Artificial Intelligence

• Own paid and organic acquisition for the Consumer business
• Design and build the AI agent orchestration layer for paid media using tools such as Grokbot, Ryze, Claude, Advantage+, Performance Max, and automated bidding
• Build an AI-assisted creative engine that generates, tests, and iterates ad concepts at high volume within healthcare advertising policies and compliance standards
• Define agent ownership, human-review requirements, and failure-detection processes; prototype and troubleshoot systems
• Own paid acquisition across Meta, TikTok, emerging platforms, Google, and Bing, including strategy, budget, bidding, audiences, and optimization
• Own organic acquisition, including AEO/GEO, SEO, and content
• Manage a media budget of $5M+ annually against CAC, ROAS, and payback targets, reallocating spend weekly
• Lead privacy-constrained measurement, including incrementality testing, attribution, MMM-informed planning, and HIPAA-aware tracking
• Manage agency and freelance partners against performance standards
• Identify and validate new revenue vectors through landing pages, fake-door tests, and quick prototypes
• Run the process from insight to prototype to experiment to scale decision
• Lead and develop a small, high-output pod of AI agents and contractors
• Partner across product, engineering, marketing, analytics, and compliance
• Audit paid, organic, and tracking; deliver early efficiency gains
• Establish agent-run workflows, human checkpoints, operating model, and experiment backlog
• Improve blended CAC and payback while scaling paid and organic spend
• Demonstrate at least one validated new revenue vector with a credible path to scale

Director, Consumer Growth – AI-Native

• Own end-to-end enterprise deals for Cloudera-supported OEM Mistral, from initial conversation through proof of concept, negotiation, close, and expansion
• Develop and manage pipeline, forecast accurately, and exceed quarterly and annual goals for new and expansion software subscriptions, renewals, and related services
• Introduce and grow designated enterprise accounts and strategic prospects aligned with company objectives and customer priorities in data, analytics, and AI
• Lead large, multi-threaded transactions while retaining commercial control and coordinating specialists
• Run strategic outbound and convert qualified inbound opportunities into broader, multi-year agreements
• Use warm introductions, installed-base relationships, and partner paths to reach data, AI, innovation, and C-suite leaders
• Develop account and opportunity plans mapping the Mistral offering to customer technology footprints, growth plans, and competitive landscapes
• Lead customers through structured, time-boxed proofs of concept with implementation and technical teams
• Convert successful proofs of concept into long-term contracts by connecting model performance, deployment model, governance, and support to customer operations on Cloudera
• Articulate how the OEM Mistral offering fits the Cloudera platform, including data under management, security, and hybrid operations
• Align customer engineering, product, commercial, and legal stakeholders at executive level
• Negotiate agreements end-to-end with legal and implementation support
• Build consensus across executive sponsors, influencers, and decision-makers, positioning the offering within strategic AI and data initiatives
• Provide field intelligence on use cases, objections, competitive moves, and deployment constraints to shape roadmap priorities and sales plays
• Introduce domain and technical specialists while retaining overall account responsibility and customer-success ownership

Applied AI Sales Executive

• Define runtime architecture
• Lead performance optimization efforts
• Drive benchmark methodology
• Develop model execution strategies
• Build software development projects and platforms aligned with business and security strategies
• Build standards, designs, and automate software deployment
• Drive technology strategy and software engineering roadmaps
• Assist with project development, feature documentation, progress tracking, and testing plans
• Convert business concepts into applications and tools using adaptive agile methodologies
• Assist with scheduling, manpower requirements, and project completion cost estimates
• Contribute innovative ideas and lead large cross-functional teams to solve complex business problems
• Act as a functional manager, developing strategy and setting functional policy and direction
• Mentor and guide lower-level employees

AI Runtime & Performance Lead

• Define runtime architecture
• Lead performance optimization efforts
• Drive benchmark methodology
• Develop model execution strategies
• Build software development projects and platforms aligned with business and security strategies and requirements
• Build standards, design, and automate software deployment
• Drive technology strategy and engineering roadmaps around software engineering
• Assist with project development, feature documentation, progress tracking, and testing plans
• Convert business concepts into applications and tools using adaptive agile methodologies
• Assist with scheduling, manpower requirements, and cost estimation
• Contribute innovative ideas and lead large cross-functional teams to solve complex business problems
• Act as a functional manager, developing strategy and setting functional policy and direction
• Provide mentorship and guidance to lower-level employees

• Design single-agent and multi-agent systems
• Build tool-use and function-calling workflows
• Design feedback loops for agents to evaluate and improve outputs
• Work on agent planning, memory, delegation, and coordination
• Build evaluation frameworks for agent performance
• Design systems where agents interact with software, data, and other AI models
• Develop autonomous workflows with human review where appropriate
• Improve reliability, observability, and failure recovery in agent systems
• Explore approaches to long-running and self-improving AI systems

