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Prompt Manager Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

AI Enablement Manager

Newton, MA · On-site

$140 - $195/hr

Prompt and workflow design * Author, test, and iterate on prompts, agents, and AI workflows that ... Communication and stakeholder management * Keep the CIO, Data & Analytics, pillar leads, consulting ...

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 ...

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 ...

Senior Forward Deployed Engineer, Palantir

Boston, MA · On-site

$113K - $155K/yr

Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management * Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ...

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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 25, 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 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 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 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 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:

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.

Generative AI Platform Manager, Vice President

Burlington, MA • On-site

STATE STREET CORPORATION
Finance and Insurance • 10K+ employees

$120 - $202.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

About the Role

We're seeking a strategic, hands‑on VP to lead the design and delivery of our enterprise Generative AI platform. Primary depth required in AWS Bedrock, Azure AI Foundry, Azure OpenAI, and Databricks, with strong skills in IaC authorship, Harness CI/CD, FinOps, and AI‑assisted developer tooling. You'll set technical direction, author production‑grade constructs, mentor senior engineers, and enable data scientists and application teams to ship Gen AI solutions at scale.

Key Responsibilities AWS Bedrock Platform (Primary)
  • Own enterprise Bedrock strategy: model access governance, provisioned throughput, cross‑region inference, multi‑account architecture
  • Operationalize Knowledge Bases, Agents, Guardrails, Prompt Management, Flows, and Model Evaluation
  • Lead FM lifecycle across Claude, Nova/Titan, Llama, Mistral, and Cohere
  • Design RAG on Bedrock with OpenSearch Serverless, Aurora pgvector, and Kendra
  • Optimize consumption: on‑demand vs. PT, model routing, prompt caching, token efficiency
Azure AI Foundry & Azure OpenAI (Primary)
  • Own Foundry hub/project architecture, model catalog governance, and quota management
  • Lead Azure OpenAI patterns (PTU vs. PAYG, capacity planning, content filters) across GPT‑4o, GPT‑4.1, and o‑series models
  • Architect RAG/agent workloads with AI Search, prompt flow, and Agent Service
  • Implement Content Safety, private networking, Entra ID, CMK, and data residency controls
Databricks & Data‑Centric AI (Primary)
  • Own Databricks strategy on AWS and Azure: workspace architecture, Unity Catalog, cluster policies
  • Lead Mosaic AI adoption: Model Serving, Vector Search, Feature Store, AI Gateway, MLflow
  • Architect fine‑tuning/pretraining pipelines and lakehouse‑native RAG on Delta Lake
  • Establish DBU cost controls and serverless governance
Infrastructure as Code & Golden Paths
  • Author L2/L3 CDK constructs (TypeScript/Python), Bicep modules, and Terraform for multi‑cloud AI infra
  • Codify secure‑by‑default "golden paths" enabling teams to launch Gen AI workloads in hours
  • Standardize config‑as‑code, secrets management, and drift detection
Harness CI/CD
  • Own Harness pipelines, templates, and delegates for Bedrock, Azure OpenAI, Foundry, and Databricks Asset Bundles
  • Integrate with GitOps, Terraform/CMD/Bicep, OPA policy‑as‑code, and approval gates
  • Establish reference pipelines with linting, security scanning, model eval, and cost checks
Developer Experience
  • Champion Claude Desktop, MCP servers, and AI coding assistants (Copilot, Cursor, Claude Code)
  • Build internal MCP servers exposing enterprise systems to agentic clients
  • Define secure usage patterns for regulated environments; measure productivity impact
Governance & Leadership
  • Establish security, compliance, and responsible AI controls (red‑teaming, audit logging, guardrails)
  • Build observability across CloudWatch, Azure Monitor, Databricks system tables, Grafana, Datadog
  • Partner with Data, MLOps, Security, and Application leadership; recruit and mentor a top‑tier team
Required Skills
  • Bedrock: Knowledge Bases, Agents, Guardrails, Flows, PT; Claude, Nova, Llama, Mistral; RAG and vector stores (OpenSearch, pgvector, Pinecone, Kendra); agent frameworks (Bedrock Agents, LangGraph, Strands)
  • Azure AI: Foundry hubs/projects, prompt flow, Agent Service; Azure OpenAI (GPT‑4o/4.1, o‑series, PTU); AI Search; Content Safety
  • Databricks: Mosaic AI, Vector Search, AI Gateway, MLflow, Unity Catalog, Asset Bundles, Delta Lake
  • IaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi‑cloud), secrets management
  • CI/CD: Harness (YAML pipelines, delegates, templates, GitOps), OPA/Rego, GitHub Actions, Azure DevOps
  • FinOps: Token/PTU/DBU governance, tagging, chargeback, capacity planning, token/model optimization
  • Dev Tooling: Claude Desktop, MCP server authoring, Claude Code, Copilot, Cursor
  • Cloud: Deep AWS + Azure (networking, IAM/Entra ID, private endpoints); Docker/Kubernetes (EKS/AKS); serverless; API design; complementary GCP/Vertex AI
  • Data: Delta Lake, Unity Catalog, RAG/fine‑tuning data pipelines, governance/lineage
  • Observability: CloudWatch, Azure Monitor, App Insights, Grafana, Arize, Datadog
  • Languages: Python (primary), TypeScript
  • Leadership: Scaling senior teams hands‑on, executive communication, owning budgets/roadmaps
Education & Experience
  • Bachelor's or Master's in CS, Engineering, or IT
  • 10+ years in platform/cloud/SRE engineering
  • 5+ years hands‑on AWS and Azure with production depth in Bedrock, Azure OpenAI/Foundry, and Databricks
  • 3+ years in technical leadership or people management
  • Financial services or regulated‑industry experience strongly preferred
Preferred Qualifications
  • Published CDK construct libraries, Bicep registries, or Terraform modules consumed enterprise‑wide
  • Enterprise‑scale Harness pipeline authoring and rollout
  • Fine‑tuning/continued pretraining experience (LoRA, QLoRA, RLHF, DPO) on Mosaic AI, Azure OpenAI, or Bedrock Custom Models
  • Model optimization: quantization, distillation, prompt caching, speculative decoding
  • PTU/PT capacity planning at scale
  • Production MCP servers and Claude Desktop deployments in regulated environments
  • Agentic frameworks (Bedrock Agents, Azure AI Agent Service, Databricks Agent Framework, LangGraph, Strands)
  • AI safety/guardrail frameworks (Bedrock Guardrails, Azure Content Safety, NeMo, Guardrails AI)
  • Measurable FinOps wins (token/DBU/inference cost reduction)
  • Open‑source contributions (CDK, Terraform providers, MCP)
  • Multi‑tenant AI platforms with chargeback/showback
  • Board/regulator‑level presentation experience
Certifications (one or more preferred)
  • AWS: Solutions Architect Pro, ML Specialty, DevOps Engineer Pro
  • Azure: AZ‑305, AI‑102, AZ‑400, OP‑100
  • Databricks: Data Engineer Pro, ML Pro, or Generative AI Engineer Associate
  • GCP: Professional Cloud Architect or ML Engineer (complementary)
  • Harness: Certified Expert (CD or Platform)
  • Anthropic: Claude Builder or partner credentials

Salary Range: $120,000 - $202,500 Annual

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages; paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax‑advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work‑life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at https://StateStreet.com/careers.

Read our CEO Statement.

Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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