Senior Engineering Manager, Cloud Ops

Senior Engineering Manager, Cloud Operations

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

Responsibilities

• Own and continuously improve the forecast for Box’s public cloud spend and SaaS/AI services.
• Lead an engineering-first FinOps team to build scalable tooling, pipelines, and models on GCP/BigQuery and Python/SQL.
• Translate complex usage, telemetry, and cost signals into clear, actionable insights for executives and engineering partners.
• Identify, prioritize, and drive optimization initiatives; influence partner teams and say no when needed to protect outcomes.
• Establish operating rhythms, dashboards, and metrics that raise 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 counterparts 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 to ensure timely and effective incident response, actively participate in escalated on-call incidents to provide leadership and support, and drive improvements by addressing recurring issues to minimize disruptions.

Requirements

• 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 platforms with the ability to ramp quickly on GCP.
• Proven track record managing and analyzing very large datasets to produce accurate forecasts and recommendations.
• Demonstrated ownership and proactivity: you start conversations, drive alignment, and deliver outcomes without being asked.
• Executive-ready communicator who can tailor complex topics for audiences ranging from engineers to VP/C-suite.
• Background in FinOps, SRE, data engineering/science, or internal tooling for cloud platforms; experience with large-scale cloud spend required.

Qualifications

• We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
• Experience working with large-scale cloud spend is required.
• Experience with Google Cloud Platform or equivalent public cloud platforms is required.
• Experience with Python, BigQuery, and SQL is required.
• Experience with data engineering and analysis is required.
• Experience with financial operations and operations engineering is preferred.

Benefits

Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks.

Pay

United States Pay Range: $253,000 USD - $316,000 USD

Schedule

Boxers are expected to work from their assigned office a minimum of 3 days per week.

Equal Opportunity

Box is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.