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Entry Level Ai Project Management Jobs in California

Amat

Materials Project Management IV

Santa Clara, CA · On-site

$124K - $171K/yr

... our world - like AI and IoT. If you want to push the boundaries of materials science and ... Manages materials change control process. Meets cost objectives and resolves quality issues.

Medix

Healthcare Operations Manager

San Francisco, CA · On-site

$75/hr

Work self-sufficiently using AI tools and project instructions. Minimum Education and Experience ... Utilization & Care Management: Experience as UR Nurses or Case Managers. * Payer & Claims ...

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Entry Level Ai Project Management information

How to get into entry level AI project management?

Entry level AI project management roles typically require a bachelor's degree in a related field such as computer science, data science, or engineering, along with strong organizational and communication skills. Gaining experience with project management tools like Jira or Trello and understanding AI concepts or frameworks can improve prospects. Certifications like PMP or Agile can also be beneficial for entry-level candidates.

What is an entry level AI project manager?

An Entry Level AI Project Manager is a professional who oversees and coordinates artificial intelligence projects, often assisting more senior project managers. Their responsibilities include organizing project tasks, communicating with team members, tracking timelines, and ensuring project goals are met. While they may not make strategic decisions, they play a vital role in supporting the project lifecycle, learning about AI technologies, and gaining experience in project management processes. Entry level roles typically require strong organizational skills, basic knowledge of AI concepts, and a willingness to learn on the job.

What are some common challenges faced by entry level AI project managers, and how can they be addressed?

Entry-level AI project managers often encounter challenges such as aligning diverse technical teams, managing evolving project scopes, and communicating complex AI concepts to non-technical stakeholders. To address these, it's important to establish clear communication channels, utilize agile project management practices, and stay proactive in learning about AI technologies. Building strong relationships with data scientists, engineers, and business leaders will help bridge knowledge gaps and ensure project objectives remain on track.

What are the key skills and qualifications needed to thrive as an entry level AI project manager, and why are they important?

To thrive as an Entry Level AI Project Manager, you generally need a background in project management principles, basic understanding of AI concepts, and at least a bachelor's degree in a relevant field such as computer science, business, or engineering. Familiarity with project management tools like Jira or Trello, as well as knowledge of collaboration platforms and, optionally, certifications like CAPM or Agile methodologies, is valuable. Strong organizational skills, clear communication, and the ability to coordinate diverse teams help you stand out in this role. These skills ensure projects are delivered on time, stakeholders are aligned, and AI initiatives are executed efficiently in a fast-evolving environment.

What is the difference between Entry Level Ai Project Management vs Data Analyst?

AspectEntry Level Ai Project ManagementData Analyst
Required CredentialsBachelor's in Computer Science, Business, or related field; basic understanding of AI conceptsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams managing AI projects, coordinating between technical and non-technical stakeholdersAnalyzing data sets, creating reports, supporting decision-making processes
Employer & Industry UsageTech companies, startups, AI-focused organizationsFinance, healthcare, marketing, and various industries relying on data insights

While both roles require analytical skills and familiarity with data, Entry Level Ai Project Management focuses on coordinating AI projects and managing teams, whereas Data Analysts primarily analyze data to generate insights. The project management role emphasizes communication and organization, while data analysis emphasizes technical data skills.

What are the most commonly searched types of Ai Project Management jobs in California? The most popular types of Ai Project Management jobs in California are:
What are popular job titles related to Entry Level Ai Project Management jobs in California? For Entry Level Ai Project Management jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Project Management jobs in California look for? The top searched job categories for Entry Level Ai Project Management jobs in California are:
What cities in California are hiring for Entry Level Ai Project Management jobs? Cities in California with the most Entry Level Ai Project Management job openings:
Entry Level Ai Project Management jobs near you
Infographic showing various Entry Level Ai Project Management job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Project Coordinator, Finance Transformation (R5546)

Shield AI

San Francisco, CA

$100K - $160K/yr

Full-time

Posted 3 days ago

New

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
The Project Coordinator plays a key role in supporting the successful execution of Finance Transformation initiatives, with an immediate focus on the Oracle ERP implementation at Shield AI. Over the next 12 months, this role will primarily support Oracle program execution, including coordination across workstreams, project administration, governance activities, stakeholder communications, and operational readiness efforts tied to implementation and stabilization.  

