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Ai Program Manager Jobs in Sutton, MA (NOW HIRING)

Klaviyo

AI Enablement Program Manager

Boston, MA

... AI and emerging technologies. Use stakeholder input and program data to continuously improve and scale what works. * Enable engineering manager effectiveness. Translate Klaviyo's leadership ...

Klaviyo

AI Enablement Program Manager

Boston, MA · On-site

... AI and emerging technologies. Use stakeholder input and program data to continuously improve and scale what works. * Enable engineering manager effectiveness. Translate Klaviyo's leadership ...

State Street Corporation

Programme Manager

Boston, MA · On-site

$110K - $188K/yr

Use latest AI technology to build efficiencies in the project & program management processes * Document overall program schedule, milestones, and cross product dependencies - leverage existing forums ...

State Street

Programme Manager

Boston, MA · On-site

$110K - $188K/yr

Use latest AI technology to build efficiencies in the project & program management processes * Document overall program schedule, milestones, and cross product dependencies - leverage existing forums ...

State Street Global Advisors

Programme Manager

Boston, MA · On-site

$110K - $188K/yr

Use latest AI technology to build efficiencies in the project & program management processes * Document overall program schedule, milestones, and cross product dependencies - leverage existing forums ...

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All JobsAi Program JobsAi Program Manager JobsAi Program Manager Jobs in Sutton, MA

Ai Program Manager information

See Sutton, MA salary details

$40.2K

$112.3K

$164.1K

How much do ai program manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai program manager in Sutton, MA is $112,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $138,500.00 per year, depending on experience, location, and employer.

What is an AI program manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

What are some common challenges faced by AI program managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

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

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options. Strong project management skills and knowledge of AI tools are important for this role.

What job categories do people searching Ai Program Manager jobs in Sutton, MA look for?

The top searched job categories for Ai Program Manager jobs in Sutton, MA are:

What cities near Sutton, MA are hiring for Ai Program Manager jobs?

Cities near Sutton, MA with the most Ai Program Manager job openings:

Ai Program Manager jobs near you
Infographic showing various Ai Program Manager job openings in Sutton, MA as of July 2026, with employment types broken down into 66% Full Time, 23% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $112,322 per year, or $54 per hour.

Physical AI Technical Program Manager (TPM)

Boston, MA • On-site

Inabia Solutions and Consulting, Inc.
IT Services • 11 - 50 employees
Learn more about Inabia Solutions and Consulting, Inc.external