Intern, AI Systems

• Troubleshoot VRs and gloves
• Travel to and from the site to retrieve SD cards for daily ingestion
• Transport equipment to and from the site
• Inspect and monitor team member data collection
• Work overnight shifts with minimal to no supervision
• Respond to client chats and report data collection status
• Lead Data Collection Operators performing AI data collection in controlled residential or lab environments
• Oversee operation of AR/VR headsets and motion capture hardware
• Oversee scripted everyday activities and physical tasks for accurate data collection
• Ensure adherence to technical guidelines, scenario scripts, and taxonomies
• Support real-time dataset quality checks and basic equipment maintenance
• Ensure compliance with site security protocols, NDAs, and personal-device policies

AI Data Collection Team Leader

• Deliver complex programs of agentic AI solutions from requirements through production
• Lead AI deployments alongside construction project teams and drive adoption
• Lead business architecture reviews and deliver custom AI solutions mapped to customer operating models
• Assess customer construction data readiness and design AI data pipelines
• Structure disparate data sources into knowledge graphs and establish data-quality and governance practices
• Build simple to moderately complex AI solutions using modern tooling
• Lead strategic conversations with key construction decision-makers
• Travel to customer sites for workshops, hackathons, and executive reviews
• Partner with forward-deployed engineers to move use cases from concept to adoption and measurable value
• Work cross-functionally with account managers, customer success engineers, and solutions engineers across strategic and enterprise accounts
• Partner with Product and Engineering to relay customer experience, resolve product issues, and close product gaps

AI Deployment Specialist

• Design, build, and deploy multi-agent AI workflows using frameworks such as LangGraph, AutoGen, or CrewAI
• Implement agent orchestration, tool-calling, memory, and guardrail logic for production Care operation use cases
• Identify, document, and prioritize AI use cases across Care functions
• Lead AI implementation from proof of concept through production
• Develop and maintain MCP servers exposing enterprise data and capabilities to AI agents
• Build and maintain API integrations with CRM, ticketing, ERP, knowledge bases, and external services
• Develop RESTful APIs and webhook handlers
• Design and manage vector stores, relational schemas, and query performance for AI applications
• Develop low-code process automation solutions
• Set up and maintain AI development and production environments, including LLM APIs, containers, CI/CD, monitoring, and logging
• Conduct process mapping and gap analysis
• Translate process findings into AI-augmented designs and implementation specifications
• Develop evaluation frameworks for AI agent outputs
• Monitor model performance, hallucination rates, and latency
• Implement feedback loops and continuous improvement cycles
• Collaborate with the Sr. Manager, Korea HQ counterparts, and SEA business unit stakeholders

AI Process Innovation Manager

• Provide technical solutions and remove customer roadblocks on Zendesk’s AI Platform
• Guide customers through configuration and optimization of Zendesk AI solutions
• Advise on implementation and optimization of Zendesk AI products
• Facilitate change management processes and deliver consultative sessions for AI adoption
• Manage AI projects end-to-end, including scope, timelines, stakeholder alignment, execution, and delivery
• Maintain customer satisfaction and contribute to retention and potential upsell opportunities
• Collaborate with Customer Success and Sales on customer AI roadmaps and technical challenges
• Align AI solutions with customer business goals and measurable customer experience and adoption outcomes
• Serve as the customer’s AI technical expert and trusted advisor
• Accelerate time-to-value and drive operational excellence from initial deployment through scale

AI Services Consultant

• Lead the strategic integration of artificial intelligence and emerging technologies to redefine jobs, roles, and organizational structures
• Design and implement work models that enhance human capabilities, improve efficiency, and support a positive, inclusive, and productive employee experience
• Lead research on how AI and emerging technologies can augment human work
• Translate research findings into evidence-based frameworks for job design and organizational structure
• Apply HCI and cognitive science principles to design human-AI collaboration workflows supporting usability, trust, and adoption
• Partner with senior leaders to shape the future of work at Salesforce
• Translate business strategy into actionable workforce transformation initiatives
• Drive enterprise-wide transformation and support a culture of learning, adaptability, and innovation
• Develop scalable frameworks for job redesign and augmentation supporting business growth, employee development, and career progression
• Communicate research insights and strategic recommendations to technical and non-technical stakeholders
• Manage multiple priorities and adapt quickly as business needs evolve

Artificial Intelligence jobs in Texas

Director, Consumer Growth – AI-Native

Applied AI Sales Executive

AI Runtime & Performance Lead

AI Runtime & Performance Lead

Intern, AI Systems

AI Data Collection Team Leader

AI Deployment Specialist

AI Process Innovation Manager

AI Services Consultant

Director, Human-AI Collaboration