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Google Ai Essentials Jobs in Texas (NOW HIRING)

Cyber Manager - AI SOC

Dallas, TX

$109K - $148K/yr

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

Cyber Manager - AI SOC

Austin, TX ยท On-site

$110K - $148K/yr

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

Cyber Manager - AI SOC

Fort Worth, TX

$106K - $143K/yr

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

Cyber Manager - AI SOC

San Antonio, TX

$100K - $135K/yr

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

Cyber Manager - AI SOC

Austin, TX

$110K - $148K/yr

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

Cyber Manager - AI SOC

Houston, TX ยท On-site

$106K - $143K/yr

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry ... Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global ...

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Google Ai Essentials information

What is Google AI Essentials?

Google AI Essentials is an online course developed by Google to provide foundational knowledge and practical skills in artificial intelligence (AI). The course is designed for beginners and covers key topics such as machine learning basics, ethical considerations, and how AI is used in real-world applications. It includes hands-on exercises and does not require prior coding experience, making it accessible for a wide range of learners. Upon completion, participants receive a certificate that can help demonstrate their understanding of AI concepts to employers.

What skills and qualifications are needed to work with Google AI Essentials?

To excel with Google AI Essentials, you need a foundational understanding of artificial intelligence concepts, data analysis, and problem-solving, often supported by relevant coursework or certifications. Familiarity with Google Cloud Platform tools, TensorFlow, and basic programming languages like Python is commonly required. Strong communication, curiosity, and adaptability help professionals effectively translate AI insights into actionable business strategies. These competencies enable individuals to implement AI solutions responsibly and drive innovation within their organizations.

What types of projects do employees work on in the Google AI Essentials team, and how does collaboration occur across departments?

In the Google AI Essentials team, employees often work on foundational AI projects that support Google's core products and services, such as developing scalable machine learning models, optimizing data pipelines, and enhancing AI infrastructure. Collaboration is highly cross-functional, with regular interactions between engineers, product managers, researchers, and UX designers to ensure solutions are technically robust and user-centric. Team members frequently participate in code reviews, brainstorming sessions, and sprint planning meetings, fostering a culture of continuous learning and knowledge sharing. This collaborative environment helps team members broaden their expertise and contribute to impactful, high-visibility projects.

What is the difference between Google Ai Essentials vs Data Analyst?

AspectGoogle Ai EssentialsData Analyst
Required CredentialsBasic understanding of AI tools, certifications in Google Cloud or AI fundamentalsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI-focused projects, cloud platformsBusiness intelligence, finance, marketing departments across industries
Employer & Industry UsagePrimarily tech and AI companies using Google Cloud servicesVarious industries analyzing data to inform business decisions
Search & Comparison IntentUnderstanding AI tools and certificationsData analysis skills and career paths

Google Ai Essentials focuses on foundational AI knowledge and Google Cloud certifications, ideal for roles involving AI tools. Data Analysts interpret data to support business decisions, often requiring statistical expertise. While both roles involve data, Google Ai Essentials is more tech and AI tool-oriented, whereas Data Analysts focus on data interpretation across industries.

Can you get a job with a Google Ai Essentials certificate?

A Google AI Essentials certificate can enhance your qualifications for roles involving artificial intelligence, machine learning, and data analysis. While it demonstrates foundational knowledge, employers typically look for additional skills, experience, and relevant tools such as TensorFlow or Python to qualify for AI-related jobs.

What are popular job titles related to Google Ai Essentials jobs in Texas?

For Google Ai Essentials jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Google Ai Essentials jobs?

Cities in Texas with the most Google Ai Essentials job openings:

Infographic showing various Google Ai Essentials job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

Key Account Manager-Data Center Liquid Cooling System for Google/Nvidia/OpenAI/COLO

