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Job description
Job Overview
We are seeking a Senior Product Manager, Services to define and scale our Services portfolio supporting our AI Factory Platform strategy. This role will lead the strategy, design, and commercialization of services offerings across the AI lifecycle— from initial implementation and integration through ongoing operations and optimization. You will shape how customers successfully design, build, deploy, and manage AI factories, ensuring measurable outcomes and long‑term value. You will work cross‑functionally with engineering, sales, delivery, and partners to develop repeatable, high‑impact service solutions that accelerate customer adoption and operational success at scale.
Responsibilities
Define and own the services product strategy and roadmap aligned to the AI Factory Platform
Develop scalable offerings across: Professional services (design, deployment, integration)
Managed services (operations, monitoring, optimization)
Lifecycle services (support, upgrades, and performance tuning)
Drive standardization and repeatability of service delivery for AI/HPC environments
Partner with delivery teams to ensure services are operationally scalable and margin‑conscious
Collaborate with sales and marketing on packaging, positioning, and pricing of services
Translate customer and market requirements into clear service definitions and SLAs
Establish KPIs to measure adoption, customer outcomes, and service performance
Engage directly with strategic customers and partners to refine offerings and accelerate growth
Qualifications
BS/BA in Computer Science, Engineering, or a related field. MBA preferred.
7+ years of product management experience in services, infrastructure, or enterprise technology
Strong understanding of professional and managed services models
Experience with AI/ML infrastructure, HPC, cloud, or data center environments
Ability to translate technical solutions into commercially viable service offerings
Proven track record of launching and scaling customer‑facing service portfolios
Strong cross‑functional leadership and communication skills
Preferred Qualifications
Experience with as‑a‑service or consumption‑based models
Familiarity with GPU infrastructure, Kubernetes, or large‑scale distributed environments
Background working with enterprise or hyperscaler customers
Location
This is an onsite or hybrid position in Maynard, MA.
Travel
Less than 10%
Compensation & Benefits
The base pay range that the Company reasonably expects to pay for this position in Maynard, MA is $150,000 – 170,000; the pay ultimately offered may vary based on business considerations, including job‑related knowledge, skills, experience, and education. The position is bonus‑eligible, and there are medical, dental, and vision benefits available. There is a 401k saving plan and other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan.
Inclusion & Belonging Statement
We are committed to creating an inclusive environment that embraces differences and fosters belonging for all.
Equal Opportunity Statement
We are an Affordative Action/Equal Opportunity Employer and strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, national origin, race, ethnicity, creed, gender, disability, veteran status, or any other characteristic protected by law.
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Worksite address
maynard, MA, 01754, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.