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Ai Manager Remote Jobs in Utah (NOW HIRING)

RainFocus

Technical Project Manager (Remote)

Lehi, UT · On-site +1

Hands-on AI experience is a must for this role. * Cross-Functional Stakeholder Management ... Location This remote role can be located anywhere in the United States of America. Why work at ...

FMG Suite

Project Manager (Remote)

Sandy, UT · On-site +1

$90K - $100K/yr

Lean into AI. We expect this role to use AI tools actively, both for your own productivity ... Proficiency with modern project management tooling; experience with Notion, ClickUp, or Linear is ...

RainFocus

Sr. Product Marketing Manager (Remote)

Lehi, UT · Remote

$113K - $148K/yr

Architect AI-driven systems and frameworks that solve business bottlenecks and increase the team ... Manage the release process to ensure marketing, sales, service, and support are fully prepared for ...

RainFocus

Sr. Product Marketing Manager (Remote)

Lehi, UT · On-site +1

$113K - $148K/yr

Architect AI-driven systems and frameworks that solve business bottlenecks and increase the team ... Manage the release process to ensure marketing, sales, service, and support are fully prepared for ...

RainFocus

Sr. Product Marketing Manager (Remote)

Lehi, UT · Remote

$113K - $148K/yr

Architect AI-driven systems and frameworks that solve business bottlenecks and increase the team ... Manage the release process to ensure marketing, sales, service, and support are fully prepared for ...

Applause

AI Enablement Engineer

Salt Lake City, UT · Remote

Hiring Manager : Jeff Martin, CTO We're looking for an AI Enablement Engineer to drive AI adoption ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Enablement Engineer

Salt Lake City, UT · On-site +1

Hiring Manager : Jeff Martin, CTO We're looking for an AI Enablement Engineer to drive AI adoption ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

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Ai Manager Remote information

What does an AI Manager do in a remote role?

An AI Manager working remotely oversees the development, deployment, and optimization of artificial intelligence projects within an organization. Their responsibilities include managing data science and engineering teams, setting project goals, ensuring effective collaboration, and aligning AI initiatives with business objectives. Remote AI Managers utilize virtual tools to communicate, track progress, and solve challenges related to machine learning, data analytics, and automation. They also stay updated with the latest AI technologies and ensure that ethical standards and best practices are followed throughout the project lifecycle.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI Director or Chief AI Officer, which involves overseeing AI strategy, development, and implementation. These roles often require advanced skills in machine learning, data science, and leadership, and may include significant compensation packages including salary, bonuses, and stock options.

What remote jobs can I do with AI?

Remote AI-related jobs include roles such as AI engineer, machine learning engineer, data scientist, and AI product manager. These positions often require skills in programming, data analysis, and familiarity with AI tools like TensorFlow or PyTorch, and can be performed independently from a remote environment.

What is the difference between Ai Manager Remote vs Data Scientist Remote?

AspectAi Manager RemoteData Scientist Remote
Required CredentialsTypically requires a master's or PhD in AI, computer science, or related fields; leadership experienceUsually requires a master's or PhD in data science, statistics, or related fields; strong programming skills
Work EnvironmentLeads AI projects, manages teams, collaborates with cross-functional departmentsAnalyzes data, builds models, interprets results, often independently or in small teams
Employer & Industry UsageUsed in tech companies, AI startups, and large enterprises focusing on AI solutionsCommon in tech, finance, healthcare, and research organizations

While both roles require advanced technical skills and often similar educational backgrounds, the Ai Manager Remote focuses on leading AI initiatives and managing teams, whereas the Data Scientist Remote concentrates on data analysis and model development. Their work environments and industry applications overlap but serve different strategic functions within organizations.

How does an AI Manager working remotely typically collaborate with cross-functional teams?

As a remote AI Manager, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is often facilitated through digital communication platforms like Slack, Zoom, and project management tools. Regular virtual meetings and clear documentation become crucial for aligning on project goals, timelines, and deliverables. AI Managers are expected to foster a culture of open communication, coordinate tasks across time zones, and ensure that everyone stays informed and engaged. Successful remote AI Managers proactively address potential miscommunications and leverage collaborative tools to keep projects on track.

How much does an AI manager make?

An AI manager typically earns between $100,000 and $180,000 annually, depending on experience, location, and industry. Senior AI managers with specialized skills in machine learning and data analysis may earn higher salaries, especially in tech hubs or large organizations.

What are the key skills and qualifications needed to thrive as an AI Manager (Remote), and why are they important?

To thrive as an AI Manager (Remote), you need expertise in artificial intelligence, project management, and a relevant degree such as computer science or data science. Familiarity with AI development tools (like TensorFlow or PyTorch), cloud platforms, and certifications in AI or machine learning are commonly required. Excellent leadership, communication, and problem-solving skills are crucial for aligning remote teams and stakeholders. These abilities ensure successful project delivery, innovation, and effective collaboration across distributed environments.

Which 3 jobs will survive AI?

