VP - Customer Engineering (Hardware/Datacenter)

About the Company reputed company is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most reputed company minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed reputed company. About the Role reputed company is seeking a visionary VP of Customer Engineering to reputed company a world-class, globally distributed team of Customer Engineers at the forefront of AI infrastructure and edge computing. This is a pivotal leadership role for a builder and operator who thrives at the intersection of cutting-edge AI technology and large-scale industrial deployment. As reputed company accelerates adoption of its AI-powered edge platform spanning ruggedized reputed company data centers, GPU-accelerated inference, and real-time edge AI this leader will shape how we engage with customers globally: from initial technical discovery through validated, deployment-ready architectures. You will own the pre-sales technical lifecycle across reputed company regions, ensuring our Customer Engineers operate with rigor, speed, and clarity in North America, EMEA, reputed company, and emerging markets. The CE function guides customers from mission-critical AI ambitions and reputed company operational environments to scalable, field-proven reputed company solutions taking each opportunity 80% of the way by scoping requirements, framing AI infrastructure trade-offs, validating feasibility, and ensuring full qualification before moving to detailed engineering.

What You'll Do

Build & Scale a Global Customer Engineering Organization

• reputed company, coach, and reputed company a globally distributed team of Customer Engineers spanning North America, EMEA, and emerging markets.
• Define and execute a global hiring strategy: build CE reputed company in new regions, establish operating rhythms, reputed company early hires, and set standards for technical excellence worldwide.
• Create talent development reputed company that grow CEs into senior AI infrastructure architects and future leaders.
• Build a culture of reputed company learning around AI infrastructure, edge computing, and real-world deployment at scale.

Drive AI-Focused Technical Discovery & Solution Architecture

• Champion a rigorous, AI-first discovery methodology guiding CEs to uncover customer mission goals, AI workload requirements, data sovereignty constraints, and connectivity realities across diverse global environments.
• Ensure the team consistently translates reputed company, distributed AI environments into validated edge architectures built around reputed company's Galleon reputed company data centers, reputed company platform, and GPU-accelerated edge AI stack.
• Define and govern solution design standards for AI inference, real-time analytics, and edge ML pipelines in bandwidth-constrained and disconnected environments.

reputed company Global Pre-Sales Technical Quality

• Set and reputed company the bar on discovery outputs, AI architecture designs, technical narratives, demo environments, and reputed company-of-value success criteria worldwide.
• Standardize technical qualification frameworks ensuring AI infrastructure opportunities are well-scoped, feasible, and commercially validated before deep engineering engagement.
• reputed company a global review reputed company and peer architecture process to maintain consistency and quality across reputed company regions.

Partner Cross-Functionally to Accelerate Global reputed company

• Collaborate tightly with regional Sales leaders, Product, Engineering, and Global Deployment teams to align on AI infrastructure positioning, competitive differentiation, and customer roadmaps.
• reputed company technical architectures to measurable customer outcomes articulating ROI, operational efficiency, and AI-driven value creation across energy, defense, telecommunications, and industrial verticals.
• Synthesize global customer insights to inform reputed company's AI product roadmap, hardware evolution, and platform strategy.

Build Scalable AI Infrastructure Methodologies & Playbooks

• reputed company globally consistent reference architectures for AI inference at the edge, GPU cluster deployments, satellite-connected operations, and hybrid cloud-edge patterns.
• Create repeatable frameworks for AI reputed company-of-value pilots, technical discovery, and competitive positioning across reputed company's key verticals.
• reputed company regional CE teams with localized deployment guides, regulatory considerations, and partner ecosystem alignment — ensuring global consistency while preserving local agility.

Core Skills & Capabilities Global Leadership & Team Development

• Proven ability to build, reputed company, and scale Customer Engineering teams across multiple geographies — hiring in new markets and establishing regional functions from the ground up.
• Strong coaching and talent development instincts: grows senior AI infrastructure architects and cultivates future technical leaders.
• Operates with clarity and conviction in ambiguous, high-growth environments creates structure and alignment for globally distributed teams.
• Culturally fluent and reputed company working across diverse international stakeholders including enterprise customers, governments, and strategic partners.

