Business Development Manager - AI Solutions NVIDIA Job at Hewlett Packard Enterprise (Singapore)

Sales Director – Oil & Gas (New Business Development)

Codvo is a global empathy-led technology services company where software enginee...

Location

United States , Houston

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

15-20 years total enterprise selling experience with consistent quota achievement
10+ years selling into Oil & Gas across upstream, midstream, downstream, petrochemical, pipeline, and OEMs
Deep domain knowledge of energy-sector digital transformation priorities
Strong track record of closing large, multi-stakeholder enterprise deals
Rigor around pipeline management, forecasting, and disciplined sales execution
Coaching experience and ability to build high-performing teams
Ability to influence senior executives and steer strategic conversations
Deep understanding of how data and AI solutions drive measurable outcomes in the energy sector
Entrepreneurial, adaptable, and comfortable building a vertical from the ground up
BA/BS required

Job Responsibility

Lead the energy-sector GTM strategy with a clear expectation to build $8-10M in qualified pipeline and close $3-4M in new revenue annually
Shape, pitch, and close digital transformation and AI-driven modernization programs
Build deep relationships with CIOs, CTOs, VPs of Digital/Data/AI, Operations, Maintenance, Supply Chain, and Plant/Field leaders
Position our offerings as enablers of operational efficiency, reliability, safety, and business growth
Drive structured sales cadences - deal reviews, forecasting, pipeline hygiene, win strategies, and qualification rigor
Mentor presales consultants on Oil & Gas enterprise selling, consultative techniques, and multi-stakeholder deal orchestration
Partner with Presales, Delivery, Marketing, Product, TA, and Engagement teams to shape winning solutions and proposals

Fulltime

HPC&AI Sales Specialist

As an HPC & AI Sales Specialist, you are a product and solution expert responsib...

Location

South Korea , Seoul

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Education: University or Bachelor's degree (Degrees in Computer Science, Electrical/Electronic Engineering, Data Science, or related STEM fields are highly preferred, but equivalent advanced IT sales experience will be fully valued)
Overall Experience: Typically 10 to 15+ years of advanced IT infrastructure sales experience (with a demonstrated track record of achieving progressively higher quotas and managing diverse enterprise/public customers)
(Preferred) Specialized Experience: 2 to 3+ years of dedicated product sales experience in the HPC and AI infrastructure space (e.g., GPU servers, high-density cluster systems, large-scale data center infrastructure solutions)
Proven Track Record: Experience driving large-scale infrastructure bidding processes, dealing with complex public Procurement/RFP processes, or closing multi-million-dollar enterprise deals
Project Management Skills: Required to coordinate cross-functional supporting sales activities, technical pre-sales, and vendor-side pricing approval desks
HPC & AI Domain Expertise: Regarded as a subject matter expert with deep knowledge of next-generation accelerator architectures (NVIDIA/AMD), high-density cluster setups, and advanced interconnect technologies
Market & Industry Acumen: Thoroughly understands the industry trends, macroeconomic trends, and market segments of key manufacturing, Telco, and research sectors in Korea
Deal Orchestration & Leadership: Demonstrates proactive leadership and initiative in successfully driving specialty sales in shared accounts—expertly managing prospecting, technical scoping, pricing negotiations, and closing
Complex Solution Selling: Ability to integrate hardware, high-value software stacks, and professional implementation services into a comprehensive strategic offer
Global Collaboration & Communication: Excellent professional working relationship-building skills, with the English proficiency required to smoothly navigate regional/global approvals (APAC/HQ) and training programs

