Jobs at nOps

• Actively manage and optimize GCP commitment portfolios across large and complex customer environments
• Evaluate existing commitment positions, coverage, utilization, expiration schedules, and financial exposure

• Own the daily health and performance of our Databricks Lakehouse environment (jobs, pipelines, security, workspace cleanup)
• Build and maintain data pipelines in SQL and Python that transform data into consumable formats

• Own the messaging and positioning for nOps' commitment management product line.
• Build sales enablement materials that move the needle, including battlecards, decks, one pagers, objection handling frameworks, and value proposition scripts.

nOps is the leading FinOps platform helping enterprises manage and optimize over $4B in cloud spend across AWS, Azure, and GCP. We are a Series B growth stage startup building modern, AI-powered infrastructure to help our customers save money on their cloud investments.

• Owns full project delivery from architecture through production, across backend infrastructure, APIs, lakehouse connections, and front end work.
• Builds the customer ingestion and authentication flows that power the nOps platform.

• Contribute to building and improving commitment management pipelines across AWS, Azure, and GCP
• Help develop agentic workflows to ingest, normalize, and reconcile large-scale cloud billing and usage data

• Build analytical models to forecast cloud spend, usage patterns, and risk exposure across multiple commitment instruments
• Evaluate and manage commitment ladders — design optimal maturity structures to balance savings and flexibility

• Own your territory strategy. From a list of core accounts, determine a plan to prioritize the highest potential companies and access key decision makers in the sales process, in concert with hyperscaler and channel partners.
• Drive net new logo acquisition through a mix of inbound follow-up, outbound prospecting, and ch...

• Design, build, and own the commitment management pipelines across AWS, Azure, and GCP
• Build agentic workflows to ingest, normalize, and reconcile large-scale cloud billing and usage data