Following the Oracle ERP implementation, the role will expand to support the broader Finance Transformation PMO, including acquisition integration and other strategic finance initiatives. This position provides day-to-day administrative, logistical, and coordination support to Project Managers, PMO leadership, finance stakeholders, technology teams, and external partners to help ensure strong execution across the transformation portfolio.  
What you'll do:
  • Coordinate project meetings, workshops, and working sessions; manage logistics, materials, calendars, and follow-up actions across Oracle ERP workstreams and future Finance Transformation initiatives.
  • Maintain project schedules, milestone trackers, action logs, RAID logs, and status reporting artifacts to support disciplined program execution and PMO governance.
  • Prepare meeting agendas, document key decisions and action items, and track completion with team members and stakeholders.
  • Assist in drafting, organizing, and distributing project documentation, including status reports, presentations, governance materials, communications, and PMO updates.
  • Support onboarding of project resources, including access requests, documentation distribution, workspace setup, and coordination with internal support teams.
  • Manage SharePoint sites or similar collaboration spaces to ensure project information is organized, current, and accessible.
  • Coordinate meetings and deliverables with internal stakeholders, implementation partners, and vendors, ensuring readiness of pre-reads, decisions, and supporting materials.
  • Support Project Managers and PMO leadership in tracking risks, issues, dependencies, change requests, and overall program progress.
  • Provide general administrative and operational support to improve efficiency across the Oracle ERP program and broader Finance Transformation PMO.
Near-term focus:
For the next 12 months, the role will be dedicated primarily to the Oracle ERP implementation. Responsibilities during this period will center on supporting planning, execution, testing coordination, cutover readiness, go-live activities, and stabilization across Oracle-related finance workstreams. The Project Coordinator will help maintain strong alignment between Finance, Technology, and external partners by ensuring project plans are current, governance routines are supported, and communications   
are timely and well organized. This role will serve as a central coordination point for program administration and execution support throughout the Oracle implementation lifecycle.  
Future scope:
After Oracle ERP implementation and stabilization, the role will broaden to support the Finance Transformation PMO across additional strategic initiatives. These may include acquisition integration, finance process improvement, reporting and analytics enhancements, controls-related initiatives, and other cross-functional transformation efforts. The Project Coordinator will support integration of newly acquired entities into finance processes, systems, reporting structures, and operating rhythms. The role will also help maintain portfolio-level roadmaps, dashboards, and governance materials, while supporting change management, adoption activities, and coordination across multiple Finance Transformation efforts.  
Required qualifications:
  • 2+ years of experience in project coordination, project administration, or a related role.  
  • Experience supporting ERP, technology, finance, or large-scale business transformation initiatives is   
    strongly preferred.  
  • Strong organizational and time-management skills with exceptional attention to detail.  
  • Proficiency with Microsoft Teams, Outlook, Excel, PowerPoint, SharePoint, and similar collaboration   
    and project tracking tools.
  • Strong written and verbal communication skills, including the ability to work effectively with   
    stakeholders at different levels of the organization.  
  • Ability to manage multiple priorities in a fast-paced, evolving environment.  
  • Self-starter mindset with strong follow-through, sound judgment, and adaptability.  
Preferred qualifications:
  • Familiarity with project management methodologies such as Agile, Waterfall, or hybrid delivery approaches.
  • Experience with project tracking and reporting tools such as Smartsheet or similar platforms.
  • Demonstrated ability to proactively identify gaps, solve problems, and support cross-functional collaboration.
  • Exposure to finance organizations, PMO structures, system implementations, or post-merger integration work is a plus.
#LI-TF1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.