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

Owns the strategy, requirements, evaluation, and quality of AI-powered products. Partners closely with ML, backend, and client engineering teams to define system behavior, assess model performance, manage trade-offs across quality, latency, cost, reliability, safety, and UX, and establish feedback loops. The role requires strong technical judgment, hands-on experience with AI or LLM products, and the ability to turn ambiguous problems into measurable requirements and executable plans.

Reviews, validates, and curates Hindi written and audio content according to SOPs, checklists, and client guidelines. The role checks content and metadata, applies approved corrections, documents defects in internal tools, escalates complex issues, manages queues to meet throughput and SLA targets, and follows security requirements. It also involves repetitive high-volume work, team meetings, calibration sessions, training, and incorporating feedback to improve accuracy.

Work closely with company founders to execute go-to-market strategies, improve operational processes, grow client and partner communities, and implement AI-driven solutions. The role involves managing go-to-market pipelines end to end, coordinating cross-functional initiatives, and adapting within a fast-paced startup environment.

Create and schedule content across social platforms, translate technical ideas into engaging posts, support short-form video and visual storytelling, maintain brand voice, research industry topics, track engagement, and collaborate with leadership on content priorities.

Develop and execute sales strategies for consulting services, identify and qualify target accounts, manage opportunities from lead through close, and grow relationships with direct clients and technology partners. The role involves pipeline management, prospecting, targeted messaging, partner collaboration, market-facing activities, and representing Entrada at client meetings and industry events. Candidates should build credibility in data and analytics and use HubSpot, LinkedIn, AI, and other prospecting tools.

Build and lead revenue marketing programs that generate predictable enterprise and self-serve pipeline. Responsibilities include pipeline planning, event strategy and execution, demand generation campaigns, nurture programs, account-based marketing, paid media, budget management, agency coordination, attribution, and close collaboration with Sales and RevOps. The role is hands-on, requiring rapid program launches, performance measurement, and optimization of marketing investments.

Own and improve the legal function’s operations, technology, workflows, and automation. Manage Ironclad CLM workflows, matter management, e-billing, AI-assisted legal processes, outside counsel relationships, reporting, and performance metrics. Partner with Finance, IT, and business teams to scale legal processes, implement new tools, and improve operational efficiency across a rapidly growing global organization.

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Leads a team of 8–12 Mid-Market or Enterprise Account Executives across new-logo acquisition and expansion sales. Develops territory and account strategies, manages pipeline forecasting and performance metrics, engages senior client stakeholders, coaches sales professionals, and collaborates with product, marketing, and customer success teams to drive revenue growth and long-term partnerships.

Participate in a remote, paid interview about technology operations and strategic decision-making. Discuss how your organization manages complex technology environments, evaluates technology investments, balances daily operations with long-term strategy, and navigates internal workflows and solution criteria. Applicants should be current IT or business managers at mid-to-large organizations with direct involvement in technology operations or technical strategy.