Sr. Partner Solutions Engineer
vCluster Labs · Remote · United States ·
COMPENSATION
$140k – $180k
Listed on the employer's job board (Ashby)
- Senior level role
- Fully remote worldwide
- Kubernetes & AI infra
- Partner pre-sales focus
- Equity compensation
As the first dedicated partner-facing pre-sales engineer, you will transform relationships with strategic partners into validated reference architectures and enabled sales pipelines. You will work closely with partners such as NVIDIA, WWT, and AMD to ensure vCluster is positioned effectively in GPU cloud environments.
The role requires balancing technical depth with enablement skills, allowing you to whiteboard complex architectures and train partner sellers. You will own technical discovery and proofs of concept for partner-sourced opportunities while establishing vCluster's presence in partner Centers of Excellence.
What you'll do
- Design and validate joint reference architectures with strategic partners like NVIDIA and AMD
- Create repeatable solutions with deployment guides, demo environments, and benchmarks
- Deliver technical enablement training to partner architects and sellers globally
- Enable internal field SEs to engage partners effectively and scale the partner motion
- Own technical discovery, demos, and disciplined proofs of concept for partner leads
- Establish vCluster presence in partner Centers of Excellence tied to qualified pipeline
- Build technical credibility and cultivate champions across priority partner organizations
What you'll need
- Deep expertise in Kubernetes cluster architecture and tenant isolation
- Proven experience in partner pre-sales with OEMs, GSIs, or cloud providers
- Strong track record in discovery, whiteboarding, and converting POCs to production
- Experience building enablement content, workshops, or certification paths from scratch
- Executive presence to engage both engineers and C-level stakeholders effectively
- Ability to master vCluster, vNode, and vMetal technologies quickly
Nice to have
- Experience with NVIDIA ecosystem including DGX, Dynamo, and GPU Operator
- Knowledge of GPU infrastructure, storage, and networking for AI factories
- Literacy in Weka- and VAST-class storage solutions
- Background in building or supporting GPU-as-a-Service platforms
Stack
- Kubernetes
- vCluster
- vNode
- vMetal
- NVIDIA DGX
- Slurm
- Ray
How you'll work
- Fully remote with a distributed global team
- Remote-first culture with flexible working schedules
- Headquarters in San Francisco but location agnostic
What you get
- Competitive salary package including equity
- Premium health, dental, vision, and life insurance
- Flexible schedule focused on results rather than clocking in
- Workplace flexibility to adjust environment as needed