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Sr Manager AI Platforms
Fa Exhh Saasfaprod1 Fa Ocs Oraclecloud Com CX 3004 · Framingham, MA, United States; Staples Corporate Center, Framingham, MA, US · On Site · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Exhh Saasfaprod1 Fa Ocs Oraclecloud Com CX 3004 |
| Title | Sr Manager AI Platforms |
| Normalized title | - |
| Department / team | Technology, E-Commerce & Data Science |
| Location | Framingham, MA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-07 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Exhh Saasfaprod1 Fa Ocs Oraclecloud Com CX 3004. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Framingham. | Open |
| Department jobs | Active postings in Technology, E-Commerce & Data Science. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Exhh Saasfaprod1 Fa Ocs Oraclecloud Com CX 3004 |
| Source | 117c8938-830d-4a8d-b52e-637487665021 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
The Senior Manager AI Platforms will join the Enterprise Data, ML & AI organization and will be responsible for owning, evolving, and scaling Staples’ AI/ML platform capabilities, including GenAI platforms, agentic frameworks, and supporting infrastructure. This role is focused on enabling teams across Sales, Customer Service, Marketing, Merchandising, and other business units to build, deploy, and operate production‑grade AI solutions safely, reliably, and at scale.
This is a critical leadership role requiring strong technical depth, platform mindset, and cross‑functional collaboration. The Senior Platform Manager will define the platform vision and roadmap, connect current platform capabilities to future enterprise needs, and drive execution through an iterative, agile delivery model. This role partners closely with AI/ML Engineering, Data Engineering, Cloud Infrastructure, Security, Architecture, and Product teams, as well as external vendors and technology partners.
The purpose of this role is to accelerate AI adoption across the enterprise, reduce friction for teams building AI solutions, ensure strong governance and reliability, and maximize the business value of Staples’ AI investments.
What you’ll be doing:
Own and evolve the enterprise AI/ML platform strategy, including AI/ML platform capabilities, GenAI tooling, agent frameworks, and shared services Define and maintain a clear platform roadmap that aligns business priorities with scalable, secure, and reliable technical capabilities Drive the maturation of AI/ML platforms from early enablement to enterprise‑scale, production‑ready systems Partner with engineering teams to: Translate business and product needs into platform capabilities and standards Define architecture patterns, guardrails, and best practices for AI/ML development and deployment Collaborate with product managers and business stakeholders to: Enable faster experimentation while ensuring production readiness Balance short‑term delivery needs with long‑term platform sustainability Prioritize platform initiatives based on enterprise impact, risk reduction, adoption, and ROI Establish and track platform success metrics, including adoption, reliability, performance, cost efficiency, and developer productivity Partner with Security, Privacy, and Compliance teams to ensure responsible AI, access controls, and governance are built into the platform Manage vendor and partner relationships (e.g., cloud providers, AI platforms) to ensure optimal use of external technologies Communicate platform vision, roadmap, and progress clearly to technical and non‑technical stakeholders
What’s needed – Basic Qualifications:
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent work experience. 8+ years of experience in platform management, product management, technology leadership, software engineering, data engineering, AI/ML engineering, or infrastructure leadership. 4+ years of experience working with AI/ML platforms, MLOps, GenAI systems, model lifecycle management, or ML infrastructure in an enterprise environment. 2+ years experience with Databricks and cloud AI platforms such as Azure, Google Cloud Platform, or AWS. Experience owning or delivering shared platforms, reusable services, or infrastructure capabilities used by multiple teams. Strong understanding of AI/ML development lifecycle, including experimentation, deployment, monitoring, model governance, and operational support. Experience working in agile delivery models and cross-functional technology environments. Strong communication skills, with the ability to translate complex technical concepts into clear business and executive-level narratives. Proven ability to partner with engineering, architecture, security, product, and business teams to deliver enterprise technology capabilities.
What’s needed – Preferred Qualifications:
Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns. Experience with Databricks, MLflow, Feature Store concepts, model serving, model monitoring, CI/CD, observability tools, and cloud-native infrastructure. Strong understanding of scalability, reliability, resiliency, observability, access controls, and cost management for enterprise platforms. Experience defining and enforcing platform standards, APIs, reusable patterns, governance models, and engineering best practices. Experience with responsible AI practices, model risk management, privacy controls, and enterprise AI governance. Ability to break down complex platform challenges into clear, iterative, deliverable capabilities.
We Offer:
Inclusive culture with associate‑led Business Resource Groups 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday) Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!
The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.
Company
Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.
