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Senior FinOps & Cloud Analyst

Qdrant

Remote, GermanyPosted 1 month agoFull-time

Job details

Company

Qdrant

Location

Remote, Germany

Employment type

Full-time

Seniority

Senior

Primary category

Financial Controlling

Posted date

31 Mar 2026

Valid through

Job description

This role sits at the intersection of infrastructure, pricing, product, and finance, and exists to make sure our cloud cost structure scales with customer behavior, feature growth, and revenue.

This is not just a cost optimization role. It is a unit economics role. You will help ensure that every new feature, workload, and customer segment contributes to healthy gross margins and predictable growth.

Tasks

What you’ll do

  • Own visibility into cloud unit economics, including COGS, gross margin, and contribution margin by customer and usage pattern.

  • Translate infrastructure metrics into revenue, margin, and pricing impact.

  • Build and maintain cost allocation models per customer, ideally automated and easy to trust.

  • Develop real-time dashboards that connect usage, infrastructure cost, and profitability.

  • Create alerting and reporting for margin degradation and cost anomalies.

  • Support pricing decisions for new features, product changes, and packaging evolution.

  • Model the cost impact of variable customer workloads and changing usage behavior.

  • Build forecast models for growth scenarios, including “what happens at 10× scale?”

  • Support enterprise deal modeling and commercial discussions with clear margin insight.

  • Help create a repeatable operating system for pricing and unit economics across teams.

Requirements

What you’ll bring

  • Strong analytical background and comfort working with data, cost models, and financial metrics.

  • Experience with cloud infrastructure, usage-based products, or FinOps.

  • Ability to connect technical systems to business outcomes.

  • Experience building dashboards, forecasts, or profitability models.

  • Strong SQL skills; Python or similar tooling is a plus.

  • Clear communication skills and the ability to work across Engineering, Product, Finance, and Sales.

  • A structured, ownership-driven mindset.

Nice to have

  • Experience with pricing, monetization, or packaging.

  • Exposure to enterprise deal support.

  • Experience in SaaS, AI infrastructure, or high-variance usage environments.

  • Familiarity with customer profitability segmentation.

Benefits

Shape the future of AI infrastructure

  • Work with a globally distributed, high-talent team

  • Competitive compensation + equity

  • Remote-first culture

Candidates, please submit a short non-AI-generated cover letter and explain why you think you are a great fit for this role.

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