilitate workshops and role plays, create playbooks and coaching tools, support onboarding and certifications, and use field feedback, conversation intelligence, CRM signals, and program data to improve readiness and customer-facing performance.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Support Xero’s partner sales channel by guiding accounting and bookkeeping practices through onboarding, data migration, software implementation, and activation. Deliver one-on-one and group training on Xero and related products, manage stakeholder expectations, schedule virtual and on-site sessions, maintain Salesforce records, and create self-service resources. The role requires frequent travel to partner practices and strong accounting, communication, presentation, and relationship-building skills.

Manage a high-volume pipeline of prospective mental health providers, conduct daily meetings, provide practice-growth guidance, and convert providers to activated members of the network. Build trusted provider relationships, deliver timely onboarding support, follow vetting standards, document activity, and meet conversion and activation KPIs using AI-enabled tools and automated workflows.

Leads Utility’s AI practice by defining its roadmap, overseeing AI research and deployment, identifying client opportunities, mentoring AI teams, and establishing responsible AI practices. The role combines technical leadership, product strategy, client advisory, and operational execution across machine learning, generative AI, and intelligent automation initiatives.