About The Position

Box is looking for a Solutions Engineer Architect to join a highly impactful and visible team. This role will partner with the sales team and serve as the primary technical advisor for customers building next-generation enterprise applications and AI-powered solutions using the Box platform. The role requires a strong technical background, project management experience, and the ability to present both technical and business materials. It also requires a willingness to learn, as each application architecture will be unique. The Solutions Engineer Architect will help define and accelerate innovative AI use cases on the Box platform by combining technical depth, product thinking, and customer insight. This role offers close connection to product direction and meaningful impact engaging with functional leaders across the business. Exposure to diverse application environments, development patterns, enterprise architectures, and emerging AI workflows will be common. The role is ideal for learning new technologies and growing skills and knowledge due to the unique nature of each customer environment and development project.

Requirements

  • 2+ years of experience in a customer-facing Sales Engineer or Solutions Engineer role with a strong focus on platform, API, and solution-oriented selling in SaaS, software, or related technology environments.
  • Experience playing with, learning, and breaking technology.
  • Ability to interpret and write code.
  • Hands-on technical ability to build prototypes and validate solution patterns.
  • Strong communication and presentation skills.
  • Experience balancing multiple priorities and operating independently.
  • Team-first mindset.
  • Bachelor’s degree.
  • Focus on becoming highly effective in Python, TypeScript, and SQL, with the ability to apply those skills to real-world customer and product scenarios.
  • Comfort with modern AI solution patterns including RAG, model selection, evaluations, tool calling, and security-conscious solution design.
  • Strong technical fluency and hands-on ability to build, validate, and prototype solutions.
  • Strong understanding of enterprise applications, integration patterns, and solution architecture.
  • Curiosity about emerging AI technologies, tooling, and implementation patterns, with a willingness to actively learn and experiment.
  • Strong communication, presentation, and cross-functional collaboration skills, with comfort translating between technical and business audiences.
  • Team-first mindset; ability to operate effectively across Product, Engineering, and Core SE teams, balancing strategic feedback, field needs, and customer-facing execution.
  • Strategic, creative, self-starting mindset with the ability to manage multiple initiatives and thrive in ambiguity.
  • Ability to balance multiple priorities and operate independently to tackle the most impactful work.

Nice To Haves

  • Experience with AI technologies, AI integration patterns, and emerging developer tooling.
  • Demonstrated ability or strong interest in building depth in Python, TypeScript, and SQL as core languages for prototyping, integration, and solution validation.
  • Comfort designing and validating modern AI application patterns including RAG, model selection, evaluations, tool calling, and security-conscious solution design.
  • Experience creating demos, proof of concepts, sample apps, technical playbooks, or architecture guidance.
  • Enterprise solution design experience across SaaS platforms, business systems, and modern application environments.
  • Experience translating field insights into product feedback and roadmap influence.
  • Comfort working in highly cross-functional environments with Product, Engineering, GTM, and enablement teams.
  • Strong product and customer intuition, with the ability to connect technical architecture to business value.

Responsibilities

  • Serve as the primary technical advisor for customers building next-generation enterprise applications and AI-powered solutions using the Box platform.
  • Help define and accelerate innovative AI use cases on the Box platform.
  • Partner with the sales team to help customers understand the value of Box for modern enterprise applications and AI-powered workflows.
  • Build demos, prototypes, proof of concepts, sample applications, architecture patterns, or internal tools.
  • Synthesize technical patterns, customer needs, and implementation insights back into product and engineering conversations.
  • Collaborate with Product to shape roadmap feedback, validate emerging use cases, and inform platform direction.
  • Partner with Core SEs to align on account strategy, technical discovery, solution positioning, and successful customer outcomes.
  • Deepen technical expertise across enterprise architecture, AI integration patterns, and solution design.
  • Explore new technology, especially in AI, and apply that knowledge in customer and internal contexts.
  • Design and validate AI-enabled solution patterns aligned with Box’s platform capabilities and product direction.
  • Engage hands-on with customer and internal teams to develop prototypes and proofs of concept.
  • Create scalable technical guidance including best practices, sample apps, deployment patterns, technical playbooks, and architecture diagrams.
  • Represent Box through demos, solution design sessions, and clear communication of Box’s product vision.
  • Synthesize patterns across customer and solution engagements and feed insights back to Product and Engineering.
  • Partner closely with Core SEs throughout the sales cycle to support discovery, validate technical fit, and develop differentiated solution approaches.
  • Work collaboratively with Product and internal technical stakeholders to test new ideas, refine solution patterns, and ensure field insights are reflected in platform priorities, enablement, and repeatable technical plays.
  • Leverage AI tools and workflows to make faster, smarter decisions and increase impact.

Benefits

  • Equity
  • Benefits and perks
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