Staff Product Manager, Box AI

WHAT IS BOX? 

Box is the market leader for Cloud Content Management. Our mission is to power how the world works together. Box is partnering with enterprise organizations to accelerate their digital transformation by creating a single platform for secure content management, collaboration and workflow. We have an amazing opportunity to further establish ourselves as leaders in the space, and we need strong advocates to help us achieve that goal. 

By joining Box, you will have the unique opportunity to help capture a majority of this developing market and define what content management looks like for the digital enterprise. Today, Box powers 100,000+ businesses, including many top Fortune 500 companies who trust our secure collaboration platform to manage the entire content lifecycle.

WHY BOX NEEDS YOU

Box AI is transforming the way businesses manage and leverage content by incorporating cutting-edge artificial intelligence and machine learning capabilities into the Box Content Cloud. As a Staff Product Manager for Box AI, you will play a key role in building the next frontier of intelligent content management, leading AI-driven solutions that revolutionize how enterprises interact with their content.

In this role, you will be at the helm of driving Box’s AI platform strategy, execution, and iteration, shaping the future of enterprise AI solutions. You’ll define and execute product roadmaps that leverage AI technologies, such as large language models (LLMs) and retrieval-augmented generation (RAG), to unlock insights, automate workflows, and improve collaboration across global enterprises. Your work will directly impact how businesses across the world manage and extract value from their content at scale.

If you're passionate about defining and leading AI product strategies, bringing AI solutions to market, and driving real-world business impact, this is your chance to lead a high-impact role in the next chapter of Box’s AI growth.

WHAT YOU'LL DO

• Lead the strategy, development, and execution of the Box AI platform, integrating advanced AI capabilities such as large language models (LLMs), retrieval-augmented generation (RAG), and vector databases into the Box Content Cloud.
• Define and own a technically complex product area, balancing the needs of internal stakeholders, enterprise customers, and the rapidly evolving field of AI-driven content management.
• Lead end-to-end product development, from identifying business problems to building AI-driven solutions, executing product roadmaps, and driving iteration based on user feedback and data.
• Launch AI-powered products that deliver measurable results, validating product-market fit and scaling AI applications across enterprise use cases.
• Collaborate with engineering, data science, and machine learning teams to design, build, and deploy AI applications for large-scale content workflows and automation.
• Establish a metrics-driven approach to product development, conducting A/B testing and performance evaluations to improve AI product outcomes.
• Work closely with cross-functional teams, including marketing, customer success, and sales, to ensure that AI-driven products meet customer needs and business goals.
• Stay up-to-date with advancements in AI and machine learning, ensuring Box remains at the forefront of enterprise AI innovation.
• Lead go-to-market strategies, partnering with key teams to effectively communicate the value of Box AI products to enterprise customers.

WHO YOU ARE

• AI Model Training for Market-Ready Products: You have extensive experience with AI model training and have successfully brought AI-powered applications and products to market. This includes proficiency in key training methods such as Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), transfer learning, and unsupervised learning. You understand how to tailor models to specific product use cases and can oversee the entire model lifecycle from training to deployment.
• Application of AI Tools and Concepts: You possess a deep understanding and hands-on experience with Retriever-Augmented Generation (RAG), vector databases, and contextual optimization for AI models. You have successfully integrated these techniques into products, improving performance and relevance for end users. Your ability to build scalable, AI-driven solutions ensures the delivery of intelligent, real-time applications.
• Expertise in Market LLMs and Industry Trends: You are well-versed in the latest industry trends in AI and large language models (LLMs). You have a comprehensive understanding of the strengths and weaknesses of market-leading models like GPT, BERT, PaLM, and others, enabling you to make informed decisions on model selection and customization based on the product's requirements and business objectives.
• You have a proven track record of launching successful AI-powered products at scale, with experience in enterprise or consumer AI applications that are used in the market today.
• You have strong product management rigor, with experience in user research, defining and tracking product metrics, and delivering measurable results.
• You possess a strong technical background, and you have experience working with data scientists, machine learning engineers, and cross-functional teams to bring AI solutions to market.
• You are comfortable driving product strategy, starting small, iterating quickly, and scaling AI products to deliver enterprise-grade solutions.
• You have deep knowledge of enterprise SaaS products, with the ability to understand and deliver on the unique needs of enterprise customers.
• You have experience collaborating with engineering teams to design and deliver AI-driven content management solutions.
• You have a minimum of 4+ years of product management experience in AI/ML
• You hold a technical degree in Computer Science, Mathematics, or related fields, with practical experience in AI, machine learning, or cloud infrastructure.

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 2 days per week, with a focus on Tuesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.

Head-over-heels about this role — but not sure you meet all the requirements? Apply anyway! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Box, we take a big-picture approach to hiring that fosters authenticity, diversity, and inclusion. If you're passionate about this opportunity, chances are, you shine pretty bright.

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.