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Ai Manager Jobs in San Ramon, CA (NOW HIRING)

Senior AI Product Manager

San Francisco, CA · On-site

$149K - $196K/yr

The role We're looking for our next rockstar- AI Product Manager focused on Implementation and Onboarding to lead AI transformation in the back office of Banks/ Credit Union. You'll own the customer ...

Showing results 21-40

Ai Manager information

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in artificial intelligence, machine learning, or data analysis. Developing leadership skills and understanding project management are also important, often supported by certifications like PMP or specialized AI courses. Gaining hands-on experience through projects or roles in AI development is essential for advancing to management positions.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, and ensure AI solutions align with business objectives, often requiring knowledge of machine learning tools and programming languages. Their role involves managing timelines, budgets, and stakeholder communication to deliver effective AI systems.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and stock options.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

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Infographic showing various Ai Manager job openings in San Ramon, CA as of June 2026, with employment types broken down into 1% As Needed, 58% Full Time, 39% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Technical AI Account Manager

arcee.ai

San Francisco, CA

Full-time

Re-posted 20 days ago


Job description

Technical AI Account ManagerRole Overview

We're looking for a customer-facing Technical AI Account Manager to support and grow strategic customer relationships across our AI platform and infrastructure offerings. This role combines elements of Customer Success, technical account management, and solution-oriented sales.

The ideal candidate is comfortable working directly with technical stakeholders, helping customers navigate AI infrastructure and deployment needs, coordinating across internal teams, and identifying opportunities to deepen customer engagement over time.

This person will serve as a trusted partner to customers throughout onboarding, deployment, and ongoing adoption.

Responsibilities
  • Manage day-to-day relationships with strategic customers and partners
  • Support customer onboarding, deployment coordination, and ongoing account management
  • Help customers navigate technical requirements and identify the right solutions for their AI workloads and use cases
  • Act as a liaison between customers and internal Engineering, Research, Product, and Operations teams
  • Monitor account health, customer adoption, and engagement trends
  • Partner with GTM leadership on renewals, expansion opportunities, and long-term account growth
  • Serve as a point of contact for customer questions, escalations, and operational coordination
  • Help build scalable processes around customer onboarding, deployment coordination, and account management
  • Maintain strong visibility into customer goals, timelines, and technical priorities
Qualifications
  • Experience in Customer Success, Technical Account Management, Solutions Engineering, or technical sales
  • Familiarity with AI/ML platforms, cloud infrastructure, developer tools, or enterprise software environments
  • Strong communication skills with both technical and business stakeholders
  • Comfortable managing multiple customer relationships and projects simultaneously
  • Strong organizational, operational, and problem-solving skills
  • Ability to operate independently in a fast-moving startup environment
Nice to Have
  • Experience working with AI infrastructure, model deployment workflows, or technical enterprise customers
  • Familiarity with cloud platforms, Kubernetes, or modern infrastructure environments
  • Experience supporting enterprise onboarding and implementation processes
  • Startup or high-growth company experience
Additional Information

We have an office in San Francisco and value in-person collaboration. This role will likely require significant travel and regular time spent working onsite with internal teams, customers, and partners.