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Ai Account Manager Jobs (NOW HIRING)

AI Account Executive

Lewis Center, OH · On-site

$125K - $150K/yr

Our Regional Partner Managers (RPMs) own the relationships; you own the win . * The Action: When a ... You will educate the client on Expedient's AI offering, validate the technical fit, and work lock ...

AI Account Executive

Lewis Center, OH · On-site

$125K - $150K/yr

Our Regional Partner Managers (RPMs) own the relationships; you own the win . * The Action: When a ... You will educate the client on Expedient's AI offering, validate the technical fit, and work lock ...

AI Account Executive

Lewis Center, OH · On-site

$125K - $150K/yr

Our Regional Partner Managers (RPMs) own the relationships; you own the win. * The Action: When a ... You will educate the client on Expedient's AI offering, validate the technical fit, and work lock ...

AI Account Executive

San Francisco, CA · On-site

$200K - $350K/yr

Hike Intelligence - AI agents that run the revenue cycle, reading every faxed referral, verifying ... Feed SDRs sharper qualification signals and hand off cleanly to Account Management at close. What ...

AI Account Executive

Lewis Center, OH · On-site

$125K - $150K/yr

Our Regional Partner Managers (RPMs) own the relationships; you own the win. * The Action: When a ... You will educate the client on Expedient's AI offering, validate the technical fit, and work lock ...

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Ai Account Manager information

See salary details

$29.5K

$65.8K

$106K

How much do ai account manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai account manager in the United States is $65,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Account Manager vs Data Analyst?

AspectAi Account ManagerData Analyst
Required CredentialsBachelor's in Business, Marketing, or related field; knowledge of AI toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis software
Work EnvironmentClient-facing, marketing, and tech teams; focus on AI solutionsData-focused teams; analyzing and interpreting data sets
Employer & Industry UsageTech companies, marketing agencies, AI service providersFinance, healthcare, tech, and research organizations

The Ai Account Manager primarily manages client relationships and oversees AI-driven marketing or business solutions, requiring knowledge of AI tools and client communication skills. In contrast, Data Analysts focus on analyzing data to extract insights, requiring strong analytical skills and data software proficiency. While both roles involve data and technology, their core responsibilities and work environments differ significantly.

More about Ai Account Manager jobs

What cities are hiring for Ai Account Manager jobs?

Cities with the most Ai Account Manager job openings:

What are the most commonly searched types of Ai Account jobs?

The most popular types of Ai Account jobs are:

What states have the most Ai Account Manager jobs?

States with the most job openings for Ai Account Manager jobs include:

Infographic showing various Ai Account Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $65,816 per year, or $31.6 per hour.

Technical AI Account Manager

arcee.ai

San Francisco, CA • On-site

Full-time

Re-posted 3 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.