Product Manager
US$170,000 – US$200,000 / yr base salary
Posted 29 Sep 2026
Advertised as “Senior Product Manager”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | US$170,000 – US$200,000 / yr |
|---|
As a Senior Product Manager at vCluster Labs, you'll partner directly with the Head of Product and engineering leadership on the decisions that shape where the product goes next. You'd be joining at a pivotal moment as we scale.
As a Senior Product Manager, your role will include:
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Technical Direction: Align on business priorities and technical direction for your product surface, and translate that into specs engineering can execute against.
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Founder Partnership: Work directly with the Head of Product and Engineering leadership on the architecture tradeoffs that determine the product's trajectory.
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Hands-on Validation: Run alpha and beta builds yourself. Catch integration issues before customers do.
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Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated enterprises, and large internal platform teams. The next zero-to-one comes from these conversations.
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Market Positioning: Track the cloud-native ecosystem and emerging tenancy primitives. Sharpen the narrative for technical buyers and partner with GTM on messaging that lands.
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Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it.
This Role is a Fit for You if You Bring
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Experience: 5+ years in product management, in cloud infrastructure, platform services, or distributed systems. You've shipped something other engineers depend on in production.
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Kubernetes Fluency: You have working knowledge of Kubernetes, how clusters, workloads, and namespaces fit together.
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Customer-Facing Infra Experience: You've sat across from platform engineers and architects, and you're comfortable in that conversation.
Bonus Points For
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Kubernetes-as-a-Service: Built a KaaS offering at a cloud provider, vendor, or large internal platform team.
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AI & MLOps Infrastructure: GPU scheduling, multi-tenant accelerator workloads, LLM deployment patterns.
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Internal Developer Platforms: Platform PM experience building IDPs that abstract infrastructure complexity for developer teams.
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Adaptable to startup pace and change.