CrawlJobs Logo
Hewlett Packard Enterprise Logo Hewlett Packard Enterprise · IT - Software Development

Senior AI Factory Solution Product Manager

United States, Spring 126500.00 - 276500.00 USD / Year · Job Posted March 14, 2026

Job offer has expired

Job Link Share

Job Description

Senior AI Factory Solution Product Manager

Job Responsibility

  • Define and drive the overall AI factory at-scale and sovereign solution vision, roadmap, and features, while closely aligning with customer needs and HPE strategic goals
  • Define and drive the key software components necessary for the solution, which may be a mix of HPE developed, commercial and community IP
  • Conduct market research, competitive analysis, and customer interviews to identify AI factory opportunities and validate solution ideas and software features in a quick turn manner
  • Collaborate with engineers, product managers and presales architects to translate requirements into technical specifications and prototypes. Use this data to inform the build/partner/buy decision on key SW
  • Oversee the software integration and end-to-end solution lifecycle, from feature ideation and MVP development to launch, iteration, and scaling
  • Monitor solution performance using KPIs like full-stack wins, product mix, customer satisfaction, and iterate offering based on data insights
  • Work with legal, finance, pricing and supply chain to setup and manage resale contracts for commercial SW
  • Partner with sales and marketing to develop go-to-market strategies, pricing models, support strategies and customer enablement materials
  • Ensure solution complies with ethical AI standards while ensuring highest level of data privacy and sovereignty (e.g., GDPR, CCPA)
  • Stay abreast of AI trends, such as generative models, agentic AI, and industry applications

Requirements

  • Bachelor's degree in Computer Science, Engineering, Business, or a related field
  • MBA or advanced degree preferred
  • 8+ years of product management experience
  • At least 5 years focused on AI/ML products or solutions
  • Demonstrated ability to build large-scale AI solutions that bring together hardware, software and services into a cohesive offering
  • Strong understanding of AI technologies, including AI/ML lifecycle (training, tuning, inferencing), large language models, computer vision, and cloud-based AI platforms (e.g., AWS SageMaker, Microsoft AzureML, Google AI)
  • Proven track record of launching successful AI products, with experience in agile methodologies and tools like Jira
  • Background in High Performance Computing (HPC) and experience blending it with AI workloads will be an advantage
  • Excellent analytical skills, with proficiency in data analysis and market testing
  • Outstanding communication and stakeholder management abilities, capable of presenting to technical and non-technical audiences up to the senior executive/SVP levels
  • Ability to thrive in a startup-like fast-paced, innovative environment with strong problem-solving skills

Nice to have

Background in High Performance Computing (HPC) and experience blending it with AI workloads will be an advantage

What we offer

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Hewlett Packard Enterprise - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior AI Factory Solution Product Manager

8 matching positions

New

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...
Location
Location
Italy , Milano
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
  • Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
  • Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
  • Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
  • Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
  • Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
  • Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
  • Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
  • Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
  • Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Job Responsibility
Job Responsibility
  • Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
  • Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
  • Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
  • Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
  • Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
  • Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
  • Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
  • Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
  • Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
  • Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps
  • Fulltime
Read More
Arrow Right
New

