Senior FinOps Analyst, Cloud

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Qdrant

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).

📋 Description

• 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

• 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

• A competitive salary with additional perks. • Flexible working hours and async-friendly culture. • High ownership and real impact. • Open-source, engineering-driven culture. • Choose your own laptop equipment. • Comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.