1

Phd In Management Jobs in California (NOW HIRING)

Manage end-to-end life cycles for production, including deployment workflows using Kubernetes ... PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field * PhD in ...

In this hybrid role you will report to a data science manager. You will: * Develop evaluation ... PhD in a quantitative field * A demonstrated track record of independently driving data science ...

Manage end-to-end life cycles for production, including deployment workflows using Kubernetes ... PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field * PhD in ...

next page

Showing results 1-20

Phd In Management information

See California salary details

$53.3K

$152.8K

$240.8K

How much do phd in management jobs pay per year?

As of Jul 14, 2026, the average yearly pay for phd in management in California is $152,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $187,000.00 per year, depending on experience, location, and employer.

Is it worth doing a PhD in Management?

A PhD in Management prepares individuals for academic, research, or high-level consulting roles, often requiring strong analytical and research skills. It can lead to careers in universities, think tanks, or corporate strategy, but it involves several years of study and a competitive job market. The decision depends on career goals and willingness to commit to advanced research and specialization.

What is the salary of PhD in Management?

A PhD in Management typically earns an annual salary ranging from $70,000 to over $150,000, depending on factors such as experience, industry, location, and whether they work in academia or the private sector. Entry-level positions may start lower, while experienced management researchers or professors tend to earn higher salaries.

What jobs can I get with a PhD in Management?

A PhD in Management prepares individuals for roles such as university professor, management consultant, research analyst, or organizational development specialist. These positions often require strong research, analytical, and leadership skills, and may involve teaching, strategic planning, or advising organizations.

What is the difference between Phd In Management vs Management Consultant?

AspectPhd In ManagementManagement Consultant
Required CredentialsDoctorate degree in management or related fieldBachelor's or Master's degree, often with business or management focus
Work EnvironmentAcademic, research, or teaching settingsCorporate, consulting firms, client sites
Industry UsageHigher education, research institutions, think tanksBusiness, finance, healthcare, technology
Common Search/ComparisonAcademic career, research rolesBusiness strategy, problem-solving

The Phd In Management is primarily an academic qualification preparing individuals for research and teaching roles, while Management Consultants focus on advising organizations to improve performance. Although both roles involve management knowledge, their work environments and career paths differ significantly.

Which PhD is most in demand in management?

The most in-demand PhD in management typically specializes in areas such as organizational behavior, strategic management, or data analytics, with a focus on skills like leadership, research, and quantitative analysis. Candidates with expertise in emerging fields like digital transformation or sustainability are increasingly sought after by organizations seeking innovative management solutions.
What are the most commonly searched types of Phd In Management jobs in California? The most popular types of Phd In Management jobs in California are:
What are popular job titles related to Phd In Management jobs in California? For Phd In Management jobs in California, the most frequently searched job titles are:
What job categories do people searching Phd In Management jobs in California look for? The top searched job categories for Phd In Management jobs in California are:
What cities in California are hiring for Phd In Management jobs? Cities in California with the most Phd In Management job openings:

AI Full Stack Developer

SBT Global, Inc.

San Jose, CA

Full-time

Posted 5 days ago


Job description

Company Description

1 Yr Contract

Onsite

Mid- Level Pay Rate: ~$13,975/mo DOE

We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Job Description
  • AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
  • Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.
Qualifications

Required Qualifications & Skills

  • Experience: Proven experience (5~8 yrs. for Middle Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Additional Information

All your information will be kept confidential according to EEO guidelines.