Full job record
| Job ID | 8879b9e7b15fecbfa5715520312e7f0f8af4bddc |
| Org ID | 38b3df1d-86bb-4a4b-8421-56aeca293c40 |
| Source ID | 117c8938-830d-4a8d-b52e-637487665021 |
| Board ID | 117c8938-830d-4a8d-b52e-637487665021 |
| Provider | oracle_hcm |
| Provider Job Key | 68861 |
| Title | Sr Manager AI Platforms |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Framingham, MA, United States; Staples Corporate Center, Framingham, MA, US |
| Department | Technology, E-Commerce & Data Science |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | MA |
| City | Framingham |
| Salary Raw | Description The Senior Manager AI Platforms will join the Enterprise Data, ML & AI organization and will be responsible for owning, evolving, and scaling Staples’ AI/ML platform capabilities, including GenAI platforms, agentic frameworks, and supporting infrastructure. This role is focused on enabling teams across Sales, Customer Service, Marketing, Merchandising, and other business units to build, deploy, and operate production‑grade AI solutions safely, reliably, and at scale. This is a critical leadership role requiring strong technical depth, platform mindset, and cross‑functional collaboration. The Senior Platform Manager will define the platform vision and roadmap, connect current platform capabilities to future enterprise needs, and drive execution through an iterative, agile delivery model. This role partners closely with AI/ML Engineering, Data Engineering, Cloud Infrastructure, Security, Architecture, and Product teams, as well as external vendors and technology partners. The purpose of this role is to accelerate AI adoption across the enterprise, reduce friction for teams building AI solutions, ensure strong governance and reliability, and maximize the business value of Staples’ AI investments. What you’ll be doing: Own and evolve the enterprise AI/ML platform strategy, including AI/ML platform capabilities, GenAI tooling, agent frameworks, and shared services Define and maintain a clear platform roadmap that aligns business priorities with scalable, secure, and reliable technical capabilities Drive the maturation of AI/ML platforms from early enablement to enterprise‑scale, production‑ready systems Partner with engineering teams to: Translate business and product needs into platform capabilities and standards Define architecture patterns, guardrails, and best practices for AI/ML development and deployment Collaborate with product managers and business stakeholders to: Enable faster experimentation while ensuring production readiness Balance short‑term delivery needs with long‑term platform sustainability Prioritize platform initiatives based on enterprise impact, risk reduction, adoption, and ROI Establish and track platform success metrics, including adoption, reliability, performance, cost efficiency, and developer productivity Partner with Security, Privacy, and Compliance teams to ensure responsible AI, access controls, and governance are built into the platform Manage vendor and partner relationships (e.g., cloud providers, AI platforms) to ensure optimal use of external technologies Communicate platform vision, roadmap, and progress clearly to technical and non‑technical stakeholders What’s needed – Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent work experience. 8+ years of experience in platform management, product management, technology leadership, software engineering, data engineering, AI/ML engineering, or infrastructure leadership. 4+ years of experience working with AI/ML platforms, MLOps, GenAI systems, model lifecycle management, or ML infrastructure in an enterprise environment. 2+ years experience with Databricks and cloud AI platforms such as Azure, Google Cloud Platform, or AWS. Experience owning or delivering shared platforms, reusable services, or infrastructure capabilities used by multiple teams. Strong understanding of AI/ML development lifecycle, including experimentation, deployment, monitoring, model governance, and operational support. Experience working in agile delivery models and cross-functional technology environments. Strong communication skills, with the ability to translate complex technical concepts into clear business and executive-level narratives. Proven ability to partner with engineering, architecture, security, product, and business teams to deliver enterprise technology capabilities. What’s needed – Preferred Qualifications: Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns. Experience with Databricks, MLflow, Feature Store concepts, model serving, model monitoring, CI/CD, observability tools, and cloud-native infrastructure. Strong understanding of scalability, reliability, resiliency, observability, access controls, and cost management for enterprise platforms. Experience defining and enforcing platform standards, APIs, reusable patterns, governance models, and engineering best practices. Experience with responsible AI practices, model risk management, privacy controls, and enterprise AI governance. Ability to break down complex platform challenges into clear, iterative, deliverable capabilities. We Offer: Inclusive culture with associate‑led Business Resource Groups 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday) Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more! The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation. Company Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-exhh-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Staples/job/68861 |
| Apply URL | https://fa-exhh-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Staples/job/68861 |
| First Seen At | 2026-05-31 17:56:43Z |
| Last Seen At | 2026-06-06 19:17:37Z |
| Last Checked At | 2026-06-06 19:17:37Z |
| Last Changed At | 2026-05-31 17:56:43Z |
| Inactive At | — |
| Source Posted At | 2026-05-07 20:06:30Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-exhh-saasfaprod1.fa.ocs.oraclecloud.com|CX_3004/date=2026-06-06/2026-06-06T19-16-43-030Z-204f1fe99cce8d07da94f686bf2915b2f2aa5e73ae1b26a9297dced49c132894.json |