Midea

Plano, TX โ€ข On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Midea America Corp. is one of the world's largest home appliance brands, offering the most comprehensive selection of products in the world to fully serve the needs of day-to-day living at home, at work, or anywhere else you go. In North America we strive to aim high, put the customer first, transform and innovate the marketplace, utilizing our commitment, dedication, inclusion and partnership with our teams. We are a global company with over 150,000 employees and operations in more than 195 countries. As a publicly listed company, we are also ranked #245 as a Fortune Global 500 company and offers one of the most comprehensive ranges in the home appliance industry. Midea America is a subsidiary of Midea Group with over 200 employees in the US and we are expanding our presence in North America. Know more about Midea Group.
Location : Plano, Tx; Locating in Plano office is preferred but we might accomondate remote work for the high-caliber candidate.
Job Responsibilities:
-Build a comprehensive map of the decision-making chain within target clients to identify multi-level business opportunities across new campus constructions, rapid capacity expansions, and technical upgrades. Formulate differentiated penetration strategies, tailoring approaches to Nvidia or OpenAI's focus on "speed and density" and Colo clients' focus on "standardization and scalability."
-Drive partnership upgrades with Nvidia or OpenAI and Colo clients through joint POCs (Proof of Concepts), technical certifications, and master framework agreements.
-Technical Roadmap Alignment & Solution Steering
Deeply understand Google or Nvideia or OpenAI's AI compute expansion roadmap (TPU/GPU cluster scale, deployment density, deployment cadence) and the evolution of their cooling requirements (the transition path from air cooling to liquid cooling, high-density rack cooling bottlenecks).
- Proactively identify alignment opportunities and gaps for Midea's cooling solutions to guide and influence headquarters' R&D teams in planning and positioning products ahead of the market.
Job Requirements:
1. Experience & Background
Education: Bachelor's degree or above in Engineering or Business (MBA preferred).
Industry Experience: 10+ years of experience in the data center/critical infrastructure industry, with at least 5 years of local North American business experience serving Hyperscalers, AI-native companies, or top-tier Colo clients.
Client Portfolio: Must possess proven data center infrastructure business experience with Google or Nvidia or OpenAI or equivalent AI-native giants (Anthropic, xAI, etc.) as well as top-tier Colo clients (Equinix, Digital Realty, etc.). Deeply understand the distinct decision-making logic and procurement cadences of AI clients versus Colo clients.
Industry Insights: Deep understanding of AI compute expansion trends (GPU cluster scale, high-density deployment, liquid cooling evolution); thoroughly familiar with AI clients' core requirements for data center infrastructure (especially cooling systems) across three dimensions: speed, density, and scalability.
Business Models: Nice to be familiar with Colo clients' business models (wholesale, retail, managed services), technical standards, and global supply chain management practices.
Track Record: Proven track record of rapidly advancing POCs (Proof of Concepts) and converting them into master framework agreements is highly preferred.
2. Professional Skills
Thermal Management Expertise: Deep understanding of data center thermal management systems (air cooling, water cooling, liquid cooling) in high-density AI deployment scenarios; familiar with the technical essentials of liquid cooling (cold plate, immersion) as the standard cooling solution for AI clusters.
Speed-to-Market Execution: Understand AI clients' extreme requirements for deployment speed (e.g., 6-9 months from breaking ground to going live) and capable of designing differentiated solutions across plan design, supply chain assurance, and delivery processes centered around "acceleration."
Colo Standards: Familiar with Colo clients' standardized design specifications and their specific requirements for equipment reliability and maintainability.
Commercial Acumen: Excellent business negotiation, pricing strategy, and contract clause review capabilities; able to independently calculate and propose TCO (Total Cost of Ownership) for complex solutions.
Standards & Compliance: Familiar with North American data center standards and specifications such as Uptime Tier, TIA-942, and ASHRAE.
3. Core Competencies
Communication & Influence: Capable of independently delivering solution presentations and engaging in strategic dialogues at the CXO/VP level; able to persuade client executives using speed and TCO as core arguments.
Technical Acumen & Vision: Able to translate AI compute expansion trends into technical inputs for Midea's cooling solutions, proactively identifying directions for product adaptation and supply chain readiness.
Agility & Responsiveness: Adaptable to the extremely fast decision-making and delivery pace of AI clients; capable of rapidly adjusting strategies and driving internal resource responsiveness in highly uncertain environments.
Cross-Cultural Bridge: Effectively bridge and navigate the working culture and decision-making mechanisms of Midea's China headquarters, serving as an accurate translator of requirements and resources.
Self-Drive & Local Decision-Making: Highly self-driven with the ability to make independent judgments and swift decisions under a clearly defined strategic direction.
Ecosystem Connectivity
Industry Network: Candidates who bring an established network of technical or procurement contacts within AI clients (OpenAI, Anthropic, etc.) or Colo clients (Equinix, Digital Realty, etc.) are highly preferred.
Midea America Corp is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.