Job Responsibility

Drive HPC & AI Pipeline & Sales Pursuit: Create, expand, and drive a proactive sales pipeline for HPC & AI solution portfolios—including NVIDIA & AMD high-performance GPUs, NVIDIA/AMD/Intel CPU cluster servers, AI networks (InfiniBand/High-speed Ethernet), and high-performance storage
Consultative Selling & C-Level Engagement: Establish professional, working, and consultative relationships with clients up to the C-level for major accounts by thoroughly understanding their unique business needs, GenAI/LLM workloads, and advanced computing challenges
Target Segment Focus: Lead and manage key strategic deals across assigned target customer segments: Enterprise: Major manufacturing companies and telecommunication providers (Telcos)
Public: Top-tier national research institutes and academic supercomputing centers
Strategic Positioning against Competitors: Maintain an in-depth understanding of the competitive landscape (e.g., alternative GPU/server vendors, CSP options) to strategically position our high-density AI infrastructure and change the playing field
Account Team Collaboration: Provide specialized business development and solution expertise to Account Managers, ensuring seamless integration of specialist sales with broader account activities
Partner & Alliance Ecosystem Leverage: Invest time working with and leveraging key external partners (including NVIDIA, AMD, Intel, and domestic Top-tier SI/distributor partners) to maximize win rates and deliver complex turnkey solutions
Quota Alignment & Forecast Management: Develop and meet quarterly/annual quota objectives for the defined product category and accurately forecast business pipeline within internal CRM systems

What we offer

Health & Wellbeing: comprehensive suite of benefits that supports their physical, financial and emotional wellbeing
Personal & Professional Development: specific programs catered to helping you reach any career goals
Unconditional Inclusion

Fulltime

Senior Client Executive - Hyperscalers

NetApp is seeking a highly motivated and experienced Senior Client Executive to ...

Location

United States , San Jose

Salary:

325550.00 - 421300.00 USD / Year

NetApp

Expiration Date

Until further notice

Requirements

12+ years of proven experience as a proven experience as a Strategic Account Manager, Client Executive, or similar role, with a focus on engaging with Nvidia Cloud Providers preferred.
Existing relationships in this ecosystem/customer segment a plus.
Strong understanding of the Hyperscaler cloud market, including the key players, industry dynamics, and emerging trends.
Demonstrated success in driving account strategy, securing design wins, and achieving revenue targets.
In-depth knowledge of AI technologies and their applications, with the ability to articulate the value proposition to clients.
Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with clients at all levels.
Strong analytical and problem-solving abilities, with a strategic mindset and the ability to identify opportunities and drive results.
Self-motivated and results-oriented, with a hunter mentality and a passion for exceeding targets.
Ability to travel as required to meet with clients and attend industry events.
Bachelor's degree in related fields of business, marketing or additional equivalent experience as stated.

Job Responsibility

Develop and execute strategic account plans to drive business growth and achieve revenue targets within the Hyperscaler and sovereign cloud market segment.
Identify and pursue new business opportunities, design wins, joint GTM offers within the ecosystem, leveraging a hunter mentality to proactively engage with potential clients.
Collaborate with cross-functional teams to develop innovative solutions and value propositions that address the unique needs this large cloud provider.
Understand the accounts and service provider business models, challenges, and opportunities to effectively position NetApp's products and services.
Build and maintain strong relationships with key decision-makers and influencers within target organizations.
Stay up to date with industry trends, market dynamics, and emerging technologies, particularly in the field of AI, to provide strategic insights and recommendations to clients.
Collaborate with internal teams to ensure successful implementation and delivery of solutions and act as a trusted advisor to clients throughout the engagement lifecycle.
Monitor and analyze market and competitor activities, providing regular updates and feedback to the leadership team.
Attend industry events, conferences, and trade shows to network, promote NetApp's products and services, and stay connected with the NCP community.

What we offer

Health Insurance
Life Insurance
Retirement or Pension Plans
Paid Time Off
various Leave options
employee stock purchase plan
restricted stocks (RSU's)
Volunteer time off
Employee Assistance Program
fitness and mental health resources

Fulltime

Sales Director – Oil & Gas

Codvo is a global empathy-led technology services company where software enginee...