Head of Applied AI & Agent Factory - Managing Director

Location
Location
United States , New York
Salary
Salary:
250000.00 - 500000.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of progressive leadership experience, including senior roles building and scaling delivery organizations - consulting partnerships, Forward Deployed Engineering / solutions engineering teams, or comparable in-business technology delivery functions inside complex firms.
  • Builder-operator profile — has personally stood up and scaled delivery organizations from a small core to hundreds of practitioners, ideally inside or alongside large, regulated businesses.
  • Deep current expertise in modern AI - agentic systems, LLM-based applications, AI evaluation and certification, and the practical realities of getting AI agents adopted in production enterprise environments.
  • Strong commercial and storytelling skills - credible peer to business COOs and CEOs
  • able to co-design process redesigns and to sell the change rather than impose it.
  • Bias to action, ruthlessly outcome-focused - relentless on real adoption, usage, and business impact rather than activity metrics
  • comfortable killing projects that aren't landing.
  • Cross-functional influencer - proven ability to operate in a matrixed environment across product, platform, controls, and business stakeholders without direct authority over all of them.
  • Strong financial acumen - fluent in business cases, ROI realization, and the commercial drivers of a complex global firm.
  • Risk & Compliance awareness - understands controls, model risk, and regulatory expectations as they apply to AI agents in global banking.
Job Responsibility
Job Responsibility
  • Operate the Agent Factory: an industrialized capability for the design, build, evaluation, and certification of enterprise AI agents at Citi scale.
  • Define and continuously evolve the firm's standards, patterns, and reference implementations for enterprise agents in close partnership with the Head of Core AI Platform (who provides the agentic runtime, guardrails, and evals) and the Head of Responsible AI (who owns approval and controls).
  • Own the official enterprise agent catalog - the curated, certified set of agents that Citi formally sanctions for production use across the firm - including lifecycle management, versioning, and decommissioning.
  • Build and lead a cadre of Applied AI engineers embedded directly into business lines, partnering with business COOs and process owners to design, deliver, and scale AI agents inside real workflows.
  • Co-design agent-led process redesigns with business COOs - moving beyond point automations to the redesign of end-to-end business processes around AI agents.
  • Operate a deliberate 'delivery-to-platform' feedback loop: ensure reusable assets, patterns, and components emerging from business-specific work are fed back into the Core AI Platform and Enterprise AI Solutions portfolio rather than re-built.
  • Partner with the Head of Enterprise AI Solutions to graduate high-leverage, repeatedly built business solutions into productized, horizontal capabilities.
What we offer
What we offer
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • Fulltime
Read More
Arrow Right

Senior Product Manager, Data & Retrieval

Harvey is building the AI platform for the world’s top legal and professional se...
Location
Location
United States , San Francisco
Salary
Salary:
178500.00 - 241500.00 USD / Year
harvey.ai Logo
Harvey
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building or managing search, retrieval, recommendation, or data platforms at scale
  • Experience working with complex, heterogeneous, or domain-specific datasets with structured + unstructured data
  • Understanding of modern retrieval methods, including hybrid search (lexical + vector), dense retrieval, re-ranking, embeddings, chunking strategies, and index optimization
  • Hands-on experience with LLMs or RAG frameworks (evaluation, grounding, hybrid pipelines, query rewriting, LLM-as-a-judge, retrieval metrics)
  • Ability to partner with engineers on technical architecture, with enough depth to challenge assumptions, propose solutions, and influence design
  • A product mindset for search—balancing user needs, domain complexity, and system constraints to propose high-leverage improvements
Job Responsibility
Job Responsibility
  • Drive the roadmap and strategy for Harvey’s “Data Factory”, ensuring we scale our data 100x through new platforms that build the ‘legal index’ of the world
  • Work with internal operations and external data providers to methodically expand coverage, accelerate execution, and improve dataset quality
  • Own and evolve Harvey’s end-to-end data architecture—from ingestion and transformation to storage, indexing, and retrieval—ensuring performance, reliability, and scalability for LLM-powered products
  • Partner with Applied AI engineers to build and optimize retrieval systems, embeddings, search models, and evaluation frameworks
  • Architect and oversee large-scale ingestion pipelines that aggregate, normalize, and continuously update millions of heterogeneous legal documents across global jurisdictions
  • Collaborate cross-functionally with Product Engineering, Applied AI, Research, and Platform teams to deliver high-quality production systems that support reasoning, summarization, and legal research workflows
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits (401k match up to 4%)
  • flexible PTO
  • equity plan
  • bonus
  • Fulltime
Read More
Arrow Right

