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Generative Ai Project Manager Jobs in Boston, MA

AskCIP

AI Strategist

Cambridge, MA · On-site

$132K - $171K/yr

Use Case Development Define, scope, and prioritize AI projects across functions (product, finance ... Technical-Business Bridging Translate complex AI/ML capabilities, including Generative AI, agentic ...

CIP Recruiting Services

AI Strategist

Cambridge, MA · On-site

$132K - $171K/yr

Use Case Development Define, scope, and prioritize AI projects across functions (product, finance ... Technical-Business Bridging Translate complex AI/ML capabilities, including Generative AI, agentic ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · On-site

Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives * Generative AI Development:

Iberdrola

Lead Engineer - Cloud & Gen AI

Boston, MA · On-site

$60.50 - $81/hr

... management. The Lead Engineer, Cloud and Generative AI will provide technical leadership, and mentorship will guide team members on cloud and AI-related projects, while problem-solving skills to ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Boston, MA

Generative Ai Project Manager information

See Boston, MA salary details

$41.8K

$111.6K

$176K

How much do generative ai project manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for generative ai project manager in Boston, MA is $111,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $133,600.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

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

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Boston, MA?

For Generative Ai Project Manager jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Project Manager jobs in Boston, MA look for?

The top searched job categories for Generative Ai Project Manager jobs in Boston, MA are:

What cities near Boston, MA are hiring for Generative Ai Project Manager jobs?

Cities near Boston, MA with the most Generative Ai Project Manager job openings:

Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Boston, MA as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $111,554 per year, or $53.6 per hour.

AI Strategist

AskCIP

Cambridge, MA • On-site

$132K - $171K/yr

Full-time

Re-posted 21 days ago

Job description

Description:

About the Role

We're seeking an AI Strategist to bridge the gap between cutting-edge artificial intelligence capabilities and tangible business outcomes. In this role, you'll shape our AI roadmap, identify transformative opportunities, and guide AI initiatives from concept through successful deployment. You'll work cross-functionally to translate technical possibilities into business value while ensuring our AI systems remain ethical, trustworthy, and aligned with company objectives.

Key Responsibilities

AI Vision & Strategy Develop and implement comprehensive AI strategies that align with company goals, identifying high-impact opportunities for AI integration across the organization.

Use Case Development Define, scope, and prioritize AI projects across functions (product, finance, customer service, operations) using frameworks like ICE (Impact, Confidence, Ease) to ensure resources are directed toward maximum-value initiatives.

Technical-Business Bridging Translate complex AI/ML capabilities, including Generative AI, agentic workflows, and emerging technologies into clear, business-friendly language that enable non-technical stakeholders to make informed decisions.

Operationalization: Guide AI prototypes and pilots through the full innovation funnel, from ideation to production deployment and scaling, ensuring smooth transitions and sustained value creation.

Governance & Ethics Establish and maintain AI governance frameworks that ensure our systems are trustworthy, compliant with data privacy regulations (GDPR, CCPA, etc.), and aligned with ethical AI principles.

Performance Metrics Define KPIs and measurement frameworks to track ROI, adoption rates, and value creation of AI initiatives, providing data-driven insights to optimize ongoing and future projects.


What Success Looks Like

Within your first year, you will have established a clear AI roadmap, launched 3 high-impact AI use cases into production, and built strong collaborative relationships across business teams. You'll have created frameworks and processes that enable the organization to evaluate, develop, and deploy AI solutions efficiently and responsibly.

Requirements:

Qualifications Required:

  • 5 years      of experience in AI/ML strategy, digital transformation, or related roles
  • Demonstrated      understanding of AI/ML technologies, including LLMs, generative AI, and      agentic systems
  • Proven      track record of translating technical concepts for executive and      non-technical audiences
  • Experience      prioritizing and managing multiple AI initiatives simultaneously
  • Strong      understanding of data privacy regulations and AI ethics frameworks
  • Excellent      stakeholder management and communication skills

Preferred:

  • Experience      with AI governance and responsible AI practices
  • Background      in Insurance, Finance, Business Consulting
  • Technical      degree or certifications in AI/ML, data science, or related fields
  • Familiarity      with cloud AI platforms (Azure AI, AWS, GCP)
  • Experience      with change management and organizational adoption strategies

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