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Prompt Manager Jobs in Virginia (NOW HIRING)

Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with ...

Prompt Engineer

Norfolk, VA · On-site

$95K - $130K/yr

Integrate and manage OpenAI APIs (GPT models, embeddings, function calling, assistants, fine-tuning) * Create, test, and optimize prompt engineering strategies for accuracy, reliability, and cost ...

Writes, tests and refines prompts across Tax, Assurance, Advisory and Wealth Management use cases, following the architectural standards and prompt patterns established by the Workflow Architect.

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You ... managers, a comprehensive library of specialized department training through Appian University ...

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You ... managers, a comprehensive library of specialized department training through Appian University ...

* Manage all store operations, including sales, service, inventory, staffing and customer relations ... Maintain high levels of customer satisfaction by ensuring prompt, courteous and professional ...

Lead AWS Engineer II

Arlington, VA · On-site

$118K - $155K/yr

... prompt management. • Experience integrating large language model solutions with enterprise systems via application programming interfaces, microservices, or event-driven architectures. • ...

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Prompt Manager information

What is the difference between Prompt Manager vs Prompt Engineer?

AspectPrompt ManagerPrompt Engineer
CredentialsExperience with AI workflows, basic scripting, project managementTechnical expertise in AI, programming, and prompt design
Work EnvironmentCollaborative teams, project-based tasks, client interactionsTechnical teams, AI development labs, research settings
Industry UsageUsed in AI project management, content workflowsUsed in AI model development, prompt optimization
Search & ComparisonOften compared for roles managing prompts and workflowsCompared for technical prompt creation and tuning

Prompt Managers focus on overseeing AI prompt workflows, coordinating teams, and ensuring project goals are met. Prompt Engineers are more technically skilled, designing and refining prompts to optimize AI model performance. While both roles work with prompts, the Prompt Manager handles project management aspects, whereas the Prompt Engineer concentrates on technical prompt development.

What are the key skills and qualifications needed to thrive as a Prompt Manager, and why are they important?

To thrive as a Prompt Manager, you need expertise in prompt engineering, natural language processing, and a solid understanding of AI language models, often supported by experience in computer science or data science. Familiarity with tools like OpenAI's API, prompt optimization platforms, and version control systems is typically required. Strong analytical thinking, communication, and problem-solving abilities set standout Prompt Managers apart. These skills ensure the effective development and refinement of AI interactions, optimizing user experience and model performance.

What is a Prompt Manager?

A Prompt Manager is a professional responsible for creating, organizing, and optimizing prompts used in artificial intelligence systems, such as chatbots or language models. Their role involves designing prompts that elicit accurate and relevant responses from AI, maintaining prompt libraries, and analyzing AI performance to improve prompt effectiveness. Prompt Managers often collaborate with product teams, developers, and data scientists to ensure that AI interactions meet user needs and business goals. This position is increasingly important as organizations rely more on AI-driven applications.

How does a Prompt Manager typically collaborate with cross-functional teams to improve prompt effectiveness?

A Prompt Manager frequently works alongside product managers, data scientists, engineers, and UX designers to refine and optimize AI-generated responses. They solicit feedback from these teams to understand user needs and technical limitations, then iterate on prompt design to enhance clarity and accuracy. Regular meetings and shared documentation are common, ensuring everyone stays aligned on project goals and updates. This collaboration helps create more effective and user-friendly AI interactions.
What are popular job titles related to Prompt Manager jobs in Virginia? For Prompt Manager jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Prompt Manager jobs? Cities in Virginia with the most Prompt Manager job openings:

Full-time

Posted 27 days ago


Job description

Overview:
We are seeking a Prompt Engineer with proven experience in AI-driven solutions and Salesforce AI capabilities (Einstein, Agent force).
The ideal candidate will design, optimize, and implement prompt strategies for generative AI models, ensuring alignment with enterprise standards and delivering measurable business impact.
Preferred Skills:
Salesforce certifications (Administrator, Platform App Builder, AI Specialist).
Familiarity with Copado, Antirabbit, and DevOps tools for Salesforce.
Exposure to cloud platforms (AWS, Azure) and integration patterns.
Prompt Design Optimization
Develop, test, and refine prompts for AI models to achieve accurate, context-aware outputs.
Create reusable prompt libraries and guardrails for enterprise use cases.
Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics, conversational AI, and automation.
Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance
Define best practices for prompt engineering across teams.
Ensure compliance with enterprise security, data privacy, and ethical AI guidelines.
Managerial Responsibilities
Lead and mentor team members, fostering collaboration and continuous learning.
Manage stakeholder relationships and ensure timely delivery of AI initiatives.
Oversee project planning, budgeting, and governance for AI-related programs.
Cross-functional Collaboration Work closely with developers, architects, and business stakeholders to translate requirements into AI solutions.
Conduct workshops and training sessions on effective prompt engineering.