WHAT IS BOX?

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.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

As a Cloud & AI Finance Intern, you will play a key role in analyzing and forecasting Box's AI and cloud infrastructure spend. You will partner with Engineering, Product, and Finance teams to model token economics, evaluate model utilization, connect to large telemetry datasets in BigQuery, and deliver actionable insights that optimize Box's investments in cutting-edge AI and cloud technologies.

WHAT YOU'LL DO

• Token & AI Usage Modeling: Build, maintain, and refine quantitative models tracking AI token consumption, prompt/completion ratios, caching efficiencies, and model inference costs across multiple AI model providers and workloads.

• Cloud & Infrastructure Spend Analytics: Analyze compute, storage, and infrastructure spend trends across cloud platforms (e.g., GCP/AWS), identifying key cost drivers and variances against forecast.

• Data Integration & BigQuery Pipelines: Query and connect to Google BigQuery data warehouses to extract large-scale usage telemetry, automate recurring data pipelines, and streamline financial reporting workflows.

• Model Utilization & Capacity Analysis: Track model usage patterns, agentic workflows, and API call volumes to evaluate infrastructure utilization, capacity planning, and unit economics (e.g., cost per query/workflow).

• AI Trends & Benchmarking: Research emerging AI industry trends, agent architectures, and pricing/token economics to benchmark Box’s AI cost structures against industry standards.

• Dashboarding & Reporting: Design and build automated dashboards (e.g., Tableau, Google Looker Studio, Mode) to provide self-serve visibility into AI and Cloud spend for key stakeholders.

WHO YOU ARE

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.

• Education & Focus: Currently pursuing a Bachelor’s or Master’s degree in Finance, Economics, Data Science, Computer Science, Business Analytics, or a related quantitative discipline.

• Passion for AI & Emerging Tech: Deep curiosity and enthusiasm for artificial intelligence, large language models (LLMs), agentic frameworks, and AI token economics.

• Data & Technical Skills:

• Proficiency in SQL and querying large relational datasets/data warehouses (experience with Google BigQuery is a strong plus).

• Advanced proficiency in Excel / Google Sheets with experience building structured quantitative or financial models.

• Analytical Problem Solver: Strong quantitative reasoning and structured thinking with the ability to transform high-volume telemetry and usage logs into clean, interpretable financial insights.

• Proactive & Growth-Oriented: Eager to learn modern AI engineering concepts, take initiative on ambiguous projects, and leverage AI tools to automate workflows and amplify team impact.

• Effective Communicator: Able to articulate technical findings and financial takeaways clearly to both technical (Engineering) and business (Finance/Leadership) audiences.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value 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. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here.

Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.