AI managers, data scientists, and cybersecurity specialists are expected to remain in demand as AI advances, due to their roles in overseeing AI systems, analyzing complex data, and ensuring security. These jobs require specialized skills, critical thinking, and adaptability, making them less susceptible to automation. Continuous learning and certification in relevant tools can enhance job security in these fields.
What are the most commonly searched types of Ai Remote jobs in Utah? The most popular types of Ai Remote jobs in Utah are:
What are popular job titles related to Ai Manager Remote jobs in Utah? For Ai Manager Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Ai Manager Remote jobs in Utah look for? The top searched job categories for Ai Manager Remote jobs in Utah are:
What cities in Utah are hiring for Ai Manager Remote jobs? Cities in Utah with the most Ai Manager Remote job openings:
Ai Manager Remote jobs near you
Infographic showing various Ai Manager Remote job openings in Utah as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

Technical Project Manager (Remote)

RainFocus

Lehi, UT • On-site, Remote

Full-time

Retirement, PTO

Posted 13 days ago

Job description

RainFocus, one of the most innovative software companies, is in search of an exceptional Technical Project Manager.
About RainFocus
RainFocus cares about its employees, customers, and the world in which we live. Our rapidly growing team serves Fortune 500 companies like Adobe, Cisco, IBM, Oracle, VMware, and others to prepare and execute in-person, virtual, and hybrid events, across the world. Those events are delivered through our industry-disrupting software platform, with groundbreaking business intelligence, to elevate the attendee experience, streamline event operations, and accelerate marketing results. We are well-funded, growing fast, and building a company that is changing the market - it will be challenging, fun and exciting.
About the Role
This role is part of our Business Systems team, working closely with stakeholders across the business to build, refine, and clean up tickets for our Salesforce-centric tech stack, while also helping us extend AI-driven improvements across the broader organization. You'll blend project management with product-style thinking. Quickly learn how a wide range of business applications work, translate stakeholder needs into well-scoped technical tickets for developers, and help us drive real, measurable change through the use of AI.
Our team is fast-moving and expanding beyond Salesforce into our broader tech stack, providing an excellent opportunity to shape how requests are captured, prioritized, and delivered, and to help the business adopt AI in practical, high-impact ways. Key applications include but are not limited to: Salesforce, Slack, Gong, Claude, Gemini, N8N, Clay, Certinia, Craft, HighSpot, NetSuite, Lucid, and more.
Essential Responsibilities:
  • Ticket Building & Backlog Management: Build, refine, and clean up tickets for the Business Systems Admins and Developers, writing clear, well-scoped technical requirements that developers can act on without unnecessary back-and-forth.
  • AI-Driven Process Improvement: Identify opportunities to apply AI tools and workflows to solve business problems, and help drive adoption of AI-based solutions across teams. Hands-on AI experience is a must for this role.
  • Cross-Functional Stakeholder Management: Interface with stakeholders across multiple business units to intake, vet, and prioritize requests, translating business needs into clear technical tasks for the development team. Act as the go-between for developers and business systems admins, reaching out to the business to gather clearer requirements or feedback on a ticket so the technical team can stay focused.
  • Product & Project Ownership: Own the roadmap and backlog for the Business Systems team's initiatives, balancing day-to-day project delivery with longer-term product thinking about what to build next and why.
  • Cross-Platform Fluency: Quickly learn how a wide range of software applications work (Salesforce and beyond) well enough to scope requests, spot integration or AI opportunities, and ask the right technical questions.
  • Agile Process Participation: Participate in sprint ceremonies (standups, grooming, retrospectives) to keep work visible and moving, supporting the team's agile process.

Required Skills & Experience:
  • Technical Project/Product Management: Experience managing technical projects, owning products, or backlogs (ideally for a systems, IT, or business applications team).
  • High Tech Fluency: While coding is not required, you must be able to quickly understand how different software platforms work and connect (e.g., via APIs), and be comfortable learning new systems on the fly.
  • Hands-On AI Experience: Demonstrated experience using AI tools (e.g., Claude, Gemini, Slackbot or similar) to solve real business problems.
  • Technical Communication: Strong ability to translate business needs into clear, well-organized technical tickets and requirements that developers can execute against.
  • Stakeholder Management: Proven ability to work across multiple business units, filter competing priorities, and communicate clearly with both technical and non-technical audiences.

Desired Skills:
  • Familiarity or direct experience with the Salesforce ecosystem and how it integrates with third-party tools.
  • Experience with Slackbot, Claude, Clay, Rovo and/or Gemini, including enterprise administration, workflow automation, or building Claude skills or agents for business use.
  • Experience writing technical tickets or requirements for software developers.
  • Familiarity with agile delivery frameworks (Scrum/Kanban) and tools like Jira or similar.

Personal Characteristics & Success Measures
Personal Characteristics
  • Proactive Problem-Solver: An innovative thinker who doesn't wait for direction but independently seeks out ways to optimize workflows and eliminate team bottlenecks.
  • Self-Motivated Learner: A self-starter who stays up to date on the rapidly changing landscape of AI capabilities, LLMs, and internal tool integrations.
  • Great Attention to Detail: Meticulous with project tracking, dependency mapping, and ensuring enterprise data compliance.
  • Collaborative Partner: Highly enthusiastic, high-energy, and ready to act as a true strategic member of our Business Systems team.

Success Measures
  • Clear, Actionable Tickets: Business Systems tickets are consistently well-scoped, clearly written, and ready for developers to act on with minimal clarification needed.
  • AI-Driven Impact: Deliver concrete examples of AI tools or workflows deployed to solve business problems and drive measurable improvements.
  • Bottleneck Reduction: Proactively identify and deploy automated or AI-driven solutions that reduce friction for stakeholders across the business.
  • Seamless Collaboration: Act as a reliable partner to both stakeholders and developers, keeping requests, tickets, and system updates moving forward smoothly.

Location
This remote role can be located anywhere in the United States of America.
Why work at RainFocus?
At RainFocus we delight millions of attendees at large-scale events by delivering better insights, experiences, and marketing. We were able to pivot our product and services offering in 2020 to continue growing and serving new clients and events.
As a member of the RainFocus team, you will have the opportunity to experience first-hand the impact of our platform at events around the world. Additionally, RainFocus offers competitive salaries, competitive benefits, 401k, generous PTO, and countless other team building activities.
What are you waiting for? Apply today! We need more talented, hard-working, fun-loving team members just like yourself!
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.

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