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Ai Project Manager Jobs in Massachusetts (NOW HIRING)

Technical Project Manager Snowflake & AI/GenAI We are looking for a strong Technical Project Manager with experience in Snowflake migration/modernization and good knowledge of AI/GenAI . Key ...

As Klaviyo continues to scale, the need for AI-powered workflows and connected internal systems has never been greater. We are looking for a Senior Project Manager to define and execute the project ...

As Klaviyo continues to scale, the need for AI-powered workflows and connected internal systems has never been greater. We are looking for a Senior Project Manager to define and execute the project ...

Lead enterprisescale tech, digital, and AI programs; own endtoend delivery and governance * Manage ... Manage project scope, budgets, timelines, dependencies, quality controls, and stakeholder alignment ...

ADI combines analog, digital, AI, and software technologies into solutions that combat climate ... Project Manager- Energy Team Location: Wilmington, MA. USA - Hybrid onsite expectation The Group ...

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Ai Project Manager information

See Massachusetts salary details

$42K

$112.1K

$176.9K

How much do ai project manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ai project manager in Massachusetts is $112,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $134,300.00 per year, depending on experience, location, and employer.

What is an AI project manager?

An AI Project Manager is a professional responsible for overseeing projects that involve artificial intelligence technologies. They bridge the gap between technical AI teams and business stakeholders, ensuring that projects are delivered on time, within budget, and meet the desired outcomes. Their duties often include planning, coordinating resources, managing risks, and communicating progress. AI Project Managers must understand both project management methodologies and the fundamentals of AI to effectively guide their teams. They also play a crucial role in aligning AI initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI project manager?

To thrive as an AI Project Manager, you need a solid understanding of AI concepts, project management methodologies, and experience with cross-functional teams, often backed by a degree in computer science or a related field. Familiarity with tools like JIRA, Asana, and AI development platforms, as well as certifications such as PMP or Agile Scrum Master, is typically required. Strong leadership, communication, and problem-solving skills help facilitate collaboration and manage stakeholder expectations. These competencies are crucial to successfully delivering complex AI projects on time and within scope, ensuring alignment between technical teams and business goals.

How does an AI project manager typically collaborate with data scientists and software engineers during a project?

An AI Project Manager serves as a crucial bridge between technical teams, like data scientists and software engineers, and stakeholders. They facilitate clear communication by translating project goals into actionable tasks and ensuring timelines are met. Regular check-ins, sprint planning, and progress reviews are common, allowing the manager to address roadblocks and realign priorities as needed. This collaborative approach helps ensure that project deliverables align with both technical specifications and business objectives.

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

AspectAi Project ManagerData Scientist
Required CredentialsBachelor's in CS, Business, or related; certifications in AI/ML project managementBachelor's or higher in CS, Statistics, or related; advanced degrees often preferred
Work EnvironmentOversees AI projects, collaborates with technical teams and stakeholdersAnalyzes data, develops models, and interprets results
Industry UsageUsed across tech, finance, healthcare for managing AI initiativesCommon in research, tech, and analytics sectors

The Ai Project Manager focuses on leading AI projects, coordinating teams, and ensuring project goals are met. In contrast, Data Scientists primarily analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within AI and data-driven environments.

How do you become an AI project manager?

To become an AI project manager, candidates typically need a background in computer science, data science, or related fields, along with experience managing technology projects. Strong skills in AI concepts, project management methodologies like Agile, and familiarity with tools such as JIRA or Trello are important. Earning certifications like PMP or Scrum Master can also enhance qualifications.

How much do AI project managers make?

AI project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $180,000.

What are popular job titles related to Ai Project Manager jobs in Massachusetts?

For Ai Project Manager jobs in Massachusetts, the most frequently searched job titles are:

What cities in Massachusetts are hiring for Ai Project Manager jobs?

Cities in Massachusetts with the most Ai Project Manager job openings:

Infographic showing various Ai Project Manager job openings in Massachusetts as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $112,141 per year, or $53.9 per hour.

Technical Project Manager - Snowflake & AI/GenAI

HPTech Inc.

Boston, MA • On-site

Other

Posted 4 days ago


Job description

Technical Project Manager – Snowflake & AI/GenAI

Location: Boston, MA – On-site
Preference: Local candidates are highly preferred

We are looking for a strong Technical Project Manager with experience in Snowflake migration/modernization and good knowledge of AI/GenAI.

Key Requirements:

· 8+ years of Technical Project/Program Management experience

· Experience managing Snowflake migration or modernization projects

· Good understanding of Snowflake, cloud data platforms, data engineering, ETL/ELT, and data integration

· Understanding of GenAI, LLMs, RAG, and AI agents

· Experience working with architects and engineering teams

· Knowledge of AI evaluation, monitoring, tracing, observability, and governance

· Snowflake Cortex AI / Cortex Agents experience is preferred

· Experience with autonomoagentic AI projects is a plus

· AWS or Azure experience

· Life Sciences / Healthcare / Pharmaceutical experience is preferred

· Experience with regulated data such as HIPAA, PHI/PII is a plus

· Snowflake certification is preferred