Box needs a Senior Engineering Manager to lead multiple teams of infrastructure and ML engineers to define the strategy for the core foundations of the Intelligence Platform, which powers Box AI, and to guide how AI models are applied to real enterprise use cases at scale.
Requirements
- 10+ years of experience in software engineering and/or machine learning, with 5+ years in an engineering management role leading teams (ideally including multi-team or manager-of-managers scope).
- Proven ability to lead large, cross-functional initiatives and ship platform capabilities used by multiple product teams or domains.
- Strong background in AI/ML infrastructure, distributed systems, and cloud-based platforms.
- Hands-on experience in modern programming languages (e.g., Python, C++, Java, or R) with a solid technical foundation.
- Strong understanding of data structures, algorithms, and system design.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).
- Familiarity with cloud-based ML platforms such as Vertex AI, AWS Bedrock, AWS SageMaker, etc.
Responsibilities
- Lead and grow multiple teams of infrastructure and ML engineers (including senior individual contributors and, potentially, other managers) responsible for the AI platform that powers Box AI.
- Define and drive the technical strategy and multi-quarter roadmap for the Intelligence Platform in partnership with Product and other engineering leaders.
- Own execution of complex, multi-team initiatives that ensure our AI solutions are secure, compliant, reliable, and cost-efficient at enterprise scale.
- Collaborate with cross-functional partners, including Product, Design, Security, Legal, and other platform/product teams to create seamless AI powered experiences across Box.
- Establish and evolve operational excellence for your domain (e.g., SLIs/SLOs, on-call practices, incident management, quality and reliability metrics).
- Build and maintain a high-performance culture focused on innovation, technical excellence, and continuous learning, while reinforcing clear expectations and accountability.
- Drive hiring, succession planning, and talent development, with a particular focus on attracting and developing senior engineering talent aligned to the long-term needs of the platform.
Other
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
- Excellent communication and stakeholder management skills, with a track record of partnering effectively with Product, Design, Security, and other cross-functional leaders.
- Ability to work from assigned office a minimum of 3 days per week.
- Experience operating in ambiguous, fast-changing environments, making informed tradeoffs with data, customer insight, and business context.
- Strong understanding of diversity, equity, and inclusion principles and practices.