Senior Data Scientist II

Role: Senior Data Scientist – Conversational AI, LLM Location: Bangalore Experie...
Location
Location
India , Bangalore, Kolkata
Salary
Salary:
Not provided
inxiteout.ai Logo
InXiteOut
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ Years
  • Large Language Models (LLMs) & NLP
  • RAG, agents, and multi-agent orchestration
  • Prompt engineering & LLM evaluation frameworks
  • Vector databases
  • Python (advanced proficiency)
  • FastAPI / Flask
  • Asynchronous & modular application design
  • Databricks & PySpark
  • MongoDB (schema design, indexing, optimization)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain enterprise-grade Conversational AI systems using modern architectural patterns
  • Build context-aware AI applications leveraging LLMs, vector databases, and multi-agent orchestration frameworks
  • Develop and optimize prompt engineering strategies for reliability, evaluation, and performance tuning
  • Implement LLM interaction workflows including RAG, tool usage, and agent-to-agent communication
  • Design and integrate Knowledge Graphs to enhance contextual intelligence and reasoning
  • Develop graph-based solutions using enterprise Neo4j with strong proficiency in Cypher query language and graph algorithms
  • Implement graph traversal, inference, and graph analytics for AI use cases
  • Build modular, scalable, and maintainable Python-based AI applications
  • Develop high-performance REST APIs using Fast / Flask framework
  • Implement asynchronous processing and orchestration workflows
  • Fulltime
Read More
Arrow Right

Specialist Sales Manager - Cloud & AI Platforms

Microsoft’s mission is to empower every person and every organization on the pla...
Location
Location
United States , Multiple Locations
Salary
Salary:
133000.00 - 222700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 6+ years experience in technology-related sales or account management OR equivalent experience
  • This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship
Job Responsibility
Job Responsibility
  • Lead, coach, and develop a team of 10–12 quota‑carrying Cloud & AI Platform sales specialists to deliver customer outcomes and meet or exceed quota across Infrastructure, Data, AI, App Modernization, Developer, and Security
  • Establish a high‑performance culture focused on accountability, disciplined execution, pipeline rigor, forecasting accuracy, and consistent deal governance tied to quota attainment
  • Drive coaching and operational cadence (pipeline reviews, deal inspections, forecast calls, business rhythm) to improve conversion, quality, and predictability
  • Set clear expectations for seller execution, including opportunity ownership, milestone hygiene, and cross-role orchestration required to drive consistent performance
  • Own and execute an industry-specific Azure strategy across a portfolio of Majors Enterprise High Tech & Process Manufacturing customers, prioritizing the highest-impact opportunities that drive quota attainment
  • Lead the team to align customer priorities to Microsoft solution plays and translate strategy into actionable pursuits tied to measurable business outcomes
  • Drive the territory strategy around the highest-impact motions, including: Modernize SAP and adjacent enterprise applications, including migration, modernization, and enterprise integration patterns
  • Data estate modernization and AI platform adoption, including governance, analytics modernization, and scalable AI enablement
  • Supply Chain outcomes, including visibility, agility, planning, and risk management scenarios
  • Product Design / Digital Engineering outcomes, including engineering data platforms, simulation/HPC readiness, and digital thread enablement
  • Fulltime
Read More
Arrow Right

Operations Program Manager, AI Infrastructure

OpenAI’s Hardware organization develops silicon and system-level solutions desig...
Location
Location
United States , San Francisco
Salary
Salary:
177000.00 - 285000.00 USD / Year
openai.com Logo
OpenAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in Operations, Engineering, Program Management, or equivalent, within hardware development, manufacturing, or supply chain domains (compute, networking, datacenter, or similarly complex systems)
  • Proven track record leading complex hardware NPI programs end-to-end, from early bring-up through production ramp
  • Strong understanding of manufacturing and supply chain fundamentals, including BOM management, ECO/MCO processes, build readiness, factory test, quality controls, and material planning
  • Demonstrated ability to lead cross-functional teams, influence senior stakeholders, and drive decisions in ambiguous, time-compressed environments
  • Exceptional written and verbal communication skills, with the ability to distill complex issues for executive and external audiences
Job Responsibility
Job Responsibility
  • Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production
  • Translate OpenAI’s infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks
  • Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations
  • Proactively identify inflection points where decisions or investments are required to protect long-term scale, reliability, or cost targets
  • Influence operational strategy with manufacturing partners by setting expectations on execution rigor, accountability, and continuous improvement
  • Drive overall NPI build readiness, including material accountability, manufacturing and test readiness, product data availability, factory infrastructure, and qualification plans
  • Lead transition activities from NPI to mass production, partnering closely with Sustaining Operations teams to ensure seamless ownership transfer
  • Translate engineering requirements into actionable, factory-ready plans with tier-1 manufacturing and integration partners
  • Lead cross-functional build and debug cadences
  • ensure issues are clearly owned, aggressively driven, and formally closed with root cause and prevention
What we offer
What we offer
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Fulltime
Read More
Arrow Right

