ZipRecruiter

Log In

1

Prompt Manager Jobs in Boston, MA (NOW HIRING)

Agoda

Technical Product Manager, LLM/ML Domain

Boston, MA · On-site

$181K - $209K/yr

... prompt management, evaluation frameworks, etc.) • Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers • Strong analytical mindset ...

RxSense

Principal AI Ops Engineer

Boston, MA

Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement. Set the abstractions that ...

ICONSTAFF

Backend Engineer/FullStack

Cambridge, MA · On-site +1

$140K - $220K/yr

Exposure to LLM-driven systems (prompt management, caching, streaming) * Experience with Docker; Kubernetes knowledge is a plus * Passion for exploring new technologies and continuous learning ...

HyVee

Service Manager

Plymouth, MA · On-site

Provides prompt, efficient and friendly customer service, and ensures that customer's needs are met ... Store Manager; Assistant Managers of HWH, Perishables, Store Operations and eCommerce Positions ...

HyVee

Service Manager

Plymouth, MA · On-site

Provides prompt, efficient and friendly customer service, and ensures that customer's needs are met ... Store Manager; Assistant Managers of HWH, Perishables, Store Operations and eCommerce Positions ...

next page

Showing results 1-20

All JobsPrompt JobsPrompt Manager JobsPrompt Manager Jobs in Boston, MA

Prompt Manager information

See Boston, MA salary details

$25K

$66.7K

$111.4K

How much do prompt manager jobs pay per year?

As of Aug 5, 2026, the average yearly pay for prompt manager in Boston, MA is $66,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $75,000.00 per year, depending on experience, location, and employer.

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 Boston, MA? For Prompt Manager jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Prompt Manager jobs in Boston, MA look for? The top searched job categories for Prompt Manager jobs in Boston, MA are:
Prompt Manager jobs near you
Infographic showing various Prompt Manager job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $66,652 per year, or $32 per hour.

Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results

Brandeis University

Waltham, MA • On-site

$25 - $30/hr

Part-time

Re-posted 8 days ago

Job description

Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation
Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented professional with expertise in applied AI to serve as a Micro-Credential Grader for the online asynchronous credential, Industry-Focused Prompt Engineering for ROI-Driven Results.
In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate practical mastery in designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives. This credential equips professionals with the ability to align prompt strategies with business goals, evaluate platform performance, and quantify the ROI impact of AI-driven solutions. As a grader, you'll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning.
This role offers a unique opportunity to contribute to a cutting-edge, workforce-aligned credential that bridges AI innovation with business impact.
What You Will Do
  • Evaluate learner submissions that include prompt design portfolios, platform performance analyses, and ROI impact assessments tied to real-world business use cases.
  • Apply structured rubrics to assess mastery of skills such as LLM prompt iteration, use-case alignment, performance benchmarking, and ROI quantification.
  • Review learner reflections on prompt strategy effectiveness, ethical considerations, and organizational integration.
  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating strategic, technical, and business-oriented artifacts.
  • Maintain confidentiality and objectivity throughout the grading process.

What You Bring
  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Business Analytics, or related disciplines.
  • Subject-matter expertise in prompt engineering, LLM capabilities, and AI deployment for business outcomes.
  • Experience in academic assessment, workforce development, or digital learning preferred.
  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement.
  • Proficient in rubric-based assessment and competency validation, especially for strategic and project-based submissions.
  • Strong attention to detail and ability to maintain consistency across diverse learner artifacts.
  • Excellent written communication skills for delivering constructive, learner-focused feedback.
  • Comfortable working in asynchronous learning environments and using digital platforms.
  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

Apply