$140K - $181K/yr

Full-time

Posted 17 days ago

Job description

Physical AI Technical Program Manager
Employer: Inabia Solutions & Consulting, Inc.
Location: Boston, Massachusetts
Work Arrangement: Onsite, five days per week
Employment Type: Contract, W-2
Compensation: Competitive compensation
Work Authorization: U.S. Citizen or Green Card only
About the Role
Inabia Solutions & Consulting is seeking an experienced Physical AI Technical Program Manager to support the development of a new Physical AI team in Boston.
Building a Physical AI program from the ground up involves interconnected engineering workstreams, lab-readiness activities, hardware build cycles, validation campaigns, and technical dependencies. This role will provide the structure, technical insight, and program leadership required to keep those efforts aligned and moving forward.
This is not a traditional project coordination position. The Technical Program Manager must be comfortable participating in hardware design reviews, understanding complex engineering discussions, asking informed questions, and translating technical status into clear program decisions, risks, and priorities.
The right candidate will know how to create structure in an ambiguous environment, manage multiple technical workstreams, and hold teams accountable without adding unnecessary administrative overhead.
What You'll Be Doing
Program Planning and Execution
  • Own the integrated program plan for the Boston Physical AI team, including hardware builds, lab operations, validation campaigns, and engineering milestones.
  • Build and maintain a current dependency map across onsite and remote engineering teams.
  • Identify technical and schedule risks before they affect major milestones.
  • Establish and manage program cadences, including sprint planning, milestone reviews, risk reviews, and cross-team meetings.
  • Track action items, technical decisions, owners, deadlines, and commitments across workstreams.
  • Hold teams accountable for deliverables and follow-through.
  • Adjust program plans as technical requirements, schedules, and priorities change.
Risk and Decision Management
  • Identify technical, schedule, resource, and dependency risks.
  • Develop and drive practical mitigation plans instead of only reporting problems.
  • Determine which decisions require leadership involvement and which should be resolved within the engineering teams.
  • Establish clear escalation paths for unresolved risks and blockers.
  • Build and maintain program dashboards that provide leadership with current visibility into milestones, risks, decisions, and dependencies.
  • Reduce manual status collection by creating reliable reporting processes and tools.
  • Facilitate structured tradeoff discussions when technical requirements, resources, or priorities conflict.
  • Document decisions, owners, and expected outcomes.
Cross-Team Alignment
  • Serve as the primary connection between onsite lab teams, engineering teams, remote contributors, and organizational stakeholders.
  • Translate detailed engineering status into clear program-level updates.
  • Communicate program progress, risks, blockers, and decisions to engineering leadership.
  • Coordinate with supply chain, facilities, IT, partner engineering teams, and other external stakeholders.
  • Resolve dependencies that fall outside the immediate Physical AI team.
  • Manage new requests, scope changes, and shifting priorities while maintaining clarity about what is included in the approved program plan.
Process and Tooling
  • Build practical program management processes designed for a fast-moving research and development environment.
  • Establish enough structure to support accountability and execution without creating unnecessary administrative burden.
  • Select and manage program-tracking tools such as Jira, Confluence, Asana, or comparable platforms.
  • Drive consistent adoption of program tools and reporting standards.
  • Create RACI frameworks for major workstreams to clarify ownership, decision authority, and accountability.
  • Develop templates for status reporting, risk tracking, decision documentation, and milestone management.
Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, or a related technical field.
  • Seven or more years of technical program management experience.
  • At least three years of experience managing programs involving hardware development, robotics, physical systems, or related technologies.
  • Strong technical foundation with the ability to understand hardware build processes, engineering dependencies, and testing and validation workflows.
  • Demonstrated experience managing complex programs with multiple concurrent technical workstreams.
  • Experience operating in ambiguous, greenfield, or rapidly changing environments.
  • Proven ability to build program-management processes, tools, reporting structures, and operating cadences from the ground up.
  • Strong risk identification, mitigation planning, and escalation-management skills.
  • Excellent written and verbal communication skills.
  • Ability to produce clear status reports, risk registers, dependency maps, and decision documents.
  • Experience working closely with engineering, lab, operations, and leadership teams.
  • Ability to work onsite in Boston five days per week.
Preferred Qualifications
  • Experience in Physical AI, robotics, autonomous systems, or advanced hardware research and development.
  • Knowledge of hardware development lifecycles, including new product introduction, prototype builds, EVT, DVT, and PVT.
  • Understanding of the dependencies, risks, and common failure points associated with hardware development.
  • Experience adapting agile methodologies to hardware-development programs.
  • Previous experience with a hyperscaler, advanced AI lab, robotics company, or high-growth technology organization.
  • Experience coordinating supply chain, facilities, IT, and external engineering partners.
  • Familiarity with hardware and software integration programs.
A Day in the Life
You may begin the day by reviewing the program dashboard and identifying open issues from a recent hardware build. A delayed component delivery has created an upstream dependency, so you update the risk register, assess the integration impact, and provide the engineering lead with possible mitigation options.
Later that morning, you lead a cross-team program review with the lab manager and technical lead. During the meeting, you facilitate a focused discussion between hardware and software teams concerning an unresolved interface specification. You drive the group toward a decision, document the outcome, and assign follow-up actions.
In the afternoon, you update the integrated program plan to account for a recent scope change, review milestone dependencies, and prepare the agenda for the next leadership review. Before ending the day, you respond to questions from a partner team in another time zone to prevent unresolved issues from becoming future blockers.
About Inabia Solutions & Consulting
Inabia Solutions & Consulting provides technology consulting, engineering, staffing, and workforce solutions to organizations managing complex business and technical initiatives. We connect clients with experienced professionals who can contribute quickly and deliver measurable results.
Inabia Solutions & Consulting is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other status protected by applicable law.

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