Senior Solutions Architect

The Senior Solutions Architect at NTT DATA will lead the design and implementati...
Location
Location
Malaysia , Petaling Jaya
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years in IT
  • 5+ years specifically in Azure Data & AI Architecture
  • Expert-level knowledge of Azure SQL, Databricks, Fabric, and OpenAI
  • Proven track record of winning multi-million-ringgit deals in Malaysia or Southeast Asia
  • Deep understanding of PDPA and/or BNM RMiT is highly advantageous
  • Exceptional English proficiency (written and verbal)
  • fluency in Bahasa Malaysia or Mandarin is a significant plus for local client engagement
Job Responsibility
Job Responsibility
  • Design and implement modern data platforms utilizing Azure Synapse, Data Factory, Data Lake, and Microsoft Fabric
  • Architect Lakehouse and real-time streaming solutions tailored for the Malaysian enterprise landscape
  • Implement data governance using Microsoft Purview, ensuring adherence to the Personal Data Protection Act (PDPA) 2010
  • Architect AI/ML and GenAI solutions leveraging Azure OpenAI Service and Azure Machine Learning
  • Develop AI Copilot strategies and customized LLM applications for local business use cases
  • Establish Responsible AI frameworks that meet both global standards and local ethical guidelines
  • Lead discovery workshops and AI Readiness Assessments for C-suite stakeholders (CIO/CDO/CTO)
  • Own the technical solutioning for RFP/RFI responses, especially for large-scale Malaysian digital initiatives
  • Develop localized ROI/TCO models and architecture blueprints that justify cloud spend in a cost-sensitive market
  • Lead Proof-of-Concept (POC) deliveries to demonstrate tangible value to stakeholders
  • Fulltime
Read More
Arrow Right

Senior AI/ML Engineer

Location
Location
United Kingdom , Chester
Salary
Salary:
80000.00 GBP / Year
jobs.360resourcing.co.uk Logo
360 Resourcing Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML
  • Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflow
  • Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL
  • Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit-learn
  • Strong understanding of data modelling, data governance, security and responsible AI practices
  • Excellent problem-solving skills and the ability to explain technical concepts to varied audiences
  • Ability to manage priorities and deliver results in a fast-paced environment
Job Responsibility
Job Responsibility
  • Build and maintain end-to-end AI/ML pipelines in Microsoft Fabric
  • Design, train, deploy, and monitor machine learning and deep learning models
  • Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback
  • Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions
  • Uphold data quality, governance, security, and responsible AI practices
  • Evaluate and adopt new tools and technologies to enhance our AI/ML platform
  • Mentor junior colleagues and foster a culture of innovation and knowledge sharing
What we offer
What we offer
  • Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through our performance-based bonus program
  • 33 days’ holiday (including bank holidays), plus up to 5 extra with long service
  • Option to purchase extra holiday days if you wish
  • A day off for your birthday
  • 2 volunteering days per year
  • Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay)
  • Pension scheme with employer contributions
  • Discounted and last-minute stays at Forest Holidays and Sykes Cottages for you, your friends & family
  • Special offers and discounts designed to enhance your overall wellbeing
  • Health cash plan & life assurance
  • Fulltime
Read More
Arrow Right