Top Entry Level Artificial Intelligence Jobs in Dallas-Fort Worth, TX

The Business Development Representative will generate pipeline, qualify leads, close small deals, and collaborate with AEs in a high-caliber selling environment.

Manage implementation, onboarding, adoption, retention, renewals, and expansion for mid-market public safety customers. Build scalable customer success processes, lead business reviews, provide proactive support, communicate product feedback to technical teams, and advocate for customer needs. The role requires enterprise technology implementation experience, customer success expertise, familiarity with commercial UAS and related software, strong project management skills, and travel across the Northeast.

Generate outbound pipeline through account research, prospecting, email, LinkedIn, and phone outreach. Qualify prospects, conduct discovery conversations, hold meetings and tailored demos, and communicate Feathery’s value proposition. Build outbound playbooks, experiment with messaging and channels, collaborate with sales, marketing, product, and leadership, and provide customer insights to improve positioning and product development.

Participate in a 20-minute remote, AI-moderated study evaluating early concepts for qualitative research analysis tools. Review design mockups, compare proposed workflows with current research synthesis methods, and provide candid feedback on usability and product fit. The study is intended for UX researchers, product managers, product designers, and consumer insights professionals with hands-on experience analyzing qualitative research findings.

Manage the Enterprise Deployment team’s workflow, staffing, performance tracking, recruiting coordination, onboarding, meetings, OKRs, team gatherings, and cross-functional alignment. The Chief of Staff will optimize team efficiency, thoughtfully allocate people to projects, identify performance or coverage gaps, and serve as a trusted liaison to organizational leaders. This is a fully remote global role, with London preferred.

Supports communications launches and proactive campaigns across health, education, and personal finance. Develops messaging, media strategies, briefing materials, talking points, FAQs, and executive summaries; translates complex technical work into clear audience-specific narratives; monitors media sentiment and emerging risks; and coordinates cross-functional stakeholders across product, policy, legal, marketing, research, and communications.

Designs and integrates secure, scalable AI solutions for marketing workflows. Analyzes processes and data flows, identifies automation opportunities, defines integration and infrastructure requirements, evaluates vendors and build-versus-buy options, and supports AI governance, privacy, security, and compliance. The role collaborates with AI/ML engineering, data engineering, IT, security, legal, compliance, and marketing stakeholders to align AI platforms, agents, and applications with enterprise architecture and MarTech objectives.

This is a referral announcement offering a $5,000 bonus for introducing a candidate who is successfully hired by Pogo. No specific job responsibilities or candidate qualifications are provided.

Submit a general application to Pogo for consideration for relevant future opportunities. The company will contact applicants if and when a suitable position becomes available.

Lead technical design and hands-on execution for complex products and systems. Design scalable architectures, write and review code, solve production issues, make technical trade-offs, mentor engineers, improve engineering practices, and drive initiatives from problem definition through production. Collaborate with product, design, and AI teams while owning system reliability, security, testing, observability, and continuous improvement in a distributed global environment.

Lead and develop a distributed software engineering team building scalable financial products. Own engineering delivery, architecture, system reliability, technical standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and customer-facing systems. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and collaborate with product, design, mobile, backend, and AI teams to deliver high-quality products quickly.

Lead a distributed engineering team building and scaling customer-facing products. Own delivery, architecture, reliability, technical quality, production outcomes, engineering standards, and team development. Collaborate across product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.

Open application for roles across engineering, product, operations, and customer success at an AI-native EMR startup. Candidates may build AI-agent workflows, improve clinical operations, support implementations, or drive growth and adoption. Emphasis on communication, ownership, and curiosity about AI and healthcare.