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Remote Prompt Engineer Jobs in Utah (NOW HIRING)

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Familiarity with generative AI models (ChatGPT, Gemini, etc.) and prompt development Preferred ...

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Remote Prompt Engineer information

See Utah salary details

$11

$50

$73

How much do remote prompt engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote prompt engineer in Utah is $50.97, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $67.84 per hour, depending on experience, location, and employer.

What is a Remote Prompt Engineer job?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What does a typical workday look like for a Remote Prompt Engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

What are the key skills and qualifications needed to thrive in the Remote Prompt Engineer position, and why are they important?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What are the most commonly searched types of Prompt Engineer jobs in Utah? The most popular types of Prompt Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Prompt Engineer jobs? Cities in Utah with the most Remote Prompt Engineer job openings:
Infographic showing various Remote Prompt Engineer job openings in Utah as of June 2026, with employment types broken down into 6% Internship, 63% Full Time, 25% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,025 per year, or $51 per hour.

Product Manager - AI Applications

Sitreps 2 SteerCos

UT • On-site, Remote

Full-time

Posted 24 days ago


Job description

Job Description
Role: Product Manager - AI Applications
Location: Remote
Salary: $200-$240K + Equity
About US
This is a revolutionary platform for military staff workflows and operational planning. The software is designed to enable smarter, real-time decisions. With unparalleled collaboration features, AI-enhanced tools, and customizable workflows, this product makes staffs superhuman. Our expanding roster of customers includes COCOMs and Service Components worldwide.
About the Role
As a Staff Product Manager focused on Applied AI, you'll define and execute our vision for AI-driven capabilities across the military staff workflow. You'll lead strategic product decisions across intelligent search and summarization, assisted drafting, and predictive capabilities, ensuring our AI features are reliable, secure, and mission-ready. Working closely with Engineering, Design, Data Science, Security, and military SMEs, you'll prioritize high-impact initiatives that transform how staffs plan and operate.
Responsibilities
  • Define and Own AI Strategy
    Develop and maintain a strategic roadmap that aligns withAI goals across foundational, generative, and predictive stages. Champion and communicate the vision across cross-functional teams and external stakeholders..
  • Advance Generative AI Features
    Drive the creation of AI-assisted workflows including draft generation, document linking, and natural-language interfaces that accelerate planning cycles. Define user experiences, success metrics, and iteration plans.
  • Partner on Platform & Quality Standards
    Work with Engineering to define AI infrastructure requirements including vector databases, prompt frameworks, and model observability. Set quality benchmarks and evaluation practices to monitor reliability, performance, and cost.
  • Ensure Security & Governance
    Collaborate with Security to implement data protection, access controls, and policy alignment needed for trusted use in high-security environments.
  • Measure and Communicate Impact
    Define and track metrics tied to AI adoption, user efficiency, and planning effectiveness. Communicate progress and insights clearly in an async-first, distributed team environment.
About You
You thrive in complex, ambiguous environments and enjoy turning advanced AI technologies into simple, powerful tools. You're fluent in both the technical details and the strategic value of AI, and you know how to balance bold product bets with responsible execution. You're excited to work with mission-driven users and have the ability to lead cross-functional teams toward outcomes that matter.
Qualifications
  • 5+ years of product management experience, with at least 3 years delivering AI/ML-based features in B2B SaaS or data-rich platforms.
  • Proven track record shipping AI-powered features (search, summarization, generative drafting, or predictive insights) with modern LLM tooling and architectures.
  • Experience managing model evaluation, observability, and optimization efforts across quality, latency, and cost.
  • Strong understanding of data governance, security, and compliance, preferably in regulated or high-trust domains.
  • Proficiency in SQL and basic Python for data validation and analysis.
  • Excellent communication skills, especially in async and distributed environments.
  • Bonus: Experience in defense, operational planning, or classified AI deployments.