Location

United States , Houston

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

15-20 Years Total Selling Experience, including 10+ Years Selling into Oil & Gas
Significant experience selling AI/ML, GenAI, Agentic AI, MLOps, Data Engineering, Data Platforms, and Digital Twin solutions
Skilled at AI consultative selling, opportunity discovery, value engineering, AI readiness, and business case development
Ability to speak with both technical and business stakeholders about AI adoption, governance, guardrails, and ROI
Experience shaping AI programs for operational reliability, predictive maintenance, supply-chain optimization, and workforce augmentation
Strong relationships across AWS, Microsoft Azure, Google Cloud, Databricks, Red Hat, Snowflake, NVIDIA, and other ISVs
Experience executing co-selling motions, marketplace selling, joint account planning, and partner-aligned GTM activities
Ability to influence partner teams to prioritize Codvo solutions in territory plans and industry-focused engagements
15-20 years total enterprise selling experience with consistent quota achievement
10+ years selling into Oil & Gas across upstream, midstream, downstream, petrochemical, pipeline, and OEMs

Job Responsibility

Drive New Business Growth in Oil & Gas
Lead the energy-sector GTM strategy with a clear expectation to build $8-10M in qualified pipeline and close $3-4M in new revenue annually
Shape, pitch, and close digital transformation and AI-driven modernization programs
Engage and Influence Senior Energy Leaders
Build deep relationships with CIOs, CTOs, VPs of Digital/Data/AI, Operations, Maintenance, Supply Chain, and Plant/Field leaders
Position our offerings as enablers of operational efficiency, reliability, safety, and business growth
Run High-Discipline Sales Operations
Drive structured sales cadences - deal reviews, forecasting, pipeline hygiene, win strategies, and qualification rigor
Lead & Coach Presales Team
Mentor presales consultants on Oil & Gas enterprise selling, consultative techniques, and multi-stakeholder deal orchestration

Fulltime

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Hybrid Datacenter Technology Sales Specialist

Make an impact with NTT DATA Join a company that is pushing the boundaries of wh...

Location

Singapore , Singapore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Seasoned demonstrated success in achieving and exceeding sales and financial goals
Seasoned in developing and encouraging meaningful customer relationships up to senior leadership level
Seasoned proficiency in delivering engaging sales presentations
Seasoned proficiency in team selling approach
Seasoned knowledge of competitors and ability to apply competing successful sales strategies
Ability to define sales strategy coupled with seasoned sales solution capabilities
Client-centric approach with ability to understand customer problems and find best-fit solutions
Flexible to adapt quickly to short, new missions or urgent deadlines
Seasoned negotiation abilities to craft solutions that are beneficial to customers, partners, and organization overall
Close attention to maintaining up to date, accurate sales forecast and close plans

Job Responsibility

Maintain subject matter expertise in the Hybrid Data Center technology domain and industry
Support the closure of sales based on technology domain knowledge
Addresses the technology conceptual challenges during the sales process
Maintains a high level of relevant product and service knowledge to have meaningful conversations with potential and existing clients
Maintains awareness of the competitive landscape, market pricing, and strategy and how to penetrate a new market
Works with relevant technology vendors and ensures a deep understanding of their solutions and how they can contribute to our own solutions set
Engages and interacts with clients to uncover and understand client business goals and articulates the solution/deliverables that the client requires, as opposed to the products that they need to buy
Prepares and conducts client workshops and presentations and establishes relationships with multiple client stakeholders and secures deals with clients to achieve assigned sales quotas and targets
Uses understanding of the client's business and depth of knowledge on the technology-specific solution to personalize the recommended solution in line with the client's need
Identifies and acts on new sales opportunities within an account and works with the sales teams to drive them to closure

Fulltime

Global Lead Architect – Hybrid Cloud, AI & HPE Platform Delivery

A highly senior, customer-facing architecture and delivery leadership role respo...

