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

... 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 ...

... 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 ...

... 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 ...

Principal Technical Program Manager - AI

Waltham, MA · On-site

$139K - $180K/yr

Reporting to the VP of AI for Motorola Solutions, the Principal Technical Program Manager will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale ...

Areas of excellence include AI for wireless systems, Open RAN, AI-RAN, spectrum sharing, mmWave and ... INSI seeks a Program Manager to support a major new federally funded cooperative agreement in the ...

Areas of excellence include AI for wireless systems, Open RAN, AI-RAN, spectrum sharing, mmWave and ... INSI seeks a Program Manager to support a major new federally funded cooperative agreement in the ...

AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the ... Program Manager Program Managers at SharkNinja assist in owning the entire New Product Development ...

That's why our benefits program supports your physical, emotional, mental, and financial health ... The Senior Manager, AI & Analytics owns the Accounting & Finance Systems Reporting, Data & AI ...

AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the ... Program Managers at SharkNinja assist in owning the entire New Product Development (NPD) process ...

PROGRAM MANAGER/PROJECT MANAGER Seeking a strong Program Manager/Project Manager. You are to lead ... AI First, AI Native * Opportunity to help drive Tillster's evolution into an AI First/Native ...

Global Program Manager

Boston, MA · On-site

$151K - $241K/yr

AI has the potential to change this, compressing decades of R&D work into years. But that only ... ROLE OVERVIEW Benchling is seeking an experienced customer-facing Global Program Manager (GPM) to ...

Staff Technical Program Manager

Waltham, MA · Hybrid

$139K - $180K/yr

You will bridge the gap between heavy-duty mechanical engineering workflows and agile AI/SaaS ... Program Architecture: Own the end-to-end management of this strategic Partnership Program. Design ...

Executive Services Program Manager

Boston, MA · On-site +1

$195K - $245K/yr

We want AI to be safe and beneficial for our users and for society as a whole. Our team is a ... About the Role: We're looking for a personal security program manager to support a fast-growing ...

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Showing results 1-20

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 Aug 21, 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 cities near Sutton, MA are hiring for Ai Program Manager jobs?

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

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.

AI Enablement Program Manager

Klaviyo

Boston, MA • On-site

Full-time

Re-posted 11 days ago


Job description

This role is based in our Boston office - and it's one of the most visible things we're building right now.

Klaviyo's engineering org is scaling fast, and we're making a deliberate bet on AI-first engineering. We don't want AI to be something engineers use occasionally, we want it embedded in how every engineer at Klaviyo works from day one. This is the role that makes that happen.

You'll help every engineer at Klaviyo move faster with more confidence-by design, not by accident. If you love building systems that enable outsized impact and enjoy teaching others how to win, this is the role. This IC role sits at the heart of engineering effectiveness. You'll partner closely with Developer Infrastructure, Eng Leadership, HRBP, Recruiting/RCs, L&D, Security, and peers in Engineering Operations (e.g., Tools & Metrics) to translate insights into programs, tAI ooling, and rituals that help teams deliver.

Build the systems, onboarding, and learning programs that make every Klaviyo engineer productive from day one-and more effective every quarter. You'll design an AIfirst onboarding and enablement experience, standardize "how engineering works" at Klaviyo, and run experiments that measurably improve developer velocity, quality, and satisfaction. The result: faster ramps, fewer friction points, and a culture of continuous improvement across R&D.

How you'll make a difference

  • Own engineering team onboarding and time-to-impact. Design and run a Day 0 through Day 30/60/90 onboarding experience that is AI-first by default, including environments, access, labs, first PRs, and success metrics. Reduce time-to-first-impact and ensure a consistent, high-quality ramp for new engineers, in close partnership with L&D.
  • Enable embedding AI into daily engineering workflows like backlog and PR synthesis, and incident summaries. Partner closely with Developer Infrastructure and Engineering Leadership to operationalize AI in ways that align with platform direction. Pilot tools, measure adoption and impact, and share playbooks that lift team productivity.
  • Codify how engineering works. Build and maintain living training and documentation that explain our engineering systems, development lifecycle, code review norms, CI and release practices, and incident hygiene, so teams can move fast in the same direction.
  • Design and scale technical learning programs. Create, pilot, and iterate on learning paths, workshops, demos, and lunch-and-learns that build fluency in 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 expectations to Engineering. Design and deliver learning and enablement for Engineering Managers focused on how engineering operates, including planning and execution norms, tooling, metrics, onboarding new team members, and leading effectively within Klaviyo's engineering system. Partner with HRBP and L&D to diagnose the needs and customize content specific to technical leadership.
  • Facilitate high-impact live learning. Lead engaging, audience-appropriate learning sessions for engineers and engineering managers, incorporate feedback, and evolve content to maximize relevance and impact.
  • Define and track enablement success. Establish north-star metrics and success criteria for onboarding, learning, and productivity initiatives. Use data, qualitative feedback, and experimentation to assess impact, surface trade-offs, and recommend next steps.
  • Partner on onboarding delivery and iteration. Facilitate engineering onboarding on a rotating basis, ensure smooth execution, and share feedback with onboarding DRIs. Maintain and evolve onboarding documentation, content, and training materials.
  • Strengthen the recruiting-to-onboarding handoff. Partner with Recruiting and RCs to align competencies, interview assessments and starter projects so new hires are set up to succeed from day one.
  • Elevate engineering culture and learning. Enable tech talks, internal workshops, and communities of practice that spread best practices, reinforce learning norms, and raise the bar on craft and collaboration. Partner closely with HRBP, EBP, and Engineering Leadership.
  • Communicate clearly and consistently. Craft timely, high-quality communications for engineering programs and initiatives, including announcements, updates, and internal resources, ensuring clarity, consistency, and discoverability.

Who you are

  • Technical practitioner and systems thinker. You've been an engineer or worked very closely with engineering and truly understand the workflow; you understand IDEs, Git, CI/CD, testing, and can break down technical systems for others. You care about measurable impact, reliability, and developer productivity.
  • Operatorteacher. Clear writer and facilitator who creates clarity, reduces ambiguity, and equips others with crisp guidance, examples, and artifacts.
  • Outcomeoriented and accountable. You model ownership, intensity, and urgency; you push work to closure and measure results, not just activity.
  • Collaborative across functions. Comfortably partners with Eng Leaders, Dev Infra, Product, HRBP, Recruiting/RCs, L&D, and Security; aligns to Klaviyo values and is motivated by winning as a team..
  • Preferred experience (guidance, not gates): 5-8+ years across software engineering, developer productivity/enablement, platform/devtools, or engineering operations; experience designing onboarding/bootcamps or developer education is a plus.

Nice to haves

  • Experience measuring and improving developer experience (e.g., review SLAs, CI stability, environment setup) and publishing impact metrics.
  • Handson with CI/CD and modern SDLC tooling; ability to script/lightweight automate workflows.
  • Program design for learning (labs, guilds, workshops) and strong technical writing portfolio.
  • Experience rolling out AI tools internally and establishing responsibleuse guardrails.

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