Account Manager/Director – Neo Labs

About GMI Cloud

GMI Cloud is a leading
NVIDIA Reference Platform Cloud Partner (NeoCloud)
, delivering scalable, high-performance GPU cloud infrastructure built for the AI era.

We power the next generation of AI innovation—providing foundation model labs, AI-native unicorns, and research teams with gigawatt-scale GPU compute and optimized Model-as-a-Service (MaaS) inference engines across North America and APAC.

We operate as a high-velocity, high-ownership team deeply embedded in the AI ecosystem. In our market, brand halo alone doesn't close deals—technical credibility, speed, and real relationships do.

Role Overview

We are looking for a quota-carrying
Account Manager/Director– Neo Labs
to join our GTM team in the Bay Area. In this role, you will work directly with Neo labs founders, Heads of ML, principal researchers, and infrastructure engineers.

You are an ideal candidate if you:

• Are AI-Native:
  You deeply understand the operational friction of model training, fine-tuning, and low-latency inference workloads.
• Are an Ecosystem Connector:
  You thrive on building pipeline through organic outreach, VC networks, founder circles, and technical communities.
• Possess a Startup Mindset:
  You excel in early-stage environments without reliance on heavy inbound leads or legacy brand pull.

You will own account lifecycles end-to-end—from initial founder outreach and technical trial conversion to closing multi-node GPU cluster commitments and driving long-term account expansion.

Key Responsibilities

1. Pipeline Sourcing & Revenue Generation

• Own and exceed a quarterly/annual revenue quota across a portfolio of Neo Labs, LLM teams.
• Build a predictable pipeline through targeted outbound outreach, leveraging your personal network, VC incubator events, and founder ecosystems.
• Convert early-stage technical trials and POCs into high-value, recurring customer commitments (both reserved GPU capacity and usage-based MaaS APIs).

2. Founder & Researcher Engagement

• Engage directly with C-level founders, Lead ML Engineers, and AI Researchers to evaluate their compute roadmaps, budget cycles, and speed-to-market goals.
• Act as a technical partner rather than a transactional seller—understanding the nuanced differences between LLM training, post-training RLHF, and production inference serving.
• Work as a key liaison between early-stage founders and internal technical leadership.

3. Technical & Value-Based Selling

• Articulate GMI Cloud’s value proposition across modern NVIDIA hardware, high-speed interconnects (InfiniBand/RoCE), and software-defined cluster orchestration.
• Partner closely with internal
  Solutions Architects
  and
  Technical Account Managers
  to clear technical blockers and accelerate deployment timelines.
• Guide customers on cost-performance trade-offs between bare-metal cluster reservations and API-driven inference workloads.

4. Account Growth & Ecosystem Expansion

• Drive net-retention and account expansion (NRR) as client models scale from early prototype to mass deployment.
• Maintain hyper-responsive engagement with key accounts as they scale through funding rounds and user growth.
• Synthesize customer requirements and competitive pricing insights to directly inform Product and Engineering roadmaps.

What We’re Looking For

Experience & Track Record

• 5-10 years
  of quota-carrying experience in account management, sales, or business development within Cloud (IaaS), Compute, GPU Infrastructure, or AI/ML Developer Platforms.
• Proven track record of meeting or exceeding revenue targets when selling to technical buyers (CTOs, ML Engineers, Founders, Research Scientists).
• Demonstrated experience closing both committed-use contracts and consumption-based cloud usage.

AI & Technical Fluency

• Deep familiarity with AI/ML developer workflows, cluster scaling requirements, and latency/throughput metrics for model serving.
• Technical fluency to discuss GPU compute, memory bandwidth, network topology, and cloud storage basics with confidence.
• You don’t need to train models yourself—but you must speak the language of those who do.

Network & Mindset

• Active involvement in the Bay Area AI ecosystem (familiarity with YC/VC portfolio networks, AI meetups, Hackathons, and AI research circles).
• High-ownership self-starter who thrives in fast-paced, fluid startup environments.
• Empathetic, curious, and resilient team player with exceptional verbal and written executive communication skills.

Key Performance Indicators (KPIs)

• Revenue quota attainment (New Business & Expansion).
• Outbound pipeline generation velocity.
• Conversion rate from POC / Technical Trial to paid contract.
• Account retention and Net Revenue Retention (NRR).