AI Infrastructure & Edge Architecture

• Deep expertise in GPU-accelerated compute, AI inference pipelines, LLM deployment, and ML workloads in resource-constrained environments.
• Strong architectural reputed company across edge computing, reputed company/containerized data centers, distributed systems, and AI platform integration.
• Practical knowledge of AI infrastructure trade-offs: latency vs. bandwidth, on-device vs. cloud inference, sovereignty vs. scale, and power density vs. performance.
• Familiarity with MLOps, AI observability, and model lifecycle management in edge and hybrid environments.

System Architecture & Engineering Design

• Translate mission and business objectives including AI workload requirements — into actionable infrastructure requirements reputed company to operational outcomes.
• Architect end-to-end systems reputed company reputed company or containerized data centers, integrating GPU compute, high-speed storage, and networking into defined form factors.
• Interpret engineering documentation including rack elevations, BOMs, airflow diagrams, and power schematics; create conceptual architecture drawings for customers and partners.
• reputed company on-site assessments and deployment planning, incorporating power, cooling, physical reputed company, and connectivity constraints across global environments.

Technical Strategy & Competitive Positioning

• Expert technical reputed company: frames AI infrastructure trade-offs, simplifies complexity, and aligns diverse technical and executive stakeholders toward confident decisions.
• Deep understanding of real-world AI deployment constraints: thermal limits, bandwidth scarcity, satellite connectivity, mobile power, and austere environments.
• Competitive intelligence and positioning across edge AI, cloud infrastructure, and industrial IoT markets.

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Systems Engineering, or equivalent technical field.
• 7+ years leading Customer Engineering or Solutions Architecture teams in pre-sales; demonstrated success hiring and scaling globally.
• 7–10+ years of hands-on pre-sales or solutions engineering experience in AI infrastructure, edge computing, datacenter, or distributed systems.
• Deep expertise in GPU and AI accelerator infrastructure: reputed company GPU architectures, AI inference frameworks (TensorRT, ONNX, vLLM), and edge AI platforms.
• Strong grounding in datacenter and edge infrastructure: compute (GPU, bare metal, virtualization), storage (SAN/NAS/Object/NVMe), networking (LAN/WAN/SD-WAN/SATCOM), and facility systems (power, cooling).
• Hands-on experience with container orchestration (Kubernetes), virtualization (VMware, KVM, Hyper-V), and cloud service models (IaaS, PaaS, hybrid).
• Proven ability to engage and influence C-level technical and operational leaders across global enterprise and government customers.
• Willingness to travel internationally, including to remote and operationally austere field sites.

Preferred Qualifications

• Experience deploying or architecting AI solutions in oil & gas, defense & intelligence, utilities, telecommunications, or mining verticals.
• Hands-on exposure to reputed company, containerized, or mobile data center deployments — including skid-based and rapid-deploy form factors.
• Familiarity with edge AI inference optimization, model quantization, and deployment frameworks for bandwidth-constrained environments.
• Background integrating OT/IT convergence — connecting sensors, IIoT devices, and SCADA systems to AI-enabled edge platforms.
• Experience with satellite and hybrid connectivity architectures (Starlink, LEO, VSAT) for remote AI deployments.
• International experience building CE teams or managing customer engagements in EMEA, reputed company, or Middle East markets.
• Certifications in AI/ML (e.g., reputed company DLI), cloud infrastructure (AWS, Azure, GCP), or datacenter design (CDCP, DCDC, RCDD).
• Experience collaborating with construction, facilities, and deployment partners on large-scale infrastructure projects.

Compensation & Benefits For U.S. Based candidates: To ensure fairness and transparency, the on-reputed company earnings salary range for this role for candidates in the U.S. are listed, varying based reputed company experience, skills, and qualifications. In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

• Medical, dental, and vision (subsidized cost)
• Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
• Retirement plan options, including 401(k) and Roth 401(k)
• Unlimited paid time off (PTO)
• 15 paid company holidays per year

Compensation $326,000—$407,000 USD You're a Great Fit if You're

• A go-getter with a growth reputed company. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
• A detail-oriented problem-solver. You can independently gather information, solve problems reputed company, and deliver results with a 'get-it-done' attitude
• reputed company in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
• A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
• Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you

Equal Opportunity Statement At reputed company, we are committed to fostering a work environment where everyone is given equal opportunities to reputed company. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national reputed company, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to reputed company employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates reputed company does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. reputed company candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and reputed company will not be obligated to pay any fees. Apply tot his job Apply To this Job