Senior Engineering Manager, Cloud Cost Optimization
Box · Redwood City, CA, United States
About this role
**Senior Engineering Manager, Cloud Cost Optimization** **Box (NYSE: BOX)** is the leader in Intelligent Content Management—helping organizations manage the entire content lifecycle, secure critical content, and transform workflows with enterprise AI. ## Why Box needs you Box’s Cloud Operations organization stewards reliability, scale, and efficiency across the platform. We’re hiring a **Senior Engineering Manager** to lead an **engineering-first FinOps team** responsible for forecasting and optimizing **public cloud and SaaS spend**, including **emerging AI services**. ## What you’ll do - Own and continuously improve the forecast for Box’s public cloud spend and SaaS/AI services - Lead an engineering-first FinOps team building scalable tooling, pipelines, and models on **GCP/BigQuery** and **Python/SQL** - Translate usage, telemetry, and cost signals into clear, actionable insights for executives and engineering partners - Identify, prioritize, and drive optimization initiatives; influence partner teams and protect outcomes when needed - Establish operating rhythms, dashboards, and metrics to increase visibility and accelerate decision-making - Coach and develop senior ICs; set a high bar for code quality, analytical rigor, and results - Partner with Cloud Ops, SRE, Data, and Finance to align on plans, tradeoffs, and ROI - Extend cost governance to SaaS platforms and AI services; explore pragmatic applications of agentic AI where valuable - Manage and coordinate the team’s on-call rotation, participate in escalated incidents, and drive improvements to minimize disruptions ## Who you are - **5+ years** of engineering management experience leading mid-to-senior ICs - Strong technical foundation with hands-on engineering background; fluency in **Python, BigQuery, and SQL** - Deep experience with **Google Cloud Platform** (or equivalent public cloud) with ability to ramp quickly on GCP - Proven track record managing/analyzing very large datasets to produce accurate forecasts and recommendations - Demonstrated ownership and proactivity—start conversations, drive alignment, and deliver outcomes - Executive-ready communicator who can tailor complex topics for engineers through VP/C-suite - Background in **FinOps, SRE, data engineering/science,** or internal tooling for cloud platforms; experience with large-scale cloud spend ## Work location / schedule Boxers are expected to work from their assigned office **at least 3 days per week**. *(#LI-Hybrid)* ## Pay range (Redwood City) **$253,000 — $316,000 USD** ## Equal Opportunity Box is an equal opportunity employer and values diversity. Reasonable accommodations are available for applicants with disabilities. *#LI-DR*
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