Location

Bulgaria , Sofia

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

12–15+ years in enterprise IT, with strong focus on: Solution architecture and delivery leadership
Hybrid cloud, AI/HPC, and infrastructure platforms
Proven background in professional services / delivery-led roles, not purely presales
Demonstrated experience leading large-scale, multi-technology programs end-to-end
Strong consulting mindset with excellent stakeholder and executive communication skills
Deep expertise in enterprise private cloud platforms and hybrid architectures
Strong understanding of workload migration, interoperability, and governance
AI platform design (GPU-based infrastructure, NVIDIA ecosystem)
HPC cluster architecture, workload schedulers (Slurm, PBS Pro), and performance tuning
Kubernetes ecosystems (OpenShift, Rancher, CNCF stack)

Job Responsibility

Serve as the technical validation authority during early sales cycles
Lead technical governance from opportunity qualification through delivery execution
Own solution integrity across the lifecycle—design, validation, implementation, and optimization
Architect and oversee end-to-end hybrid and private cloud solutions
Drive adoption of cloud-native, automated, and scalable architectures
Lead delivery teams across complex engagements
Act as the lead design authority ensuring delivery success for AI infrastructure and HPC deployments, Containerized platforms and cloud-native environments, Enterprise hybrid cloud transformations
Provide hands-on guidance during critical phases (design reviews, PoCs, escalations)
Lead technical due diligence during RFP/RFI responses, Solution workshops and discovery sessions, Proof-of-concept engagements
Translate business requirements into deliverable, production-ready architectures

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI Integration Engineer

We are seeking a highly motivated AI Integration Engineer to join our team and h...

Location

United States , Annapolis Junction

Salary:

112800.00 - 257000.00 USD / Year

Booz Allen Hamilton

Expiration Date

Until further notice

Requirements

5+ years of experience in infrastructure engineering or system integration roles
2+ years of experience supporting large-scale AI/ML systems or GPU-centric environments
Experience with cloud platforms such as AWS, Azure, or Google Cloud, and their AI-focused services, including SageMaker, GCP AI Platform, and Azure Machine Learning
Experience with networking concepts, including TCP/IP, DNS, NGINX, load balancing, and firewalls, applied to AI model and infrastructure deployment
Experience integrating MLOps pipelines using tools such as MLflow, Kubeflow, TensorFlow Serving, or Vertex AI, including integration of AgentOps frameworks such as LangSmith and Arize Phoenix, to monitor autonomous decision-making paths and agent reasoning traces
Experience with orchestration frameworks for multi-agent systems such as LangGraph, CrewAI, or AutoGen, and managing the stateful databases required to support them, including Redis and Postgres
Experience working with NVIDIA GPU technologies, including CUDA, NCCL, TensorRT, and DGX systems, and container or orchestration tools such as Kubernetes, Docker, Terraform, or Pulumi
Ability to manage and optimize distributed, high-performance computing environments, including clusters of GPUs and cloud-based GPU instances
TS/SCI clearance with a polygraph
Bachelor's degree in CS, Computer Engineering, or Systems Engineering

Job Responsibility

Serve as the technical point of contact for integrating LLMs and other AI workloads across infrastructure systems, operational tools, and application pipelines
Architect, deploy, and maintain scalable GPU computing environments and infrastructure required for autonomous agentic workflows, including persistent state management, long-term memory systems such as Vector DBs, and multi-step reasoning traces
Develop, manage, and optimize CI/CD pipelines for AI deployments, ensuring smooth transitions from model development to production environments
Oversee network and infrastructure connectivity, ensuring seamless communication between distributed systems, GPUs, virtual machines (VMs), APIs, and Command and Control (C2) tools
Design and secure tool-calling environments where agents interact with external APIs, ensuring strict governance and sandboxing for autonomous actions
Provide diagnostic and troubleshooting expertise for AI systems, monitoring infrastructure to maintain availability, security, and performance benchmarks
Collaborate across engineering, data, and AI teams to align infrastructure solutions with business and operational goals

What we offer

Health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards program

Fulltime

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Business Development Manager - AI Solutions NVIDIA

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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