Head of Business Development, Inference Service Providers – AI Cloud Offtake

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $220k - $300k / year

⏰ Full Time

🔴 Lead

💰 Business Development (BDR)

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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vCluster

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

💰 $24M Series A on 2024-05

SaaS • Enterprise

vCluster is a Kubernetes virtualization product (from loft-sh) that creates virtual Kubernetes clusters on top of existing Kubernetes infrastructure. It enables dedicated, multi-tenant or private-node clusters for use cases like internal platform standardization, hybrid Kubernetes deployments, sovereign or dedicated customer environments, AI cloud providers and distributed inference. vCluster is positioned as a tooling/product solution for enterprises operating Kubernetes at scale, offering managed features, releases and integrations for internal K8s platforms and cloud-native workflows.

📋 Description

• Lead commercial relationships with participating NVIDIA Cloud Partners and other AI Clouds • Verify technical readiness and reservation authority during onboarding • Track available, reserved, and planned GPU capacity by type, count, region, price, and delivery date • Reach inference service providers, model builders, AI startups, and ISVs to develop funded inference demand • Verify budget owner, launch date, and minimum commitment before buyers enter the funnel • Launch intake, routing, and partner-acceptance workflows with RevOps and Product • Match buyers based on performance, residency, price, and timing • Assign referrals owners and response dates, and reroute stalled opportunities • Create partner-specific offers, sales playbooks, and technical workshops • Run joint campaigns and co-sell with partner representatives and vCluster Sales • Measure trial-to-paid-production conversion • Forecast GPU usage by type, region, and month • Advise AI Cloud executives on adding, reallocating, or deferring GPUs • Lead negotiations on price, minimums, ramp schedules, service levels, and delivery risk • Validate performance with Solutions Engineering • Resolve launch blockers with Engineering • Verify first billing and close the software order with the account executive • Report partner offtake value, metered GPU-hours against commitment, and booked vCluster ARR separately

🎯 Requirements

• Personally sourced and closed at least two capacity agreements, with at least one reaching paid production • 12+ years in cloud business development, partnerships, or infrastructure sales, or equivalent experience leading a business of comparable scope • Carried a revenue target • Built pipeline from scratch • Grown usage or recurring revenue across providers or regions • Access to inference buyers and people who can reserve GPUs • Launched a capacity planning, partner referral, or workload placement system adopted by field teams • Experience comparing demand forecasts with actual consumption and advising on capacity decisions • Knowledge of NVIDIA GPUs, inference developer tools, and Kubernetes • Ability to benchmark latency and throughput under peak traffic and size a reservation with a solutions architect • Ability to explain cost per million tokens and provider margin changes to a CFO • MBA or advanced technical degree is a bonus, or equivalent practical experience

🏖️ Benefits

• Equity • Commission • Health, dental, vision, and life insurance for you and eligible dependents • Flexible working schedule • Workplace flexibility

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