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"ExternalDescriptionStr": "<p style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">The Senior Manager AI Platforms will join the Enterprise Data, ML & AI organization and will be responsible for owning, evolving, and scaling Staples’ AI/ML platform capabilities, including GenAI platforms, agentic frameworks, and supporting infrastructure. This role is focused on enabling teams across Sales, Customer Service, Marketing, Merchandising, and other business units to build, deploy, and operate production‑grade AI solutions safely, reliably, and at scale.</span></span></p><p style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">This is a critical leadership role requiring strong technical depth, platform mindset, and cross‑functional collaboration. The Senior Platform Manager will define the platform vision and roadmap, connect current platform capabilities to future enterprise needs, and drive execution through an iterative, agile delivery model. 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tooling, agent frameworks, and shared services</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Define and maintain a clear platform roadmap that aligns business priorities with scalable, secure, and reliable technical capabilities</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Drive the maturation of AI/ML platforms from early enablement to enterprise‑scale, production‑ready systems</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Partner with engineering teams to: </span></span><ul style=\"list-style-type: circle;\"><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Translate business and product needs into platform capabilities and standards</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Define architecture patterns, guardrails, and best practices for AI/ML development and deployment</span></span></li></ul></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Collaborate with product managers and business stakeholders to: </span></span><ul style=\"list-style-type: circle;\"><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Enable faster experimentation while ensuring production readiness</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Balance short‑term delivery needs with long‑term platform sustainability</span></span></li></ul></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Prioritize platform initiatives based on enterprise impact, risk reduction, adoption, and ROI</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Establish and track platform success metrics, including adoption, reliability, performance, cost efficiency, and developer productivity</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Partner with Security, Privacy, and Compliance teams to ensure responsible AI, access controls, and governance are built into the platform</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Manage vendor and partner relationships (e.g., cloud providers, AI platforms) to ensure optimal use of external technologies</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Communicate platform vision, roadmap, and progress clearly to technical and non‑technical stakeholders</span></span></li></ul><p> </p><p style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 13.5pt;\">What’s needed – Basic Qualifications:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent work experience. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">8+ years of experience in platform management, product management, technology leadership, software engineering, data engineering, AI/ML engineering, or infrastructure leadership. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">4+ years of experience working with AI/ML platforms, MLOps, GenAI systems, model lifecycle management, or ML infrastructure in an enterprise environment. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">2+ years experience with Databricks and cloud AI platforms such as Azure, Google Cloud Platform, or AWS. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Experience owning or delivering shared platforms, reusable services, or infrastructure capabilities used by multiple teams. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Strong understanding of AI/ML development lifecycle, including experimentation, deployment, monitoring, model governance, and operational support. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Experience working in agile delivery models and cross-functional technology environments. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Strong communication skills, with the ability to translate complex technical concepts into clear business and executive-level narratives. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Proven ability to partner with engineering, architecture, security, product, and business teams to deliver enterprise technology capabilities.</span></span></li></ul><p> </p><p style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 13.5pt;\">What’s needed – Preferred Qualifications:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\"> Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Experience with Databricks, MLflow, Feature Store concepts, model serving, model monitoring, CI/CD, observability tools, and cloud-native infrastructure. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Strong understanding of scalability, reliability, resiliency, observability, access controls, and cost management for enterprise platforms. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Experience defining and enforcing platform standards, APIs, reusable patterns, governance models, and engineering best practices. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Experience with responsible AI practices, model risk management, privacy controls, and enterprise AI governance. </span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Ability to break down complex platform challenges into clear, iterative, deliverable capabilities. </span></span></li></ul><p style=\"line-height: 15pt; margin-bottom: 0in;\"> </p><p style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 13.5pt;\">We Offer:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Inclusive culture with associate‑led Business Resource Groups</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)</span></span></li><li style=\"line-height: 15pt;\"><span style=\"font-family: "Segoe UI", sans-serif;\"><span style=\"font-size: 10.5pt;\">Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!</span></span></li></ul><p> </p><p><span style=\"font-size: 12pt; line-height: 107%;\">The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.</span></p><p> </p>",
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"LocationName": "Staples Corporate Center"
}
],
"LegalEmployer": null,
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"WorkplaceType": "On-site",
"BusinessUnitId": 300000009476951,
"OrganizationId": 300000010192636,
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"PrimaryLocation": "Framingham, MA, United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": "ORA_ON_SITE",
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [
{
"Name": "United States",
"Latitude": 39.82844,
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"CountryCode": "US",
"GeographyId": 300000000466744,
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}
],
"ShortDescriptionStr": "",
"requisitionFlexFields": [],
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"PrimaryLocationCountry": "US",
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},
"detail_meta": {
"url": "https://fa-exhh-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2268861%22,siteNumber=CX_3004",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 15478
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/8879b9e7b15fecbfa5715520312e7f0f8af4bddc?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/38b3df1d-86bb-4a4b-8421-56aeca293c40JSONGET https://api.bluedoor.sh/job-postings/v1/sources/117c8938-830d-4a8d-b52e-637487665021JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/8879b9e7b15fecbfa5715520312e7f0f8af4bddc/eventsJSON